Dual-source attention-guided frequency-spatial ensemble attacks for cross-architecture adversarial transferability.

Sparsh Mittal https://orcid.org/0000-0002-2908-993X https://www.wikidata.org/entity/Q53995500

Rohit Singh Nitwal Sparsh Mittal Manav Aggarwal Dual-source attention-guided frequency-spatial ensemble attacks for cross-architecture adversarial transferability. 2026 103838 176 J. Syst. Archit. https://doi.org/10.1016/j.sysarc.2026.103838 db/journals/jsa/jsa176.html#NitwalMA26 streams/journals/jsa

Abhishek Goel Cheena Singhal Sparsh Mittal Sudeb Dasgupta A 252.8-GOPS and 10.1-TOPS/W Split DP-8T SRAM-Based Analog CIM Macro for 9-bit Signed MAC Operations With High Signal Margin. 2026 May 1542-1555 34 IEEE Trans. Very Large Scale Integr. Syst. 5 https://doi.org/10.1109/TVLSI.2026.3663627 db/journals/tvlsi/tvlsi34.html#GoelSMD26 streams/journals/tvlsi

Aabid Amin Fida Sparsh Mittal An Efficient On-chip Adaptation Technique for MAML models on Memristive Hardware. ISCAS 2026 2445-2449 conf/iscas/2026 https://doi.org/10.1109/ISCAS66217.2026.11562824 db/conf/iscas/iscas2026.html#FidaM26 streams/conf/iscas Shresth Shankhdhar Ansh Bharadwaj Vishesh Mishra Sparsh Mittal SilentBite: A Novel LLM-based framework for Automated Hardware Trojan Insertion. ISCAS 2026 3356-3360 conf/iscas/2026 https://doi.org/10.1109/ISCAS66217.2026.11562494 db/conf/iscas/iscas2026.html#ShankhdharBMM26 streams/conf/iscas Priyanshu Tyagi Aayush Gautam Sparsh Mittal A 98.5- TOPS/W and 0.73-TOPS/mm2 Digital Compute-in-Memory Macro with a Novel 6T+MUX Bitcell for Sparsity-Aware MAC Operations. 1-6 2026 VLSID https://doi.org/10.1109/VLSID68508.2026.00015 conf/vlsid/2026 db/conf/vlsid/vlsid2026.html#TyagiGM26 Priyanshu Tyagi Rhythm Patel Sparsh Mittal Rekha Singhal An FPGA-Based Secure and Privacy-Aware RISC-V SoC with a CNN Accelerator for Edge AI. 7-12 2026 VLSID https://doi.org/10.1109/VLSID68508.2026.00016 conf/vlsid/2026 db/conf/vlsid/vlsid2026.html#TyagiPMS26 Harsh Raj Thakur Sparsh Mittal A Transistor-Level Implementation of Radix-2 and Radix-4 FFT Using Logical Effort. 49-54 2026 VLSID https://doi.org/10.1109/VLSID68508.2026.00023 conf/vlsid/2026 db/conf/vlsid/vlsid2026.html#ThakurM26 Cheena Singhal Abhishek Goel Sparsh Mittal Sudeb Dasgupta A 146 GOPS and 7.2 TOPS/W 6T SRAM-Based Analog CIM Macro Using Bit-Splitting for 8-Bit MAC Operations. 281-286 2026 VLSID https://doi.org/10.1109/VLSID68508.2026.00062 conf/vlsid/2026 db/conf/vlsid/vlsid2026.html#SinghalGMD26 Vishesh Mishra Sparsh Mittal Urbi Chatterjee PowerShift: Leveraging Power-Aware Weight Approximations for Neural Network Acceleration. 383-388 2026 VLSID https://doi.org/10.1109/VLSID68508.2026.00079 conf/vlsid/2026 db/conf/vlsid/vlsid2026.html#MishraMC26 Tushar Prakash Onkar Susladkar Inderjit S. Dhillon Sparsh Mittal Pyramidal Spectrum: Frequency-based Hierarchically Vector Quantized VAE for Videos. WACV 2026 2073-2082 conf/wacv/2026 https://doi.org/10.1109/WACV61042.2026.00206 db/conf/wacv/wacv2026.html#PrakashSDM26 streams/conf/wacv Gayatri Deshmukh Somsubhra De Chirag Sehgal Jishu Sen Gupta Sparsh Mittal Dressing the Imagination: A Dataset for AI-Powered Translation of Text into Fashion Outfits and A Novel NeRA Adapter for Enhanced Feature Adaptation. WACV 2026 2094-2103 conf/wacv/2026 https://doi.org/10.1109/WACV61042.2026.00208 db/conf/wacv/wacv2026.html#DeshmukhDSGM26 streams/conf/wacv Onkar Susladkar Rohit Pawar Chirag Sehgal Samaksh Ujjawal Sparsh Mittal Confidence Through Parallel Attention for Depth and Uncertainty Estimation in Dynamic Environments. WACV 2026 4396-4406 conf/wacv/2026 https://doi.org/10.1109/WACV61042.2026.00428 db/conf/wacv/wacv2026.html#SusladkarPSUM26 streams/conf/wacv

Onkar Susladkar Tushar Prakash Gayatri Deshmukh Kiet A. Nguyen Jiaxun Zhang Adheesh Sunil Juvekar Tianshu Bao Lin Chai Sparsh Mittal Inderjit S. Dhillon Ismini Lourentzou Best of Both Worlds: Multimodal Reasoning and Generation via Unified Discrete Flow Matching. 2026 February abs/2602.12221 CoRR https://doi.org/10.48550/arXiv.2602.12221 db/journals/corr/corr2602.html#abs-2602-12221 streams/journals/corr

Vishesh Mishra Sparsh Mittal Urbi Chatterjee Novel hybrid probabilistic-statistical error metrics for approximate adders. 103467 2025 167 J. Syst. Archit. https://doi.org/10.1016/j.sysarc.2025.103467 db/journals/jsa/jsa167.html#MishraMC25 streams/journals/jsa

Vishesh Mishra Dipesh Sparsh Mittal Urbi Chatterjee SATGuard: SAT-driven Countermeasures for Protecting Approximate Circuits from Hardware Trojan. 164:1-164:29 2025 November 24 ACM Trans. Embed. Comput. Syst. 6 https://doi.org/10.1145/3766894 db/journals/tecs/tecs24.html#MishraDMC25 streams/journals/tecs

Abhishek Goel Cheena Singhal Dinesh Kushwaha Sparsh Mittal Sudeb Dasgupta A 6T SRAM Analog CIM Macro for 8-Bit MAC with Input/Weight Partitioning for High Signal Margin and Throughput. 1-5 2025 APCCAS https://doi.org/10.1109/APCCAS67402.2025.11377891 conf/apccas/2025 db/conf/apccas/apccas2025.html#GoelSKMD25 Priyanshu Tyagi Sparsh Mittal A 101 TOPS/W and 1.73 TOPS/mm2 6T SRAM-Based Digital Compute-in-Memory Macro Featuring a Novel 2T Multiplier. 1-7 2025 DATE https://doi.org/10.23919/DATE64628.2025.10992830 conf/date/2025 db/conf/date/date2025.html#TyagiM25 Sparsh Mittal Yash Chand Mintu Kumar Neel Kanth Kundu Hybrid Quantum Machine Learning based Human Speech Emotion Recognition. 1-5 2025 ICASSP Workshops https://doi.org/10.1109/ICASSPW65056.2025.11011221 conf/icassp/2025w db/conf/icassp/icassp2025w.html#MittalCKK25 Harshal Kausadikar Tanvi Kale Onkar Susladkar Sparsh Mittal Historic Scripts to Modern Vision: A Novel Dataset and A VLM Framework for Transliteration of Modi Script to Devanagari. 40-61 2025 ICDAR (5) https://doi.org/10.1007/978-3-032-04630-7_3 conf/icdar/2025-5 db/conf/icdar/icdar2025-5.html#KausadikarKSM25 streams/conf/icdar Onkar Kishor Susladkar Jishu Sen Gupta Chirag Sehgal Sparsh Mittal Rekha Singhal MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion. 2025 ICLR https://openreview.net/forum?id=bW9fGYo44s conf/iclr/2025 db/conf/iclr/iclr2025.html#SusladkarGSMS25 Cheena Singhal Sparsh Mittal A 6T SRAM based reconfigurable in-memory XOR/XNOR and accumulation architecture. 1-6 2025 ISVLSI https://doi.org/10.1109/ISVLSI65124.2025.11130277 conf/isvlsi/2025 db/conf/isvlsi/isvlsi2025.html#SinghalM25 streams/conf/isvlsi Dhayan Dhananjaya Senanayake Priyanshu Tyagi Sparsh Mittal Rekha Singhal An SRAM-Based Multi-Operand Architecture Implementing Multi-Bit Boolean Functions Using in-Memory Periphery Computing. 145-150 2025 VLSID https://doi.org/10.1109/VLSID64188.2025.00038 conf/vlsid/2025 db/conf/vlsid/vlsid2025.html#SenanayakeTMS25 Ratul Kishore Saha Sparsh Mittal Rekha Singhal Manoj Nambiar 0001 CADAEC: Content-Aware Deployment of AI Workloads in Edge-Cloud Ecosystem. 298-308 2025 ICPE https://doi.org/10.1145/3676151.3719355 conf/wosp/2025 db/conf/wosp/icpe2025.html#SahaMS025

