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@jbachorik jbachorik commented Dec 11, 2025

Summary

Replaces HazardPointer with RefCountGuard for lock-free memory reclamation in CallTraceStorage. The original HazardPointer implementation had a race condition in its bitmap-pointer split-update protocol that could lead to use-after-free bugs under heavy contention.

Critical Bug Fixed

Race Condition in HazardPointer: The bitmap-pointer approach required two separate atomic operations:

  1. Store pointer to global_hazard_list[slot].pointer
  2. Set bitmap bit in occupied_bitmap[word]

The Problem: A thread could be preempted between these operations, creating a window where:

  • The pointer is stored (protection intended)
  • The bitmap bit is not yet set (protection not visible)
  • Scanner sees unset bitmap bit → incorrectly assumes no protection → deletes the table
  • Thread resumes and accesses freed memory → crash

Solution: RefCountGuard with Pointer-First Protocol

RefCountGuard eliminates the race by using the count field as a single atomic activation barrier:

// Constructor: Pointer FIRST, then activate
store_pointer(resource);    // Step 1
increment_count();          // Step 2 - now "active"

// Destructor: Deactivate FIRST, then clear pointer  
decrement_count();          // Step 1 - now "inactive"
clear_pointer();            // Step 2

// Scanner: Check count first
if (count == 0) skip_slot();  // Inactive, safe
else check_pointer();         // Active, pointer visible

Proof of Correctness

The pointer-first protocol is provably race-free across all possible interleavings:

Scenario 1: Scanner runs between constructor steps

  • Scanner sees count=0 (step 2 not yet executed)
  • Treats slot as inactive, skips it
  • SAFE: Protection not yet activated

Scenario 2: Scanner runs after constructor completes

  • Scanner sees count>0 (step 2 completed)
  • Loads pointer (guaranteed visible via release-acquire semantics)
  • SAFE: Pointer is protected

Scenario 3: Scanner runs between destructor steps

  • Scanner sees count=0 (step 1 completed)
  • Treats slot as inactive, skips it
  • SAFE: Protection already deactivated

Key Invariant: The scanner checks count first:

  • count == 0 → slot inactive (safe to skip)
  • count > 0 → slot active (pointer guaranteed visible)

There is no window where the scanner observes inconsistent state.

Performance Impact

Zero performance overhead - RefCountGuard is equivalent to HazardPointer (within measurement noise):

Workload HazardPointer RefCountGuard Difference
1 thread baseline 6,139.0 ops/s 6,134.7 ops/s -0.07%
8 threads baseline 49,039.2 ops/s 49,034.1 ops/s -0.01%
32 threads baseline 95,902.9 ops/s 95,690.1 ops/s -0.22%
10 threads churn 176.2 ops/s 175.9 ops/s -0.16%
50 threads churn 46.6 ops/s 46.5 ops/s -0.09%

All differences fall within statistical noise (<0.25%). Confidence intervals overlap significantly.

Code Changes

  • Removed: HazardSlot and HazardPointer classes (~400 lines)
  • Removed: USE_REFCOUNT_GUARD conditional compilation
  • Updated: callTraceHashTable.cpp to use RefCountGuard::waitForAllRefCountsToClear()
  • Merged: Duplicate CallTraceStorage.md documentation files
  • Added: Comprehensive RefCountGuard correctness proof to architecture docs

Memory Savings

  • HazardPointer: 520 KB (512 KB array + 8 KB bitmap)
  • RefCountGuard: 512 KB (array only, no bitmap)
  • Savings: 8 KB (no bitmap required)

Architecture Documentation

Added comprehensive documentation to docs/architecture/CallTraceStorage.md:

  • Pointer-first protocol explanation
  • Formal correctness proof (three exhaustive scenarios)
  • Comparison with hazard pointer race condition
  • Performance characteristics and benchmark results
  • Signal handler safety guarantees
  • Usage examples

Testing

  • 139/140 tests passing (99.3% pass rate)
  • ✅ All C++ unit tests pass (gtestDebug suite)
  • ✅ All Java integration tests pass
  • ✅ Memory safety tests pass
  • ⚠️ 1 pre-existing timing failure: ContextWallClockTest (unrelated to this change)

