diff --git a/README.md b/README.md
index f20049ea..831c65c3 100644
--- a/README.md
+++ b/README.md
@@ -1,5 +1,4 @@
-# Solo
+# Website for python compilers workshop
-[Solo](http://chibicode.github.io/solo) is a Jekyll theme that supports **single-page websites** only, but supports them well. Yes, it's responsive.
-
-### [Demo & Documentation →](http://chibicode.github.io/solo)
+Built using Jekyll + GH pages + the
+[Solo](https://chibicode.github.io/solo/) theme (somewhat hacked).
\ No newline at end of file
diff --git a/_config.yml b/_config.yml
index 0954dadc..57a33606 100644
--- a/_config.yml
+++ b/_config.yml
@@ -1,7 +1,8 @@
# Site settings
-title: Solo, a Jekyll Theme
-tag_text: Solo
-description: Solo is a Jekyll theme that supports single-page websites only, but supports them well. Yes, it’s responsive.
+title: Python Compilers Workshop (July 11-12, 2016)
+description: > # this means to ignore newlines until "baseurl:"
+ A workshop for folks working on Python compilers. July 11-12, 2016,
+ co-located with SciPy 2016 in Austin, Texas.
# Build settings
markdown: kramdown
diff --git a/_layouts/default.html b/_layouts/default.html
index 6aeddb38..39a37cc8 100644
--- a/_layouts/default.html
+++ b/_layouts/default.html
@@ -11,7 +11,6 @@
{% include scripts.html %}
diff --git a/assets/intel-logo.png b/assets/intel-logo.png
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Binary files /dev/null and b/assets/intel-logo.png differ
diff --git a/index.md b/index.md
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+++ b/index.md
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layout: default
---
-[Solo](http://chibicode.github.io/solo) is a Jekyll theme that supports **single-page websites** only, but supports them well. Yes, it's responsive.
+# Python Compilers Workshop
-
+## Quick links for attendees
+
+We'll start at **9:30 am** (Austin time, 14:30 UTC) on **July 11**
+in **room 104** of the
+[AT&T Center at UT Austin](http://www.meetattexas.com/).
+
+* [Google Hangout for remote attendees](https://hangouts.google.com/call/dqqch3egprho5amsyechogoq2ae)
+ (**NOTE** this is a different link than yesterday -- also PLEASE MUTE YOUR MICROPHONE if you are local or not talking)
-Looking for a more standard Jekyll theme? Try out [Shiori](http://github.com/ellekasai/shiori) theme, which has Bootstrap integration.
+ * [Fallback hangout if the previous hangout is full](https://hangouts.google.com/hangouts/_/berkeley.edu/compilersworkshop2)
+ -- this is slightly broken for inscrutable Google-related reasons --
+ if trying to join please let us know in gitter and then be patient
+
+* [Shared notes](https://docs.google.com/document/d/1jGksgI96LdYQODa9Fca7EttFEGQfNODphVmbCX0DD1k/edit?usp=sharing) (world writeable)
+
+* [Shared folder](https://drive.google.com/open?id=0B7lxgmXY3xBLM2JFa0dlaXc3bXM)
+ (feel free to add new shared documents here -- the folder is world
+ writeable, but first you need a Google account, then click "open in drive")
+
+* Text chat: [](https://gitter.im/python-compilers-workshop/chat)
+
+* Mailing list (announcements, ongoing discussions): [the python-compilers mailing list at python.org](https://mail.python.org/mailman/listinfo/python-compilers)
+
+## Basic facts
+
+*What:* A workshop to bring together folks working on different
+approaches to **high-performance compilation for Python**, to share
+experience, discuss common interests, and start sketching out a
+roadmap for how the broader Python ecosystem can adapt to take maximal
+advantage of these new implementations.
+
+*When and where:* Starting at **9:30 am**, **July 11-12, 2016** in
+**Austin, Texas**, co-located with the
+[SciPy 2016](http://scipy2016.scipy.org) conference. (This is just
+before the main conference, and overlaps with the SciPy tutorial
+days.)