Vandan Gorade Sparsh Mittal Neethi Dasu Rekha Singhal KC Santosh Debesh Jha L2GNet: Optimal Local-to-Global Representation of Anatomical Structures for Generalized Medical Image Segmentation. 2025 February abs/2502.05229 CoRR https://doi.org/10.48550/arXiv.2502.05229 db/journals/corr/corr2502.html#abs-2502-05229 streams/journals/corr

Harshal Kausadikar Tanvi Kale Onkar Susladkar Sparsh Mittal Historic Scripts to Modern Vision: A Novel Dataset and A VLM Framework for Transliteration of Modi Script to Devanagari. 2025 March abs/2503.13060 CoRR https://doi.org/10.48550/arXiv.2503.13060 db/journals/corr/corr2503.html#abs-2503-13060 streams/journals/corr

Suvarthi Sarkar Sparsh Mittal Shivam Garg Aryabartta Sahu Scientific Workflow Scheduling in Cloud Considering Cold Start and Variable Pricing Model. 2025 April abs/2504.21536 CoRR https://doi.org/10.48550/arXiv.2504.21536 db/journals/corr/corr2504.html#abs-2504-21536 streams/journals/corr

Anurag Kamal Vishesh Mishra Sparsh Mittal Mahendra Rathor Chandan Kumar Urbi Chatterjee Sorting Attacks Resilient Authentication Protocol for CMOS Image Sensor Based PUF. 1-6 2024 AsianHOST https://doi.org/10.1109/AsianHOST63913.2024.10838484 conf/asianhost/2024 db/conf/asianhost/asianhost2024.html#KamalMMRKC24 streams/conf/asianhost Maruthi Seshidhar Inukonda Krishna Prashanth Thummanapelly Bheemarjuna Reddy Tamma Sparsh Mittal TEFAR: An Efficient Transparent Finer-Grained Encryption of Internet Access Artifacts. 1164-1169 2024 COMSNETS https://doi.org/10.1109/COMSNETS59351.2024.10427430 conf/comsnets/2024 db/conf/comsnets/comsnets2024.html#InukondaTTM24 Onkar Susladkar Gayatri Deshmukh Vandan Gorade Sparsh Mittal GRIZAL: Generative Prior-guided Zero-Shot Temporal Action Localization. 19046-19059 2024 EMNLP https://doi.org/10.18653/v1/2024.emnlp-main.1061 https://aclanthology.org/2024.emnlp-main.1061 conf/emnlp/2024 db/conf/emnlp/emnlp2024.html#SusladkarDGM24 Onkar Susladkar Gayatri Deshmukh Sparsh Mittal Parth Shastri D2Styler: Advancing Arbitrary Style Transfer with Discrete Diffusion Methods. 63-82 2024 ICPR (6) https://doi.org/10.1007/978-3-031-78172-8_5 conf/icpr/2024-6 db/conf/icpr/icpr2024-6.html#SusladkarDMS24 streams/conf/icpr Vandan Gorade Sparsh Mittal Debesh Jha Rekha Singhal Ulas Bagci Harmonized Spatial and Spectral Learning for Generalized Medical Image Segmentation. 178-193 2024 ICPR (13) https://doi.org/10.1007/978-3-031-78201-5_12 conf/icpr/2024-13 db/conf/icpr/icpr2024-13.html#GoradeMJSB24 streams/conf/icpr Vandan Gorade Sparsh Mittal Debesh Jha Ulas Bagci Rethinking Intermediate Layers Design in Knowledge Distillation for Kidney and Liver Tumor Segmentation. 1-6 2024 ISBI https://doi.org/10.1109/ISBI56570.2024.10635141 conf/isbi/2024 db/conf/isbi/isbi2024.html#GoradeMJB24 streams/conf/isbi Vibhu Shivang Bhargav Vivek Kumar Sparsh Mittal Machine Learning Based Algorithm for Shockley-Read-Hall Recombination and Augur Recombination Predictions. 93-98 2024 iSES https://doi.org/10.1109/iSES63344.2024.00029 conf/ises/2024 db/conf/ises/ises2024.html#VibhuBKM24 Divya Aggarwal R. Sai Chandra Teja Sparsh Mittal A Stacking Ensemble Technique to Predict Speed and Distance in 4G and 5G Communication Datasets. 146-151 2024 iSES https://doi.org/10.1109/iSES63344.2024.00038 conf/ises/2024 db/conf/ises/ises2024.html#AggarwalTM24 Tushir Sahu Vidhi Bhatt Sparsh Mittal R. Sai Chandra Teja Nagesh Kumar S SPEEDNet: Salient Pyramidal Enhancement Encoder-Decoder Network for Colonoscopy Images. 152-157 2024 iSES https://doi.org/10.1109/iSES63344.2024.00039 conf/ises/2024 db/conf/ises/ises2024.html#SahuBMTS24 Vishesh Mishra Sparsh Mittal Nirbhay Mishra Rekha Singhal Security Implications of Approximation: A Study of Trojan Attacks on Approximate Adders and Multipliers. 511-516 2024 VLSID https://doi.org/10.1109/VLSID60093.2024.00091 conf/vlsid/2024 db/conf/vlsid/vlsid2024.html#MishraMMS24 Gayatri Deshmukh Onkar Susladkar Dhruv Makwana Sparsh Mittal R. Sai Chandra Teja Textual Alchemy: CoFormer for Scene Text Understanding. 2919-2929 2024 WACV https://doi.org/10.1109/WACV57701.2024.00291 conf/wacv/2024 db/conf/wacv/wacv2024.html#DeshmukhSMMT24 Dhruv Makwana Gayatri Deshmukh Onkar Susladkar Sparsh Mittal R. Sai Chandra Teja LIVENet: A novel network for real-world low-light image denoising and enhancement. 5844-5853 2024 WACV https://doi.org/10.1109/WACV57701.2024.00575 conf/wacv/2024 db/conf/wacv/wacv2024.html#MakwanaDSMT24 Vandan Gorade Sparsh Mittal Debesh Jha Ulas Bagci SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation. 7753-7762 2024 WACV https://doi.org/10.1109/WACV57701.2024.00759 conf/wacv/2024 db/conf/wacv/wacv2024.html#GoradeMJB24

Vandan Gorade Sparsh Mittal Debesh Jha Rekha Singhal Ulas Bagci Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation. 2024 abs/2401.10373 CoRR https://doi.org/10.48550/arXiv.2401.10373 db/journals/corr/corr2401.html#abs-2401-10373

Onkar Susladkar Gayatri Deshmukh Sparsh Mittal Parth Shastri D2Styler: Advancing Arbitrary Style Transfer with Discrete Diffusion Methods. 2024 abs/2408.03558 CoRR https://doi.org/10.48550/arXiv.2408.03558 db/journals/corr/corr2408.html#abs-2408-03558 streams/journals/corr

Sparsh Mittal Yash Chand Neel Kanth Kundu Hybrid Quantum Neural Network based Indoor User Localization using Cloud Quantum Computing. 2024 abs/2410.00708 CoRR https://doi.org/10.48550/arXiv.2410.00708 db/journals/corr/corr2410.html#abs-2410-00708 streams/journals/corr

Onkar Susladkar Jishu Sen Gupta Chirag Sehgal Sparsh Mittal Rekha Singhal MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion. 2024 abs/2410.07659 CoRR https://doi.org/10.48550/arXiv.2410.07659 db/journals/corr/corr2410.html#abs-2410-07659 streams/journals/corr

Ashwini Malviya Sparsh Mittal Comparison of Machine Learning Approaches for Classifying Spinodal Events. 2024 abs/2410.09756 CoRR https://doi.org/10.48550/arXiv.2410.09756 db/journals/corr/corr2410.html#abs-2410-09756 streams/journals/corr

Gayatri Deshmukh Somsubhra De Chirag Sehgal Jishu Sen Gupta Sparsh Mittal Dressing the Imagination: A Dataset for AI-Powered Translation of Text into Fashion Outfits and A Novel KAN Adapter for Enhanced Feature Adaptation. 2024 abs/2411.13901 CoRR https://doi.org/10.48550/arXiv.2411.13901 db/journals/corr/corr2411.html#abs-2411-13901 streams/journals/corr