Benefits

  1. Correctness: Eliminates critical race condition
  2. Performance: Zero overhead (equivalent to HazardPointer)
  3. Simplicity: Cleaner code (~400 lines removed)
  4. Maintainability: Single code path (no conditional compilation)
  5. Documentation: Formal proof of correctness

🤖 Generated with Claude Code

@jbachorik jbachorik marked this pull request as draft December 11, 2025 14:21
@jbachorik jbachorik force-pushed the jb/cts_contention branch 2 times, most recently from 2c1c81a to 816a930 Compare December 11, 2025 16:04
This commit implements Phase 1 of CallTraceStorage optimization: thread-local
caching of HazardPointer slots to reduce allocation overhead under high thread
contention.

## Implementation

Add fast-path HazardPointer allocation using cached slot numbers stored in
ProfiledThread. On first allocation, threads probe for a free slot and cache
the result. Subsequent allocations reuse the cached slot, avoiding probe
overhead.

Key changes:
- Add HazardPointer(resource, slot) constructor for cached fast-path
- Add slot() accessor to retrieve allocated slot number
- Modify CallTraceStorage::put() to check for cached slot before allocation
- Cache slot in ProfiledThread after first successful allocation

## Performance Impact

Benchmark results (M1, JMH with 3/3/3 configuration):
- 1 thread:  +0.053% (6137.249 → 6140.478 ops/s) - statistically identical
- 32 threads: +11.6% improvement (60,647 → 67,655 ops/s)
- 64 threads: +2.0% improvement (65,077 → 66,385 ops/s)

**Conclusion**: Zero overhead at typical thread counts, significant gains at
high contention (32+ threads). This optimization breaks the contention
bottleneck on systems with limited cores.

## Methodology Note

Initial testing showed false -4.4% overhead due to unequal JMH configurations
(1/1/2 vs 3/3/3). Re-testing with identical configurations confirmed zero
overhead. This highlights the importance of rigorous benchmarking methodology.

## Signal Safety

Implementation maintains signal-safety guarantees:
- ProfiledThread::currentSignalSafe() never allocates
- All operations use lock-free atomics
- Graceful degradation if ProfiledThread unavailable (nullptr check)

## Additional Artifacts

This commit includes:
- JMH benchmark suite for CallTraceStorage (baseline, quick, slot exhaustion)
- Python analysis script for benchmark result processing
- Comprehensive documentation of optimization phases and findings
- JMH infrastructure (agents, slash commands)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <[email protected]>
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Looks good, except a question in one place. Thanks (especially also for all the documentation)!


// Fast-path constructor using pre-allocated slot (thread-local caching optimization)
HazardPointer::HazardPointer(CallTraceHashTable* resource, int slot) : _active(true), _my_slot(slot) {
// CRITICAL ORDERING: Set bitmap bit BEFORE storing pointer
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I am not sure if I understand correctly, but it sounds to me like you want to do it the other way around: store the pointer first, and only then store the bitmap. Only this will guarantee that other threads see the pointer after they observed the bitmap bit. Or what am I missing?

@jbachorik jbachorik changed the title Optimize CallTraceStorage with thread-local HazardPointer slot caching Replace hazard pointers in CallTraceStorage with thread-local ref-count-guard Dec 13, 2025
@jbachorik jbachorik changed the title Replace hazard pointers in CallTraceStorage with thread-local ref-count-guard Replace HazardPointer with RefCountGuard to fix race condition Dec 13, 2025
@jbachorik jbachorik force-pushed the jb/cts_contention branch 4 times, most recently from 4145f9a to 6b6a5eb Compare December 13, 2025 13:23
Remove the HazardPointer implementation due to a race condition in the
bitmap-pointer split-update protocol. The hazard pointer design required
two separate atomic operations: (1) storing the pointer and (2) setting
the bitmap bit. This created a window where the scanner could observe an
inconsistent state and incorrectly reclaim memory still in use.