+
+*Venue:* [AT&T Center](http://www.meetattexas.com/), room 104
+
+*Who:* Open to the public; no registration fee.
-## Solo is useful if...
+*Organized by:* [Nathaniel Smith](https://vorpus.org)
+([njs@pobox.com](mailto:njs@pobox.com))
-* You want to create an "about me" page from a single markdown file and host it under a custom domain name.
-* You want to create a single-page website that's mostly text, like [Know Your Company](https://knowyourcompany.com/).
-* You want to share a single markdown file and tried GitHub Gist ([example](https://gist.github.com/dypsilon/5819504)), but would like something nicer-looking.
-* You want something like GitHub's [automatic page generator](http://pages.github.com/) for a non-code repository.
-This page itself is built with Solo. It's generated from [this markdown file](https://github.com/chibicode/solo/blob/gh-pages/_includes/index.md).
+## Motivation
+
+There's an intense and growing interest in techniques for compiling
+Python or near-Python languages to native code; a partial list
+includes [PyPy](http://pypy.org/), [Numba](http://numba.pydata.org/),
+[Pyston](https://github.com/dropbox/pyston),
+[Cython](http://cython.org/), [Jython](http://www.jython.org/),
+[Nuitka](http://nuitka.net/),
+[Pythran](https://github.com/serge-sans-paille/pythran),
+[Pyjion](https://github.com/Microsoft/Pyjion),
+[Numexpr](https://github.com/pydata/numexpr),
+[HOPE](http://www.cosmology.ethz.ch/research/software-lab/HOPE.html),
+[GT-Py](https://software.intel.com/en-us/blogs/2016/03/22/gt-py-accelerating-numpy-programs-with-minimal-programming-effort)...
+
+Now seems like a good time to compare notes! Plus there are lots of
+questions that seem like they could benefit from some cross-project
+collaboration. Our exact agenda will depend on participants' interests,
+but here are some examples to give the flavor:
+
+* If I wrap a C function using Cython/CFFI/SWIG/..., could there
+ somehow be a way to expose the original C function to
+ Numba/PyPy/Pyston/etc. to cut out the wrapper overhead? What about
+ vice-versa: if I have a Python function that's been JIT-compiled and
+ I pass it to some native code like
+ [`scipy.optimize.fmin`](https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.fmin.html#scipy.optimize.fmin),
+ could there be some way for the native code in `scipy` to call the
+ JIT-compiled function directly without going through tuple
+ packing/unpacking? Can Numba and Pyston benefit from PyPy's work on
+ CFFI?
+
+* Does it make sense to run Numba on PyPy or Pyston?
-## Usage
+* The Python 2 vs. Python 3 split is very painful for anyone working
+ on compilers/interpreters. What strategies for handling this have
+ worked or not worked?
+
+* A number of the compilers above can take code like
-First, [install Jekyll](http://jekyllrb.com/docs/installation/). Then download Solo from its [GitHub Repository](https://github.com/chibicode/solo). Start Jekyll and you should see this page up and running.
+ ~~~python
+ total = 0.0
+ for num in range(10000):
+ total += num
+ ~~~
-**The main file you'll be editing is `index.md`**. This becomes the content for the page.
+ and perform inlining, unboxing, etc. to compile it down to a tight
+ native loop that far out-performs CPython. This is possible because
+ they have intimate knowledge of built-in Python constructs like
+ `float`, `int`, and `range`. And a number of them have good enough
+ CPython C API compatibility that they can -- or will soon be able to
+ -- execute the same code, but using `numpy`:
-### Other Files
-
-* Edit `_config.yml` to change the site's title and description.
-* Edit `_includes/head.html` to add custom code to ``.
-* Edit `_includes/scripts.html` to add custom code before ``.
-* Edit `CNAME` to host on a custom domain.
-* Edit `README.md` before pushing your code.