Vandan Gorade Sparsh Mittal Rekha Singhal PaCL: Patient-aware contrastive learning through metadata refinement for generalized early disease diagnosis. 107569 2023 December 167 Comput. Biol. Medicine https://doi.org/10.1016/j.compbiomed.2023.107569 db/journals/cbm/cbm167.html#GoradeMS23

Dhruv Makwana R. Sai Chandra Teja Sparsh Mittal PCBSegClassNet - A light-weight network for segmentation and classification of PCB component. 120029 2023 September 225 Expert Syst. Appl. https://doi.org/10.1016/j.eswa.2023.120029 db/journals/eswa/eswa225.html#MakwanaTM23

Aabid Amin Fida Farooq Ahmad Khanday Sparsh Mittal An active memristor based rate-coded spiking neural network. 61-71 2023 533 Neurocomputing https://doi.org/10.1016/j.neucom.2023.02.038 db/journals/ijon/ijon533.html#FidaKM23

Krishna Teja Chitty-Venkata Sparsh Mittal Murali Emani Venkatram Vishwanath Arun K. Somani A survey of techniques for optimizing transformer inference. 102990 2023 November 144 J. Syst. Archit. https://doi.org/10.1016/j.sysarc.2023.102990 db/journals/jsa/jsa144.html#ChittyVenkataMEVS23

Jens Domke Emil Vatai Balazs Gerofi Yuetsu Kodama Mohamed Wahib Artur Podobas Sparsh Mittal Miquel Pericàs Lingqi Zhang 0001 Peng Chen 0035 Aleksandr Drozd Satoshi Matsuoka At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads. 57:1-57:26 2023 December 20 ACM Trans. Archit. Code Optim. 4 https://doi.org/10.1145/3629520 https://www.wikidata.org/entity/Q130938604 db/journals/taco/taco20.html#DomkeVGKWPMPZCDM23

Vishesh Mishra Sparsh Mittal Neelofar Hassan Rekha Singhal Urbi Chatterjee VADF: Versatile Approximate Data Formats for Energy-Efficient Computing. 111:1-111:21 2023 October 22 ACM Trans. Embed. Comput. Syst. 5s https://doi.org/10.1145/3609106 db/journals/tecs/tecs22.html#MishraMHSC23

Sparsh Mittal Srishti Srivastava 0001 J. Phani Jayanth A Survey of Deep Learning Techniques for Underwater Image Classification. 6968-6982 2023 October 34 IEEE Trans. Neural Networks Learn. Syst. 10 https://doi.org/10.1109/TNNLS.2022.3143887 db/journals/tnn/tnn34.html#MittalSJ23

Maruthi Seshidhar Inukonda Jatin Tarachandani Imtiaz Ahmed Bheemarjuna Reddy Tamma Sparsh Mittal ZETA: A Zero-Trust Security based Forensic-Ready Solution for Perimeter-less Enterprise Networks. 189-194 2023 ANTS https://doi.org/10.1109/ANTS59832.2023.10469629 conf/IEEEants/2023 db/conf/IEEEants/IEEEants2023.html#InukondaTATM23 Onkar Susladkar Gayatri S. Deshmukh Sparsh Mittal R. Sai Chandra Teja Rekha Singhal LiBERTy: A Novel Model for Natural Language Understanding. 1:1-1:9 2023 AIMLSystems https://doi.org/10.1145/3639856.3639857 conf/aiml2/2023 db/conf/aiml2/aiml2023.html#SusladkarDMTS23 Aaditi Kapre Shruti Kunde Sparsh Mittal Rekha Singhal RAxC: Reflexivity-based Approximate Computing techniques for efficient remote sensing. 1168-1173 2023 IEEE Big Data https://doi.org/10.1109/BigData59044.2023.10386511 conf/bigdataconf/2023 db/conf/bigdataconf/bigdataconf2023.html#KapreKMS23 Maruthi Seshidhar Inukonda Sai Harsha Kottapalli Bheemarjuna Reddy Tamma Sparsh Mittal FENCE: A Real-Time Privacy-Preserving Solution for Enterprise Internet Forensics at Scale. 174-176 2023 COMSNETS https://doi.org/10.1109/COMSNETS56262.2023.10041422 conf/comsnets/2023 db/conf/comsnets/comsnets2023.html#InukondaKTM23 Onkar Susladkar Dhruv Makwana Gayatri Deshmukh Sparsh Mittal R. Sai Chandra Teja Rekha Singhal TPFNet: A Novel Text In-painting Transformer for Text Removal. 155-172 2023 ICDAR (6) https://doi.org/10.1007/978-3-031-41731-3_10 conf/icdar/2023-6 db/conf/icdar/icdar2023-6.html#SusladkarMDMTS23 Yash Khare Kumud Lakara Sparsh Mittal Arvind Kaushik Rekha Singhal SpotOn: A Gradient-based Targeted Data Poisoning Attack on Deep Neural Networks. 1-8 2023 ISQED https://doi.org/10.1109/ISQED57927.2023.10129311 conf/isqed/2023 db/conf/isqed/isqed2023.html#KhareLMKS23 Ananya Mantravadi Dhruv Makwana R. Sai Chandra Teja Sparsh Mittal Rekha Singhal Dilated Involutional Pyramid Network (DInPNet): A Novel Model for Printed Circuit Board (PCB) Components Classification. 1-7 2023 ISQED https://doi.org/10.1109/ISQED57927.2023.10129388 conf/isqed/2023 db/conf/isqed/isqed2023.html#MantravadiMTMS23 Vishesh Mishra Sparsh Mittal Rekha Singhal Manoj Nambiar 0001 Novel, Configurable Approximate Floating-point Multipliers for Error-Resilient Applications. 1-7 2023 ISQED https://doi.org/10.1109/ISQED57927.2023.10129296 conf/isqed/2023 db/conf/isqed/isqed2023.html#MishraMS023 Vishu Saxena Yash Jain Sparsh Mittal Machine Learning and Polynomial Chaos models for Accurate Prediction of SET Pulse Current. 1-6 2023 ISVLSI https://doi.org/10.1109/ISVLSI59464.2023.10238585 conf/isvlsi/2023 db/conf/isvlsi/isvlsi2023.html#SaxenaJM23 Vibhu Sparsh Mittal Vivek Kumar Machine Learning-based model for Single Event Upset Current Prediction in 14nm FinFETs. 1-6 2023 VLSID https://doi.org/10.1109/VLSID57277.2023.00048 conf/vlsid/2023 db/conf/vlsid/vlsid2023.html#VibhuMK23 Onkar Susladkar Gayatri Deshmukh Dhruv Makwana Sparsh Mittal R. Sai Chandra Teja Rekha Singhal GAFNet: A Global Fourier Self Attention Based Novel Network for multi-modal downstream tasks. 5231-5240 2023 WACV https://doi.org/10.1109/WACV56688.2023.00521 conf/wacv/2023 db/conf/wacv/wacv2023.html#SusladkarDMMTS23

Krishna Teja Chitty-Venkata Sparsh Mittal Murali Emani Venkatram Vishwanath Arun K. Somani A Survey of Techniques for Optimizing Transformer Inference. 2023 abs/2307.07982 CoRR https://doi.org/10.48550/arXiv.2307.07982 db/journals/corr/corr2307.html#abs-2307-07982

Vandan Gorade Sparsh Mittal Debesh Jha Ulas Bagci SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation. 2023 abs/2310.17764 CoRR https://doi.org/10.48550/arXiv.2310.17764 db/journals/corr/corr2310.html#abs-2310-17764

Vandan Gorade Sparsh Mittal Debesh Jha Ulas Bagci Rethinking Intermediate Layers design in Knowledge Distillation for Kidney and Liver Tumor Segmentation. 2023 abs/2311.16700 CoRR https://doi.org/10.48550/arXiv.2311.16700 db/journals/corr/corr2311.html#abs-2311-16700

Tushir Sahu Vidhi Bhatt R. Sai Chandra Teja Sparsh Mittal Nagesh Kumar S SPEEDNet: Salient Pyramidal Enhancement Encoder-Decoder Network for Colonoscopy Images. 2023 abs/2312.01128 CoRR https://doi.org/10.48550/arXiv.2312.01128 db/journals/corr/corr2312.html#abs-2312-01128

Maruthi Seshidhar Inukonda Atharva Rajendra Karpate Bheemarjuna Reddy Tamma Sparsh Mittal Praveen Tammana NASCENT: A Non-Invasive Solution for Detecting Utilization of Servers in Bare-Metal Cloud. 12866-12881 2022 10 IEEE Access https://doi.org/10.1109/ACCESS.2022.3145955 db/journals/access/access10.html#InukondaKTMT22

Subhrajit Nag Dhruv Makwana R. Sai Chandra Teja Sparsh Mittal C. Krishna Mohan WaferSegClassNet - A light-weight network for classification and segmentation of semiconductor wafer defects. 103720 2022 142 Comput. Ind. https://doi.org/10.1016/j.compind.2022.103720 db/journals/cii/cii142.html#NagMTMM22