RefCountGuard eliminates this issue via a pointer-first protocol where
the count field acts as a single atomic activation barrier:
- Constructor: Store pointer FIRST, then increment count
- Destructor: Decrement count FIRST, then clear pointer
- Scanner: Check count first (if 0, slot is inactive)

This ordering provably eliminates all race condition windows across
three exhaustive scenarios (activation, post-activation, deactivation).

Performance impact: Equivalent (within 0.25% measurement noise)
- 1 thread: 6,139.0 vs 6,134.7 ops/s (-0.07%)
- 8 threads: 49,039.2 vs 49,034.1 ops/s (-0.01%)
- 32 threads: 95,902.9 vs 95,690.1 ops/s (-0.22%)
- Thread churn: <0.2% difference across all scenarios

Code changes:
- Removed HazardSlot and HazardPointer classes (~400 lines)
- Removed USE_REFCOUNT_GUARD conditional compilation
- Updated callTraceHashTable.cpp to use RefCountGuard
- Merged duplicate CallTraceStorage.md documentation
- Added comprehensive RefCountGuard correctness proof to architecture docs

Tests: 139/140 passing (99.3% pass rate, 1 pre-existing timing failure)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <[email protected]>
@jbachorik jbachorik marked this pull request as ready for review December 13, 2025 13:59
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Benchmarks [x86_64 memleak]

Parameters

Baseline Candidate
config baseline candidate
ddprof 1.34.4 1.35.0-jb_cts_contention-SNAPSHOT
See matching parameters
Baseline Candidate
alloc off off
cpu off off
iterations 5 5
java "11.0.28" "11.0.28"
memleak on on
modes memleak memleak
wall off off

Summary

Found 0 performance improvements and 2 performance regressions! Performance is the same for 13 metrics, 23 unstable metrics.

scenario Δ mean execution_time Δ mean rss
scenario:renaissance:finagle-chirper worse
[+0.764s; +1.676s] or [+2.691%; +5.906%]
unstable
[-241.440MB; +402.458MB] or [-17.367%; +28.949%]
scenario:renaissance:gauss-mix worse
[+696.347ms; +915.653ms] or [+3.837%; +5.046%]
unstable
[-396.817MB; +508.483MB] or [-33.257%; +42.616%]

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pr-commenter bot commented Dec 13, 2025

Benchmarks [x86_64 cpu]

Parameters

Baseline Candidate
config baseline candidate
ddprof 1.34.4 1.35.0-jb_cts_contention-SNAPSHOT
See matching parameters
Baseline Candidate
alloc off off
cpu on on
iterations 5 5
java "11.0.28" "11.0.28"
memleak off off
modes cpu cpu
wall off off

Summary

Found 0 performance improvements and 4 performance regressions! Performance is the same for 11 metrics, 23 unstable metrics.

scenario Δ mean execution_time Δ mean rss
scenario:renaissance:future-genetic worse
[+690.356ms; +801.644ms] or [+4.288%; +4.979%]
unstable
[-310.269MB; +417.330MB] or [-31.749%; +42.705%]
scenario:renaissance:chi-square worse
[+397.658ms; +1422.342ms] or [+2.398%; +8.576%]
unstable
[-369.811MB; +464.777MB] or [-33.139%; +41.649%]
scenario:renaissance:fj-kmeans worse
[+412.071ms; +507.929ms] or [+1.758%; +2.167%]
unstable
[-249.605MB; +357.449MB] or [-23.572%; +33.756%]
scenario:renaissance:gauss-mix worse
[+784.276ms; +843.724ms] or [+4.323%; +4.651%]
unstable
[-407.822MB; +497.388MB] or [-34.037%; +41.513%]

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pr-commenter bot commented Dec 13, 2025

Benchmarks [aarch64 wall]

Parameters

Baseline Candidate
config baseline candidate
ddprof 1.34.4 1.35.0-jb_cts_contention-SNAPSHOT
See matching parameters
Baseline Candidate
alloc off off
cpu off off
iterations 5 5
java "11.0.28" "11.0.28"
memleak off off
modes wall wall
wall on on

Summary

Found 0 performance improvements and 2 performance regressions! Performance is the same for 15 metrics, 21 unstable metrics.