Onkar Susladkar Gayatri Deshmukh Subhrajit Nag Ananya Mantravadi Dhruv Makwana Sujitha Ravichandran R. Sai Chandra Teja Gajanan H. Chavhan C. Krishna Mohan Sparsh Mittal ClarifyNet: A high-pass and low-pass filtering based CNN for single image dehazing. 102736 2022 132 J. Syst. Archit. https://doi.org/10.1016/j.sysarc.2022.102736 db/journals/jsa/jsa132.html#SusladkarDNMMRT22

Sheel Sindhu Manohar Sparsh Mittal Hemangee K. Kapoor CORIDOR: Using COherence and TempoRal LocalIty to Mitigate Read Disurbance ErrOR in STT-RAM Caches. 2:1-2:24 2022 21 ACM Trans. Embed. Comput. Syst. 1 https://doi.org/10.1145/3484493 https://www.wikidata.org/entity/Q130960036 db/journals/tecs/tecs21.html#ManoharMK22

Sparsh Mittal Poonam Rajput Sreenivas Subramoney A Survey of Deep Learning on CPUs: Opportunities and Co-Optimizations. 5095-5115 2022 33 IEEE Trans. Neural Networks Learn. Syst. 10 https://doi.org/10.1109/TNNLS.2021.3071762 https://www.wikidata.org/entity/Q114931953 db/journals/tnn/tnn33.html#MittalRS22

Yash Jain Vishu Saxena Sparsh Mittal Ensembling Deep Learning And CIELAB Color Space Model for Fire Detection from UAV images. 7:1-7:9 2022 AIMLSystems https://doi.org/10.1145/3564121.3564130 conf/aiml2/2022 db/conf/aiml2/aiml2022.html#JainSM22 Yash Khare Kumud Lakara Maruthi Seshidhar Inukonda Sparsh Mittal Mahesh Chandra Arvind Kaushik Design and Analysis of Novel Bit-flip Attacks and Defense Strategies for DNNs. 1-8 2022 DSC https://doi.org/10.1109/DSC54232.2022.9888943 conf/desec/2022 db/conf/desec/desec2022.html#KhareLIMCK22 Sudhir Kumar Rai Ashish Mittal Sparsh Mittal A Node-Embedding Features Based Machine Learning Technique for Dynamic Malware Detection. 1-8 2022 DSC https://doi.org/10.1109/DSC54232.2022.9888836 conf/desec/2022 db/conf/desec/desec2022.html#RaiMM22 Vishesh Mishra Sparsh Mittal Saurabh Singh Divy Pandey Rekha Singhal MEGA-MAC: A Merged Accumulation based Approximate MAC Unit for Error Resilient Applications. 325-328 2022 ACM Great Lakes Symposium on VLSI https://doi.org/10.1145/3526241.3530384 https://www.wikidata.org/entity/Q130958409 conf/glvlsi/2022 db/conf/glvlsi/glvlsi2022.html#MishraMSPS22

Jens Domke Emil Vatai Balazs Gerofi Yuetsu Kodama Mohamed Wahib Artur Podobas Sparsh Mittal Miquel Pericàs Lingqi Zhang 0001 Peng Chen 0035 Aleksandr Drozd Satoshi Matsuoka At the Locus of Performance: A Case Study in Enhancing CPUs with Copious 3D-Stacked Cache. 2022 abs/2204.02235 CoRR https://doi.org/10.48550/arXiv.2204.02235 db/journals/corr/corr2204.html#abs-2204-02235

Subhrajit Nag Dhruv Makwana R. Sai Chandra Teja Sparsh Mittal C. Krishna Mohan WaferSegClassNet - A Light-weight Network for Classification and Segmentation of Semiconductor Wafer Defects. 2022 abs/2207.00960 CoRR https://doi.org/10.48550/arXiv.2207.00960 db/journals/corr/corr2207.html#abs-2207-00960

Dhruv Makwana Subhrajit Nag Onkar Susladkar Gayatri Deshmukh R. Sai Chandra Teja Sparsh Mittal C. Krishna Mohan ACLNet: An Attention and Clustering-based Cloud Segmentation Network. 2022 abs/2207.06277 CoRR https://doi.org/10.48550/arXiv.2207.06277 db/journals/corr/corr2207.html#abs-2207-06277

Onkar Susladkar Dhruv Makwana Gayatri Deshmukh Sparsh Mittal R. Sai Chandra Teja Rekha Singhal TPFNet: A Novel Text In-painting Transformer for Text Removal. 2022 abs/2210.14461 CoRR https://doi.org/10.48550/arXiv.2210.14461 db/journals/corr/corr2210.html#abs-2210-14461

Sparsh Mittal Sumanth Umesh A survey On hardware accelerators and optimization techniques for RNNs. 101839 2021 112 J. Syst. Archit. https://doi.org/10.1016/j.sysarc.2020.101839 db/journals/jsa/jsa112.html#MittalU21

Sumanth Umesh Sparsh Mittal A survey of techniques for intermittent computing. 101859 2021 112 J. Syst. Archit. https://doi.org/10.1016/j.sysarc.2020.101859 db/journals/jsa/jsa112.html#UmeshM21

Sparsh Mittal Vibhu A survey of accelerator architectures for 3D convolution neural networks. 102041 2021 115 J. Syst. Archit. https://doi.org/10.1016/j.sysarc.2021.102041 db/journals/jsa/jsa115.html#MittalV21

Santanu Pattanayak Subhrajit Nag Sparsh Mittal CURATING: A multi-objective based pruning technique for CNNs. 102031 2021 116 J. Syst. Archit. https://doi.org/10.1016/j.sysarc.2021.102031 db/journals/jsa/jsa116.html#PattanayakNM21

Srishti Srivastava 0001 Sarthak Narayan Sparsh Mittal A survey of deep learning techniques for vehicle detection from UAV images. 102152 2021 117 J. Syst. Archit. https://doi.org/10.1016/j.sysarc.2021.102152 db/journals/jsa/jsa117.html#SrivastavaNM21

Sparsh Mittal Himanshi Gupta Srishti Srivastava 0001 A survey on hardware security of DNN models and accelerators. 102163 2021 117 J. Syst. Archit. https://doi.org/10.1016/j.sysarc.2021.102163 https://www.wikidata.org/entity/Q115036603 db/journals/jsa/jsa117.html#MittalGS21

Nivedita Shrivastava Muhammad Abdullah Hanif Sparsh Mittal Smruti Ranjan Sarangi Muhammad Shafique 0001 A survey of hardware architectures for generative adversarial networks. 102227 2021 118 J. Syst. Archit. https://doi.org/10.1016/j.sysarc.2021.102227 db/journals/jsa/jsa118.html#ShrivastavaHMSS21

Sparsh Mittal Gaurav Verma 0002 Brajesh Kumar Kaushik Farooq Ahmad Khanday A survey of SRAM-based in-memory computing techniques and applications. 102276 2021 119 J. Syst. Archit. https://doi.org/10.1016/j.sysarc.2021.102276 db/journals/jsa/jsa119.html#MittalVKK21

Nandan Kumar Jha Sparsh Mittal Modeling Data Reuse in Deep Neural Networks by Taking Data-Types into Cognizance. 1526-1538 2021 70 IEEE Trans. Computers 9 https://doi.org/10.1109/TC.2020.3015531 db/journals/tc/tc70.html#JhaM21

Saksham Sharma Vanshika V. Bhargava Aditya Kumar Singh Kshitij Bhardwaj Sparsh Mittal Leveraging Prediction Confidence For Versatile Optimizations to CNNs. 2:1-2:7 2021 AIMLSystems https://doi.org/10.1145/3486001.3486222 https://www.wikidata.org/entity/Q130969927 conf/aiml2/2021 db/conf/aiml2/aiml2021.html#SharmaBSBM21 Bhargav Achary Dandpati Kumar R. Sai Chandra Teja Sparsh Mittal Biswabandan Panda C. Krishna Mohan Inferring DNN layer-types through a Hardware Performance Counters based Side Channel Attack. 4:1-4:7 2021 AIMLSystems https://doi.org/10.1145/3486001.3486224 conf/aiml2/2021 db/conf/aiml2/aiml2021.html#KumarTMPM21

Sparsh Mittal A survey on evaluating and optimizing performance of Intel Xeon Phi. 2020 32 Concurr. Comput. Pract. Exp. 19 https://doi.org/10.1002/cpe.5742 db/journals/concurrency/concurrency32.html#Mittal20

Nandan Kumar Jha Sparsh Mittal Binod Kumar 0001 Govardhan Mattela DeepPeep: Exploiting Design Ramifications to Decipher the Architecture of Compact DNNs. 5:1-5:25 2020 17 ACM J. Emerg. Technol. Comput. Syst. 1 https://doi.org/10.1145/3414552 db/journals/jetc/jetc17.html#JhaMKM20

Sparsh Mittal A survey on modeling and improving reliability of DNN algorithms and accelerators. 101689 2020 104 J. Syst. Archit. https://doi.org/10.1016/j.sysarc.2019.101689 https://www.wikidata.org/entity/Q126658498 db/journals/jsa/jsa104.html#Mittal20

Sparsh Mittal A survey of FPGA-based accelerators for convolutional neural networks. 1109-1139 2020 32 Neural Comput. Appl. 4 https://doi.org/10.1007/s00521-018-3761-1 https://www.wikidata.org/entity/Q57694338 db/journals/nca/nca32.html#Mittal20

Poonam Rajput Sparsh Mittal Sarthak Narayan Improving Accuracy and Efficiency of Object Detection Algorithms Using Multiscale Feature Aggregation Plugins. 65-76 2020 ANNPR https://doi.org/10.1007/978-3-030-58309-5_5 conf/annpr/2020 db/conf/annpr/annpr2020.html#RajputMN20 Poonam Rajput Subhrajit Nag Sparsh Mittal Detecting Usage of Mobile Phones using Deep Learning Technique. 96-101 2020 GOODTECHS https://doi.org/10.1145/3411170.3411275 https://www.wikidata.org/entity/Q130963787 conf/goodtechs/2020 db/conf/goodtechs/goodtechs2020.html#RajputNM20 Nandan Kumar Jha Shreyas Ravishankar Sparsh Mittal Arvind Kaushik Dipan Mandal Mahesh Chandra DRACO: Co-Optimizing Hardware Utilization, and Performance of DNNs on Systolic Accelerator. 574-579 2020 ISVLSI https://doi.org/10.1109/ISVLSI49217.2020.00088 conf/isvlsi/2020 db/conf/isvlsi/isvlsi2020.html#JhaRMKMC20 Nandan Kumar Jha Rajat Saini Subhrajit Nag Sparsh Mittal E2GC: Energy-efficient Group Convolution in Deep Neural Networks. 155-160 2020 VLSID https://doi.org/10.1109/VLSID49098.2020.00044 conf/vlsid/2020 db/conf/vlsid/vlsid2020.html#JhaSNM20 Rajat Saini Nandan Kumar Jha Bedanta Das Sparsh Mittal C. Krishna Mohan ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks. 1616-1625 2020 WACV https://doi.org/10.1109/WACV45572.2020.9093341 conf/wacv/2020 db/conf/wacv/wacv2020.html#SainiJDMM20

Nandan Kumar Jha Sparsh Mittal Govardhan Mattela The Ramifications of Making Deep Neural Networks Compact. 2020 abs/2006.15098 CoRR https://arxiv.org/abs/2006.15098 db/journals/corr/corr2006.html#abs-2006-15098

Nandan Kumar Jha Rajat Saini Subhrajit Nag Sparsh Mittal E2GC: Energy-efficient Group Convolution in Deep Neural Networks. 2020 abs/2006.15100 CoRR https://arxiv.org/abs/2006.15100 db/journals/corr/corr2006.html#abs-2006-15100

Rajat Saini Nandan Kumar Jha Bedanta Das Sparsh Mittal C. Krishna Mohan ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks. 2020 abs/2006.15102 CoRR https://arxiv.org/abs/2006.15102 db/journals/corr/corr2006.html#abs-2006-15102

Nandan Kumar Jha Shreyas Ravishankar Sparsh Mittal Arvind Kaushik Dipan Mandal Mahesh Chandra DRACO: Co-Optimizing Hardware Utilization, and Performance of DNNs on Systolic Accelerator. 2020 abs/2006.15103 CoRR https://arxiv.org/abs/2006.15103 db/journals/corr/corr2006.html#abs-2006-15103

Nandan Kumar Jha Rajat Saini Sparsh Mittal On the Demystification of Knowledge Distillation: A Residual Network Perspective. 2020 abs/2006.16589 CoRR https://arxiv.org/abs/2006.16589 db/journals/corr/corr2006.html#abs-2006-16589

Nandan Kumar Jha Sparsh Mittal Binod Kumar 0001 Govardhan Mattela DeepPeep: Exploiting Design Ramifications to Decipher the Architecture of Compact DNNs. 2020 abs/2007.15248 CoRR https://arxiv.org/abs/2007.15248 db/journals/corr/corr2007.html#abs-2007-15248

Nandan Kumar Jha Sparsh Mittal Modeling Data Reuse in Deep Neural Networks by Taking Data-Types into Cognizance. 2020 abs/2008.02565 CoRR https://arxiv.org/abs/2008.02565 db/journals/corr/corr2008.html#abs-2008-02565

Sparsh Mittal A survey of techniques for dynamic branch prediction. 2019 31 Concurr. Comput. Pract. Exp. 1 https://doi.org/10.1002/cpe.4666 https://www.wikidata.org/entity/Q57694342 db/journals/concurrency/concurrency31.html#Mittal19

Sparsh Mittal Venkat Mattela A survey of techniques for improving efficiency of mobile web browsing. 2019 31 Concurr. Comput. Pract. Exp. 15 https://doi.org/10.1002/cpe.5126 https://www.wikidata.org/entity/Q128508055 db/journals/concurrency/concurrency31.html#MittalM19

Sumanth Umesh Sparsh Mittal A survey of spintronic architectures for processing-in-memory and neural networks. 349-372 2019 97 J. Syst. Archit. https://doi.org/10.1016/j.sysarc.2018.11.005 https://www.wikidata.org/entity/Q128901584 db/journals/jsa/jsa97.html#UmeshM19

Sparsh Mittal Subhrajit Nag A survey of encoding techniques for reducing data-movement energy. 373-396 2019 97 J. Syst. Archit. https://doi.org/10.1016/j.sysarc.2018.11.001 db/journals/jsa/jsa97.html#MittalN19

Sparsh Mittal A Survey on optimized implementation of deep learning models on the NVIDIA Jetson platform. 428-442 2019 97 J. Syst. Archit. https://doi.org/10.1016/j.sysarc.2019.01.011 https://www.wikidata.org/entity/Q128458749 db/journals/jsa/jsa97.html#Mittal19

Sparsh Mittal A survey on applications and architectural-optimizations of Micron's Automata Processor. 135-164 2019 98 J. Syst. Archit. https://doi.org/10.1016/j.sysarc.2019.07.006 https://www.wikidata.org/entity/Q127497873 db/journals/jsa/jsa98.html#Mittal19a

Sparsh Mittal Shraiysh Vaishay A survey of techniques for optimizing deep learning on GPUs. 2019 99 J. Syst. Archit. https://doi.org/10.1016/j.sysarc.2019.101635 https://www.wikidata.org/entity/Q127371830 db/journals/jsa/jsa99.html#MittalV19

Sparsh Mittal A Survey of ReRAM-Based Architectures for Processing-In-Memory and Neural Networks. 75-114 2019 1 Mach. Learn. Knowl. Extr. 1 https://doi.org/10.3390/make1010005 https://www.wikidata.org/entity/Q57694347 db/journals/make/make1.html#Mittal19

Haonan Wang Mohamed Assem Ibrahim Sparsh Mittal Adwait Jog Address-stride assisted approximate load value prediction in GPUs. 184-194 2019 ICS https://doi.org/10.1145/3330345.3330362 conf/ics/2019 db/conf/ics/ics2019.html#WangIMJ19 Nandan Kumar Jha Sparsh Mittal Govardhan Mattela The Ramifications of Making Deep Neural Networks Compact. 215-220 2019 VLSID https://doi.org/10.1109/VLSID.2019.00056 conf/vlsid/2019 db/conf/vlsid/vlsid2019.html#JhaMM19

Ahmed Izzat Alsalibi Sparsh Mittal Mohammed Azmi Al-Betar Putra Bin Sumari A survey of techniques for architecting SLC/MLC/TLC hybrid Flash memory-based SSDs. 2018 30 Concurr. Comput. Pract. Exp. 13 https://doi.org/10.1002/cpe.4420 https://www.wikidata.org/entity/Q57694346 db/journals/concurrency/concurrency30.html#AlsalibiMAS18

Sparsh Mittal Ahmed Izzat Alsalibi A Survey of Techniques for Improving Security of Non-volatile Memories. 179-200 2018 2 J. Hardw. Syst. Secur. 2 https://doi.org/10.1007/s41635-018-0034-5 https://www.wikidata.org/entity/Q115143424 db/journals/jhss/jhss2.html#MittalA18

Sparsh Mittal S. B. Abhinaya Manish Reddy Irfan Ali A Survey of Techniques for Improving Security of GPUs. 266-285 2018 2 J. Hardw. Syst. Secur. 3 https://doi.org/10.1007/s41635-018-0039-0 https://www.wikidata.org/entity/Q57694340 db/journals/jhss/jhss2.html#MittalARA18