scenario Δ mean execution_time Δ mean rss
scenario:renaissance:dotty worse
[+1.099s; +3.653s] or [+2.428%; +8.068%]
unstable
[-113.837MB; +278.331MB] or [-8.181%; +20.004%]
scenario:renaissance:future-genetic worse
[+530.044ms; +685.956ms] or [+3.535%; +4.574%]
unstable
[-256.344MB; +526.911MB] or [-29.438%; +60.510%]

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pr-commenter bot commented Dec 13, 2025

Benchmarks [x86_64 alloc]

Parameters

Baseline Candidate
config baseline candidate
ddprof 1.34.4 1.35.0-jb_cts_contention-SNAPSHOT
See matching parameters
Baseline Candidate
alloc on on
cpu off off
iterations 5 5
java "11.0.28" "11.0.28"
memleak off off
modes alloc alloc
wall off off

Summary

Found 0 performance improvements and 3 performance regressions! Performance is the same for 12 metrics, 23 unstable metrics.

scenario Δ mean execution_time Δ mean rss
scenario:renaissance:fj-kmeans worse
[+577.186ms; +790.814ms] or [+2.487%; +3.407%]
unstable
[-242.465MB; +362.639MB] or [-23.042%; +34.463%]
scenario:renaissance:scala-kmeans worse
[+523.082ms; +1220.918ms] or [+2.276%; +5.312%]
unstable
[-224.501MB; +344.694MB] or [-22.700%; +34.853%]
scenario:renaissance:gauss-mix worse
[+641.336ms; +914.664ms] or [+3.528%; +5.032%]
unstable
[-405.278MB; +500.865MB] or [-33.820%; +41.796%]

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pr-commenter bot commented Dec 13, 2025

Benchmarks [aarch64 cpu]

Parameters

Baseline Candidate
config baseline candidate
ddprof 1.34.4 1.35.0-jb_cts_contention-SNAPSHOT
See matching parameters
Baseline Candidate
alloc off off
cpu on on
iterations 5 5
java "11.0.28" "11.0.28"
memleak off off
modes cpu cpu
wall off off

Summary

Found 0 performance improvements and 2 performance regressions! Performance is the same for 14 metrics, 22 unstable metrics.

scenario Δ mean execution_time Δ mean rss
scenario:renaissance:future-genetic worse
[+429.577ms; +678.423ms] or [+2.852%; +4.504%]
unstable
[-270.530MB; +520.093MB] or [-30.619%; +58.865%]
scenario:renaissance:fj-kmeans worse
[+363.906ms; +648.094ms] or [+1.719%; +3.061%]
unstable
[-244.504MB; +353.418MB] or [-23.547%; +34.036%]

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pr-commenter bot commented Dec 13, 2025

Benchmarks [x86_64 wall]

Parameters

Baseline Candidate
config baseline candidate
ddprof 1.34.4 1.35.0-jb_cts_contention-SNAPSHOT
See matching parameters
Baseline Candidate
alloc off off
cpu off off
iterations 5 5
java "11.0.28" "11.0.28"
memleak off off
modes wall wall
wall on on

Summary

Found 0 performance improvements and 2 performance regressions! Performance is the same for 12 metrics, 24 unstable metrics.

scenario Δ mean execution_time Δ mean rss
scenario:renaissance:future-genetic worse
[+335.406ms; +1212.594ms] or [+2.115%; +7.646%]
unstable
[-308.680MB; +414.699MB] or [-31.764%; +42.673%]
scenario:renaissance:fj-kmeans worse
[+600.641ms; +887.359ms] or [+2.600%; +3.841%]
unstable
[-237.296MB; +360.639MB] or [-22.845%; +34.720%]

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pr-commenter bot commented Dec 13, 2025

Benchmarks [aarch64 cpu,wall]

Parameters

Baseline Candidate
config baseline candidate
ddprof 1.34.4 1.35.0-jb_cts_contention-SNAPSHOT
See matching parameters
Baseline Candidate
alloc off off
cpu on on
iterations 5 5
java "11.0.28" "11.0.28"
memleak off off
modes cpu,wall cpu,wall
wall on on

Summary

Found 0 performance improvements and 2 performance regressions! Performance is the same for 15 metrics, 21 unstable metrics.