Sparsh Mittal Maruthi Seshidhar Inukonda A survey of techniques for improving error-resilience of DRAM. 11-40 2018 91 J. Syst. Archit. https://doi.org/10.1016/j.sysarc.2018.09.004 https://www.wikidata.org/entity/Q57694336 db/journals/jsa/jsa91.html#MittalI18

Sparsh Mittal S. B. Abhinaya Manish Reddy Irfan Ali A Survey of Techniques for Improving Security of GPUs. 2018 abs/1804.00114 CoRR http://arxiv.org/abs/1804.00114 db/journals/corr/corr1804.html#abs-1804-00114

Sparsh Mittal A Survey of Techniques for Dynamic Branch Prediction. 2018 abs/1804.00261 CoRR http://arxiv.org/abs/1804.00261 db/journals/corr/corr1804.html#abs-1804-00261

Guoliang Zhu Kai Lu 0001 Xiaoping Wang Yiming Zhang 0003 Pengfei Zhang 0006 Sparsh Mittal SwapX: An NVM-Based Hierarchical Swapping Framework. 16383-16392 2017 5 IEEE Access https://doi.org/10.1109/ACCESS.2017.2737634 db/journals/access/access5.html#ZhuLWZZM17

Sparsh Mittal Jeffrey S. Vetter Lei Jiang 0001 Addressing Read-Disturbance Issue in STT-RAM by Data Compression and Selective Duplication. 94-98 2017 16 IEEE Comput. Archit. Lett. 2 https://doi.org/10.1109/LCA.2016.2645207 http://doi.ieeecomputersociety.org/10.1109/LCA.2016.2645207 https://www.wikidata.org/entity/Q57694350 db/journals/cal/cal16.html#MittalVJ17

Rujia Wang Sparsh Mittal Youtao Zhang Jun Yang 0002 Decongest: Accelerating Super-Dense PCM Under Write Disturbance by Hot Page Remapping. 107-110 2017 16 IEEE Comput. Archit. Lett. 2 https://doi.org/10.1109/LCA.2017.2675883 http://doi.ieeecomputersociety.org/10.1109/LCA.2017.2675883 https://www.wikidata.org/entity/Q57694357 db/journals/cal/cal16.html#WangMZY17

Sparsh Mittal A Survey of Soft-Error Mitigation Techniques for Non-Volatile Memories. 8 2017 6 Comput. 1 https://doi.org/10.3390/computers6010008 https://www.wikidata.org/entity/Q57694354 db/journals/computers/computers6.html#Mittal17

Sparsh Mittal A survey of techniques for designing and managing CPU register file. 2017 29 Concurr. Comput. Pract. Exp. 4 https://doi.org/10.1002/cpe.3906 https://www.wikidata.org/entity/Q56287775 db/journals/concurrency/concurrency29.html#Mittal17

Sparsh Mittal A survey of techniques for architecting TLBs. 2017 29 Concurr. Comput. Pract. Exp. 10 https://doi.org/10.1002/cpe.4061 https://www.wikidata.org/entity/Q57694352 db/journals/concurrency/concurrency29.html#Mittal17a

Sparsh Mittal A survey of value prediction techniques for leveraging value locality. 2017 29 Concurr. Comput. Pract. Exp. 21 https://doi.org/10.1002/cpe.4250 https://www.wikidata.org/entity/Q57694348 db/journals/concurrency/concurrency29.html#Mittal17b

Sparsh Mittal A Survey of Techniques for Cache Partitioning in Multicore Processors. 27:1-27:39 2017 50 ACM Comput. Surv. 2 https://doi.org/10.1145/3062394 db/journals/csur/csur50.html#Mittal17

Sparsh Mittal A Survey of Techniques for Architecting and Managing GPU Register File. 16-28 2017 28 IEEE Trans. Parallel Distributed Syst. 1 https://doi.org/10.1109/TPDS.2016.2546249 http://doi.ieeecomputersociety.org/10.1109/TPDS.2016.2546249 https://www.wikidata.org/entity/Q56740008 db/journals/tpds/tpds28.html#Mittal17

Lei Jiang 0001 Sparsh Mittal Wujie Wen Building a Fast and Power Efficient Inductive Charge Pump System for 3D Stacked Phase Change Memories. 275-280 2017 ACM Great Lakes Symposium on VLSI https://doi.org/10.1145/3060403.3060412 conf/glvlsi/2017 db/conf/glvlsi/glvlsi2017.html#JiangMW17 Sparsh Mittal Rajendra Bishnoi Fabian Oboril Haonan Wang Mehdi Baradaran Tahoori Adwait Jog Jeffrey S. Vetter Architecting SOT-RAM Based GPU Register File. 38-44 2017 ISVLSI https://doi.org/10.1109/ISVLSI.2017.17 https://doi.ieeecomputersociety.org/10.1109/ISVLSI.2017.17 conf/isvlsi/2017 db/conf/isvlsi/isvlsi2017.html#MittalBOWTJV17 Sparsh Mittal Haonan Wang Adwait Jog Jeffrey S. Vetter Design and Analysis of Soft-Error Resilience Mechanisms for GPU Register File. 409-414 2017 VLSID https://doi.org/10.1109/VLSID.2017.14 https://doi.ieeecomputersociety.org/10.1109/VLSID.2017.14 conf/vlsid/2017 db/conf/vlsid/vlsid2017.html#MittalWJV17

Sparsh Mittal Mitigating Read-disturbance Errors in STT-RAM Caches by Using Data Compression. 2017 abs/1711.06790 CoRR http://arxiv.org/abs/1711.06790 db/journals/corr/corr1711.html#abs-1711-06790

Sparsh Mittal A Survey of Techniques for Architecting and Managing Asymmetric Multicore Processors. 45:1-45:38 2016 48 ACM Comput. Surv. 3 https://doi.org/10.1145/2856125 https://www.wikidata.org/entity/Q57311746 db/journals/csur/csur48.html#Mittal16

Sparsh Mittal A Survey of Architectural Techniques for Managing Process Variation. 54:1-54:29 2016 48 ACM Comput. Surv. 4 https://doi.org/10.1145/2871167 db/journals/csur/csur48.html#Mittal16a

Sparsh Mittal A Survey of Techniques for Approximate Computing. 62:1-62:33 2016 48 ACM Comput. Surv. 4 https://doi.org/10.1145/2893356 https://www.wikidata.org/entity/Q56227626 db/journals/csur/csur48.html#Mittal16b

Sparsh Mittal A Survey of Recent Prefetching Techniques for Processor Caches. 35:1-35:35 2016 49 ACM Comput. Surv. 2 https://doi.org/10.1145/2907071 https://www.wikidata.org/entity/Q56565127 db/journals/csur/csur49.html#Mittal16c

Sparsh Mittal A survey of power management techniques for phase change memory. 424-444 2016 8 Int. J. Comput. Aided Eng. Technol. 4 https://doi.org/10.1504/IJCAET.2016.10000092 db/journals/ijcaet/ijcaet8.html#Mittal16

Sparsh Mittal Jeffrey S. Vetter Reliability Tradeoffs in Design of Volatile and Nonvolatile Caches. 1650139:1-1650139:14 2016 25 J. Circuits Syst. Comput. 11 https://doi.org/10.1142/S0218126616501395 https://www.wikidata.org/entity/Q57694358 db/journals/jcsc/jcsc25.html#MittalV16

Sparsh Mittal A Survey of Architectural Techniques for Near-Threshold Computing. 46:1-46:26 2016 12 ACM J. Emerg. Technol. Comput. Syst. 4 https://doi.org/10.1145/2821510 https://www.wikidata.org/entity/Q57694368 db/journals/jetc/jetc12.html#Mittal16

Sparsh Mittal A Survey of Techniques for Architecting Processor Components Using Domain-Wall Memory. 29:1-29:25 2016 13 ACM J. Emerg. Technol. Comput. Syst. 2 https://doi.org/10.1145/2994550 https://www.wikidata.org/entity/Q64356933 db/journals/jetc/jetc13.html#Mittal16a

Sparsh Mittal A Survey of Techniques for Cache Locking. 49:1-49:24 2016 21 ACM Trans. Design Autom. Electr. Syst. 3 https://doi.org/10.1145/2858792 db/journals/todaes/todaes21.html#Mittal16

Sparsh Mittal Jeffrey S. Vetter A Survey of Techniques for Modeling and Improving Reliability of Computing Systems. 1226-1238 2016 27 IEEE Trans. Parallel Distributed Syst. 4 https://doi.org/10.1109/TPDS.2015.2426179 http://doi.ieeecomputersociety.org/10.1109/TPDS.2015.2426179 https://www.wikidata.org/entity/Q29544924 db/journals/tpds/tpds27.html#MittalV16

Sparsh Mittal Jeffrey S. Vetter A Survey Of Architectural Approaches for Data Compression in Cache and Main Memory Systems. 1524-1536 2016 27 IEEE Trans. Parallel Distributed Syst. 5 https://doi.org/10.1109/TPDS.2015.2435788 http://doi.ieeecomputersociety.org/10.1109/TPDS.2015.2435788 https://www.wikidata.org/entity/Q57694360 db/journals/tpds/tpds27.html#MittalV16a

Sparsh Mittal Jeffrey S. Vetter A Survey of Software Techniques for Using Non-Volatile Memories for Storage and Main Memory Systems. 1537-1550 2016 27 IEEE Trans. Parallel Distributed Syst. 5 https://doi.org/10.1109/TPDS.2015.2442980 http://doi.ieeecomputersociety.org/10.1109/TPDS.2015.2442980 https://www.wikidata.org/entity/Q53995499 db/journals/tpds/tpds27.html#MittalV16b

Sparsh Mittal Jeffrey S. Vetter A Survey Of Techniques for Architecting DRAM Caches. 1852-1863 2016 27 IEEE Trans. Parallel Distributed Syst. 6 https://doi.org/10.1109/TPDS.2015.2461155 http://doi.ieeecomputersociety.org/10.1109/TPDS.2015.2461155 https://www.wikidata.org/entity/Q57694371 db/journals/tpds/tpds27.html#MittalV16c

Sparsh Mittal Jeffrey S. Vetter EqualWrites: Reducing Intra-Set Write Variations for Enhancing Lifetime of Non-Volatile Caches. 103-114 2016 24 IEEE Trans. Very Large Scale Integr. Syst. 1 https://doi.org/10.1109/TVLSI.2015.2389113 db/journals/tvlsi/tvlsi24.html#MittalV16

Sparsh Mittal Jeffrey S. Vetter Reducing Soft-error Vulnerability of Caches using Data Compression. 197-202 2016 ACM Great Lakes Symposium on VLSI https://doi.org/10.1145/2902961.2902977 https://www.wikidata.org/entity/Q130910853 conf/glvlsi/2016 db/conf/glvlsi/glvlsi2016.html#MittalV16 Panruo Wu Dong Li 0001 Zizhong Chen Jeffrey S. Vetter Sparsh Mittal Algorithm-Directed Data Placement in Explicitly Managed Non-Volatile Memory. 141-152 2016 HPDC https://doi.org/10.1145/2907294.2907321 conf/hpdc/2016 db/conf/hpdc/hpdc2016.html#WuLCVM16

Sparsh Mittal Jeffrey S. Vetter AYUSH: A Technique for Extending Lifetime of SRAM-NVM Hybrid Caches. 115-118 2015 14 IEEE Comput. Archit. Lett. 2 https://doi.org/10.1109/LCA.2014.2355193 http://doi.ieeecomputersociety.org/10.1109/LCA.2014.2355193 https://www.wikidata.org/entity/Q57694370 db/journals/cal/cal14.html#MittalV15

Jeffrey S. Vetter Sparsh Mittal Opportunities for Nonvolatile Memory Systems in Extreme-Scale High-Performance Computing. 73-82 2015 17 Comput. Sci. Eng. 2 https://doi.org/10.1109/MCSE.2015.4 http://doi.ieeecomputersociety.org/10.1109/MCSE.2015.4 https://www.wikidata.org/entity/Q113312769 db/journals/cse/cse17.html#VetterM15

Sparsh Mittal Jeffrey S. Vetter A Survey of CPU-GPU Heterogeneous Computing Techniques. 69:1-69:35 2015 47 ACM Comput. Surv. 4 https://doi.org/10.1145/2788396 https://www.wikidata.org/entity/Q56484348 db/journals/csur/csur47.html#MittalV15

Sparsh Mittal Jeffrey S. Vetter Dong Li 0001 A Survey Of Architectural Approaches for Managing Embedded DRAM and Non-Volatile On-Chip Caches. 1524-1537 2015 26 IEEE Trans. Parallel Distributed Syst. 6 https://doi.org/10.1109/TPDS.2014.2324563 http://doi.ieeecomputersociety.org/10.1109/TPDS.2014.2324563 db/journals/tpds/tpds26.html#MittalVL15

Matt Poremba Sparsh Mittal Dong Li 0001 Jeffrey S. Vetter Yuan Xie 0001 DESTINY: a tool for modeling emerging 3D NVM and eDRAM caches. 1543-1546 2015 DATE http://dl.acm.org/citation.cfm?id=2757168 https://ieeexplore.ieee.org/document/7092634/ conf/date/2015 db/conf/date/date2015.html#PorembaMLVX15 Sparsh Mittal Jeffrey S. Vetter AYUSH: Extending Lifetime of SRAM-NVM Way-Based Hybrid Caches Using Wear-Leveling. 112-121 2015 MASCOTS https://doi.org/10.1109/MASCOTS.2015.29 https://doi.ieeecomputersociety.org/10.1109/MASCOTS.2015.29 conf/mascots/2015 db/conf/mascots/mascots2015.html#MittalV15

Sparsh Mittal Jeffrey S. Vetter A Survey of Methods for Analyzing and Improving GPU Energy Efficiency. 19:1-19:23 2014 47 ACM Comput. Surv. 2 https://doi.org/10.1145/2636342 https://www.wikidata.org/entity/Q56168420 db/journals/csur/csur47.html#MittalV14

Sparsh Mittal A survey of techniques for improving energy efficiency in embedded computing systems. 440-459 2014 6 Int. J. Comput. Aided Eng. Technol. 4 https://doi.org/10.1504/IJCAET.2014.065419 https://www.wikidata.org/entity/Q56168421 db/journals/ijcaet/ijcaet6.html#Mittal14

Sparsh Mittal A study of successive over-relaxation method parallelisation over modern HPC languages. 292-298 2014 7 Int. J. High Perform. Comput. Netw. 4 https://doi.org/10.1504/IJHPCN.2014.062731 db/journals/ijhpcn/ijhpcn7.html#Mittal14

Sparsh Mittal A Survey of Techniques for Managing and Leveraging Caches in GPUs. 2014 23 J. Circuits Syst. Comput. 8 https://doi.org/10.1142/S0218126614300025 db/journals/jcsc/jcsc23.html#Mittal14

Sparsh Mittal Zhao Zhang 0010 Encache: a Dynamic Profiling-Based Reconfiguration Technique for Improving Cache Energy Efficiency. 2014 23 J. Circuits Syst. Comput. 10 https://doi.org/10.1142/S0218126614501473 db/journals/jcsc/jcsc23.html#MittalZ14

Sparsh Mittal A survey of architectural techniques for improving cache power efficiency. 33-43 2014 4 Sustain. Comput. Informatics Syst. 1 https://doi.org/10.1016/j.suscom.2013.11.001 db/journals/suscom/suscom4.html#Mittal14

Sparsh Mittal Yanan Cao 0002 Zhao Zhang 0010 MASTER: A Multicore Cache Energy-Saving Technique Using Dynamic Cache Reconfiguration. 1653-1665 2014 22 IEEE Trans. Very Large Scale Integr. Syst. 8 https://doi.org/10.1109/TVLSI.2013.2278289 db/journals/tvlsi/tvlsi22.html#MittalCZ14

Sparsh Mittal Jeffrey S. Vetter Dong Li 0001 WriteSmoothing: improving lifetime of non-volatile caches using intra-set wear-leveling. 139-144 2014 ACM Great Lakes Symposium on VLSI https://doi.org/10.1145/2591513.2591525 conf/glvlsi/2014 db/conf/glvlsi/glvlsi2014.html#MittalVL14 Sparsh Mittal Jeffrey S. Vetter Dong Li 0001 Improving energy efficiency of embedded DRAM caches for high-end computing systems. 99-110 2014 HPDC https://doi.org/10.1145/2600212.2600216 conf/hpdc/2014 db/conf/hpdc/hpdc2014.html#MittalVL14 Sparsh Mittal Jeffrey S. Vetter Dong Li 0001 LastingNVCache: A Technique for Improving the Lifetime of Non-volatile Caches. 534-540 2014 ISVLSI https://doi.org/10.1109/ISVLSI.2014.69 https://doi.ieeecomputersociety.org/10.1109/ISVLSI.2014.69 conf/isvlsi/2014 db/conf/isvlsi/isvlsi2014.html#MittalVL14 Sparsh Mittal Jeffrey S. Vetter EqualChance: Addressing Intra-set Write Variation to Increase Lifetime of Non-volatile Caches. 2014 INFLOW https://www.usenix.org/conference/inflow14/workshop-program/presentation/mittal conf/osdi/2014inflow db/conf/osdi/inflow2014.html#MittalV14 Li Yu 0006 Dong Li 0001 Sparsh Mittal Jeffrey S. Vetter Quantitatively Modeling Application Resilience with the Data Vulnerability Factor. 695-706 2014 SC https://doi.org/10.1109/SC.2014.62 https://doi.ieeecomputersociety.org/10.1109/SC.2014.62 https://www.wikidata.org/entity/Q130914807 conf/sc/2014 db/conf/sc/sc2014.html#YuLMV14