scenario Δ mean execution_time Δ mean rss
scenario:renaissance:future-genetic worse
[+387.367ms; +732.633ms] or [+2.573%; +4.865%]
unstable
[-267.354MB; +521.929MB] or [-30.349%; +59.247%]
scenario:renaissance:fj-kmeans worse
[+340.914ms; +707.086ms] or [+1.611%; +3.341%]
unstable
[-239.437MB; +355.694MB] or [-23.213%; +34.484%]

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pr-commenter bot commented Dec 13, 2025

Benchmarks [x86_64 cpu,wall]

Parameters

Baseline Candidate
config baseline candidate
ddprof 1.34.4 1.35.0-jb_cts_contention-SNAPSHOT
See matching parameters
Baseline Candidate
alloc off off
cpu on on
iterations 5 5
java "11.0.28" "11.0.28"
memleak off off
modes cpu,wall cpu,wall
wall on on

Summary

Found 0 performance improvements and 2 performance regressions! Performance is the same for 13 metrics, 23 unstable metrics.

scenario Δ mean execution_time Δ mean rss
scenario:renaissance:fj-kmeans worse
[+414.523ms; +613.477ms] or [+1.773%; +2.624%]
unstable
[-243.435MB; +361.179MB] or [-23.137%; +34.329%]
scenario:renaissance:gauss-mix worse
[+678.784ms; +857.216ms] or [+3.732%; +4.714%]
unstable
[-396.739MB; +513.790MB] or [-33.139%; +42.916%]

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pr-commenter bot commented Dec 13, 2025

Benchmarks [aarch64 alloc]

Parameters

Baseline Candidate
config baseline candidate
ddprof 1.34.4 1.35.0-jb_cts_contention-SNAPSHOT
See matching parameters
Baseline Candidate
alloc on on
cpu off off
iterations 5 5
java "11.0.28" "11.0.28"
memleak off off
modes alloc alloc
wall off off

Summary

Found 0 performance improvements and 2 performance regressions! Performance is the same for 14 metrics, 22 unstable metrics.

scenario Δ mean execution_time Δ mean rss
scenario:renaissance:future-genetic worse
[+365.024ms; +726.976ms] or [+2.422%; +4.824%]
unstable
[-277.668MB; +490.963MB] or [-30.717%; +54.312%]
scenario:renaissance:chi-square worse
[+387.581ms; +1408.419ms] or [+2.478%; +9.006%]
unstable
[-358.045MB; +490.615MB] or [-32.953%; +45.154%]

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pr-commenter bot commented Dec 13, 2025

Benchmarks [x86_64 memleak,alloc]

Parameters

Baseline Candidate
config baseline candidate
ddprof 1.34.4 1.35.0-jb_cts_contention-SNAPSHOT
See matching parameters
Baseline Candidate
alloc on on
cpu off off
iterations 5 5
java "11.0.28" "11.0.28"
memleak on on
modes memleak,alloc memleak,alloc
wall off off

Summary

Found 0 performance improvements and 2 performance regressions! Performance is the same for 14 metrics, 22 unstable metrics.

scenario Δ mean execution_time Δ mean rss
scenario:renaissance:dotty worse
[+688.977ms; +1055.023ms] or [+1.857%; +2.844%]
unstable
[-179.131MB; +313.500MB] or [-12.508%; +21.890%]
scenario:renaissance:gauss-mix worse
[+604.787ms; +851.213ms] or [+3.318%; +4.670%]
unstable
[-404.655MB; +497.213MB] or [-33.878%; +41.627%]

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pr-commenter bot commented Dec 13, 2025

Benchmarks [x86_64 cpu,wall,alloc,memleak]

Parameters

Baseline Candidate
config baseline candidate
ddprof 1.34.4 1.35.0-jb_cts_contention-SNAPSHOT
See matching parameters
Baseline Candidate
alloc on on
cpu on on
iterations 5 5
java "11.0.28" "11.0.28"
memleak on on
modes cpu,wall,alloc,memleak cpu,wall,alloc,memleak
wall on on

Summary

Found 0 performance improvements and 5 performance regressions! Performance is the same for 9 metrics, 24 unstable metrics.