Sparsh Mittal A Study of Successive Over-relaxation Method Parallelization Over Modern HPC Languages. 2014 abs/1401.0763 CoRR http://arxiv.org/abs/1401.0763 db/journals/corr/corr1401.html#Mittal14

Sparsh Mittal A Survey of Techniques For Improving Energy Efficiency in Embedded Computing Systems. 2014 abs/1401.0765 CoRR http://arxiv.org/abs/1401.0765 db/journals/corr/corr1401.html#Mittal14a

Sparsh Mittal Jeffrey S. Vetter A Survey of Methods For Analyzing and Improving GPU Energy Efficiency. 2014 abs/1404.4629 CoRR http://arxiv.org/abs/1404.4629 db/journals/corr/corr1404.html#MittalV14

Sparsh Mittal Power Management Techniques for Data Centers: A Survey. 2014 abs/1404.6681 CoRR http://arxiv.org/abs/1404.6681 db/journals/corr/corr1404.html#Mittal14b

Sparsh Mittal Saket Gupta Ankush Mittal BioinQA: metadata-based multi-document QA system for addressing the issues in biomedical domain. 37-56 2013 5 Int. J. Data Min. Model. Manag. 1 https://doi.org/10.1504/IJDMMM.2013.051921 https://www.wikidata.org/entity/Q122951033 db/journals/ijdmmm/ijdmmm5.html#MittalGM13

Sparsh Mittal Zhao Zhang 0010 Jeffrey S. Vetter FlexiWay: A cache energy saving technique using fine-grained cache reconfiguration. 100-107 2013 ICCD https://doi.org/10.1109/ICCD.2013.6657031 https://doi.ieeecomputersociety.org/10.1109/ICCD.2013.6657031 conf/iccd/2013 db/conf/iccd/iccd2013.html#MittalZV13 Sparsh Mittal Zhao Zhang 0010 Yanan Cao 0002 CASHIER: A Cache Energy Saving Technique for QoS Systems. 43-48 2013 VLSI Design https://doi.org/10.1109/VLSID.2013.160 https://doi.ieeecomputersociety.org/10.1109/VLSID.2013.160 conf/vlsid/2013 db/conf/vlsid/vlsid2013.html#MittalZC13

Sparsh Mittal Energy Saving Techniques for Phase Change Memory (PCM). 2013 CoRR http://arxiv.org/abs/1309.3785 abs/1309.3785 db/journals/corr/corr1309.html#Mittal13

Sparsh Mittal A Cache-Coloring Based Technique for Saving Leakage Energy In Multitasking Systems. 2013 CoRR http://arxiv.org/abs/1309.5647 abs/1309.5647 db/journals/corr/corr1309.html#Mittal13a

Sparsh Mittal A Cache Reconfiguration Approach for Saving Leakage and Refresh Energy in Embedded DRAM Caches. 2013 CoRR http://arxiv.org/abs/1309.7082 abs/1309.7082 db/journals/corr/corr1309.html#Mittal13b

Sparsh Mittal Dynamic cache reconfiguration based techniques for improving cache energy efficiency. 2013 CoRR http://arxiv.org/abs/1310.4231 abs/1310.4231 db/journals/corr/corr1310.html#Mittal13c

Sparsh Mittal Using Cache-coloring to Mitigate Inter-set Write Variation in Non-volatile Caches. 2013 CoRR http://arxiv.org/abs/1310.8494 abs/1310.8494 db/journals/corr/corr1310.html#Mittal13d

Sparsh Mittal A Technique for Efficiently Managing SRAM-NVM Hybrid Cache. 2013 CoRR http://arxiv.org/abs/1311.0170 abs/1311.0170 db/journals/corr/corr1311.html#Mittal13f

Sparsh Mittal A survey of architectural techniques for DRAM power management. 110-119 2012 4 Int. J. High Perform. Syst. Archit. 2 https://doi.org/10.1504/IJHPSA.2012.050990 db/journals/ijhpsa/ijhpsa4.html#Mittal12

Sparsh Mittal Zhao Zhang 0010 Palette: A Cache Leakage Energy Saving Technique for Green Computing. 46-61 2012 High Performance Computing Workshop (2) https://doi.org/10.3233/978-1-61499-324-7-46 conf/hpc/2012 db/conf/hpc/hpc2012.html#MittalZ12

Sparsh Mittal Ankush Mittal Versatile question answering systems: seeing in synthesis. 119-142 2011 5 Int. J. Intell. Inf. Database Syst. 2 https://doi.org/10.1504/IJIIDS.2011.038968 db/journals/ijiids/ijiids5.html#MittalM11

S. B. Abhinaya Divya Aggarwal Manav Aggarwal Imtiaz Ahmed Mohammed Azmi Al-Betar Irfan Ali Ahmed Izzat Alsalibi Ulas Bagci Tianshu Bao Ansh Bharadwaj Kshitij Bhardwaj Shivang Bhargav Vanshika V. Bhargava Vidhi Bhatt Rajendra Bishnoi Yanan Cao 0002 Lin Chai Yash Chand Mahesh Chandra Urbi Chatterjee Gajanan H. Chavhan Peng Chen 0035 Zizhong Chen Krishna Teja Chitty-Venkata Bedanta Das Sudeb Dasgupta Neethi Dasu Somsubhra De Gayatri DeshmukhGayatri S. Deshmukh Inderjit S. Dhillon Dipesh Jens Domke Aleksandr Drozd Murali Emani Aabid Amin Fida Shivam Garg Aayush Gautam Balazs Gerofi Abhishek Goel Vandan Gorade Himanshi Gupta Jishu Sen Gupta Saket Gupta Muhammad Abdullah Hanif Neelofar Hassan Mohamed Assem Ibrahim Maruthi Seshidhar Inukonda Yash Jain J. Phani Jayanth Debesh Jha Nandan Kumar Jha Lei Jiang 0001 Adwait Jog Adheesh Sunil Juvekar Tanvi Kale Anurag Kamal Hemangee K. Kapoor Aaditi Kapre Atharva Rajendra Karpate Harshal Kausadikar Arvind Kaushik Brajesh Kumar Kaushik Farooq Ahmad Khanday Yash Khare Yuetsu Kodama Sai Harsha Kottapalli Bhargav Achary Dandpati Kumar Binod Kumar 0001 Chandan Kumar Mintu Kumar Vivek Kumar Shruti Kunde Neel Kanth Kundu Dinesh Kushwaha Kumud Lakara Dong Li 0001 Ismini Lourentzou Kai Lu 0001 Dhruv Makwana Ashwini Malviya Dipan Mandal Sheel Sindhu Manohar Ananya Mantravadi Satoshi Matsuoka Govardhan Mattela Venkat Mattela Nirbhay Mishra Vishesh Mishra Ankush Mittal Ashish Mittal C. Krishna Mohan Subhrajit Nag Manoj Nambiar 0001 Sarthak Narayan Kiet A. Nguyen Rohit Singh Nitwal Fabian Oboril Biswabandan Panda Divy Pandey Rhythm Patel Santanu Pattanayak Rohit Pawar Miquel Pericàs Artur Podobas Matthew PorembaMatt Poremba Tushar Prakash Sudhir Kumar Rai Poonam Rajput Mahendra Rathor Sujitha Ravichandran Shreyas Ravishankar Manish Reddy Tamma Bheemarjuna ReddyBheemarjuna Reddy Tamma Nagesh Kumar S Ratul Kishore Saha Aryabartta Sahu Tushir Sahu Rajat Saini KC Santosh Smruti R. SarangiSmruti Ranjan Sarangi Suvarthi Sarkar Vishu Saxena Chirag Sehgal Dhayan Dhananjaya Senanayake Muhammad Shafique 0001 Shresth Shankhdhar Saksham Sharma Parth Shastri Nivedita Shrivastava Aditya Kumar Singh Saurabh Singh Cheena Singhal Rekha Singhal Arun K. Somani Srishti Srivastava 0001 Sreenivas Subramoney Putra SumariPutra Bin Sumari Onkar SusladkarOnkar Kishor Susladkar Mehdi Baradaran Tahoori Praveen Tammana Jatin Tarachandani R. Sai Chandra Teja Harsh Raj Thakur Krishna Prashanth Thummanapelly Priyanshu Tyagi Samaksh Ujjawal Sumanth Umesh Shraiysh Vaishay Emil Vatai Gaurav Verma 0002 Jeffrey S. Vetter Vibhu Venkatram Vishwanath Mohamed Wahib Haonan Wang Rujia Wang Xiaoping Wang Wujie Wen Panruo Wu Yuan Xie 0001 Jun Yang 0002 Li Yu 0006 Jiaxun Zhang Lingqi Zhang 0001 Pengfei Zhang 0006 Yiming Zhang 0003 Youtao Zhang Zhao Zhang 0010 Guoliang Zhu