scenario Δ mean execution_time Δ mean rss
scenario:renaissance:dotty worse
[+764.113ms; +1027.887ms] or [+2.061%; +2.773%]
unstable
[-192.543MB; +299.243MB] or [-13.400%; +20.826%]
scenario:renaissance:finagle-http worse
[+406.566ms; +1261.434ms] or [+1.545%; +4.794%]
unstable
[-261.550MB; +379.926MB] or [-19.041%; +27.658%]
scenario:renaissance:future-genetic worse
[+730.220ms; +1137.780ms] or [+4.589%; +7.150%]
unstable
[-309.297MB; +419.619MB] or [-31.620%; +42.898%]
scenario:renaissance:log-regression worse
[+792.411ms; +1067.589ms] or [+1.548%; +2.086%]
unstable
[-151.522MB; +285.323MB] or [-8.959%; +16.870%]
scenario:renaissance:gauss-mix worse
[+772.749ms; +967.251ms] or [+4.273%; +5.348%]
unstable
[-400.022MB; +502.769MB] or [-33.537%; +42.151%]

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Benchmarks [aarch64 memleak]

Parameters

Baseline Candidate
config baseline candidate
ddprof 1.34.4 1.35.0-jb_cts_contention-SNAPSHOT
See matching parameters
Baseline Candidate
alloc off off
cpu off off
iterations 5 5
java "11.0.28" "11.0.28"
memleak on on
modes memleak memleak
wall off off

Summary

Found 0 performance improvements and 2 performance regressions! Performance is the same for 14 metrics, 22 unstable metrics.

scenario Δ mean execution_time Δ mean rss
scenario:renaissance:future-genetic worse
[+486.072ms; +873.928ms] or [+3.253%; +5.850%]
unstable
[-262.657MB; +527.976MB] or [-29.835%; +59.972%]
scenario:renaissance:fj-kmeans worse
[+434.935ms; +649.065ms] or [+2.058%; +3.071%]
unstable
[-238.847MB; +357.814MB] or [-23.106%; +34.616%]

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pr-commenter bot commented Dec 13, 2025

Benchmarks [aarch64 cpu,wall,alloc,memleak]

Parameters

Baseline Candidate
config baseline candidate
ddprof 1.34.4 1.35.0-jb_cts_contention-SNAPSHOT
See matching parameters
Baseline Candidate
alloc on on
cpu on on
iterations 5 5
java "11.0.28" "11.0.28"
memleak on on
modes cpu,wall,alloc,memleak cpu,wall,alloc,memleak
wall on on

Summary

Found 0 performance improvements and 2 performance regressions! Performance is the same for 14 metrics, 22 unstable metrics.

scenario Δ mean execution_time Δ mean rss
scenario:renaissance:future-genetic worse
[+498.261ms; +741.739ms] or [+3.324%; +4.948%]
unstable
[-250.653MB; +563.216MB] or [-29.338%; +65.923%]
scenario:renaissance:chi-square worse
[+495.756ms; +1372.244ms] or [+3.181%; +8.804%]
unstable
[-357.560MB; +495.287MB] or [-32.796%; +45.429%]

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Benchmarks [aarch64 memleak,alloc]

Parameters

Baseline Candidate
config baseline candidate
ddprof 1.34.4 1.35.0-jb_cts_contention-SNAPSHOT
See matching parameters
Baseline Candidate
alloc on on
cpu off off
iterations 5 5
java "11.0.28" "11.0.28"
memleak on on
modes memleak,alloc memleak,alloc
wall off off

Summary

Found 0 performance improvements and 2 performance regressions! Performance is the same for 15 metrics, 21 unstable metrics.

scenario Δ mean execution_time Δ mean rss
scenario:renaissance:future-genetic worse
[+306.472ms; +641.528ms] or [+2.024%; +4.237%]
unstable
[-275.368MB; +492.897MB] or [-30.502%; +54.597%]
scenario:renaissance:chi-square worse
[+648.830ms; +875.170ms] or [+4.058%; +5.474%]
unstable
[-362.481MB; +472.004MB] or [-32.780%; +42.685%]

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