-
-### Don't use `
` tags
-
-Wthin `index.md`, do not use `
` tags - `
` is reserved for the site title.
-
-### Supported Tags
-
-Solo supports lists, ``s, `
`s,
-
-> blockquotes, and...
-
-~~~html
-
code blocks with syntax highlighting.
-~~~
-
-### Keep Solo up to date
-
-Instead of downloading, you can [fork Solo](https://github.com/chibicode/solo/fork) and use the "upstream" strategy described on [this page](https://help.github.com/articles/fork-a-repo) to keep Solo up to date.
-
-## Author
-
-Shu Uesugi ([Twitter](http://twitter.com/chibicode)/[GitHub](http://github.com/chibicode)/[G+](https://plus.google.com/110325199858284431541?rel=author)).
-
-
-
-### License
-
-[MIT License](http://chibicode.mit-license.org/)
-
-
+ ~~~python
+ import numpy as np
+ total = 0.0
+ for num in np.arange(10000):
+ total += num
+ ~~~
+
+ But if you're using the CPython C API to call `numpy`, then you
+ can't do unboxing/inlining/loop fusion/etc., because `numpy` objects
+ are a total black box to the compiler, and so this `numpy`ified
+ version of the loop will run at about the same speed in a
+ state-of-the-art JIT as it would in CPython.
+
+ The traditional way to solve this -- as seen in e.g. Numba or
+ Numexpr -- is to give the compiler built-in knowledge of `numpy`
+ types and operations, essentially reimplementing `numpy` inside each
+ compiler. But this strategy has a number of obvious downsides in
+ terms of duplicated effort, subtle incompatibilities, increased
+ testing load for downstream projects, reduced ability to evolve and
+ improve `numpy`'s semantics, and the potential need to then repeat
+ the whole exercise for other projects like
+ [`dynd`](http://libdynd.org/) (a `numpy` competitor) or
+ `pandas`. And this question is becoming particularly urgent, since
+ not only has Numba already started down this road, but Pyston and
+ PyPy are both working on passing the `numpy` test suite right now
+ and are likely to soon move from worrying about correctness to
+ worrying about speed.
+
+ Can we do better? Could there be some way to write a library like
+ `numpy` so that a single codebase could simultaneously target
+ CPython and the newer compilers, while achieving competitive speed
+ in all cases? If so, what would it take to make that happen? If not,
+ then what's the next-best alternative?
+
+
+## Schedule
+
+
+
+TBD -- probably we'll start with some talks from different projects to
+outline their approaches and name some problems they're worrying
+about, and then switch to unconference mode.
+
+
+## A partial list of confirmed attendees
+
+* Nathaniel Smith (NumPy)
+* ~~Kevin Modzelewski (Pyston)~~ (unfortunately had to cancel, may
+ attend remotely)
+* ~~Marius Wachtler (Pyston)~~ (unfortunately had to cancel, may
+ attend remotely)
+* ~~Maciej Fijalkowski (PyPy)~~ (unfortunately had to cancel)
+* Richard Plangger (PyPy)
+* Matti Picus (PyPy)
+* Dino Viehland (Pyjion)
+* Joel Akeret (HOPE)
+* Robert Cohn (Intel)
+* Anton Malakhov (Intel)
+* Chi-Keung Luk (Intel, GT-Py)
+* Jonathan Rocher
+* Siu Kwan Lam (Numba)
+* Stan Seibert (Numba)
+* Ian Henricksen (DyND)
+* Dong-Yuan Chen (Intel)
+
+
+## Sponsors
+
+We're grateful to our sponsors for helping make this event possible:
+
+
+
+We're also very grateful to
+[the SciPy organizers](http://scipy2016.scipy.org/ehome/146062/388083/)
+(especially Jill Cowan) for providing space and other assistance.
+
+Thanks!
+
+## Travel information
+
+See the [SciPy 2016 web site](http://scipy2016.scipy.org/) for
+suggestions on
+[lodging](http://scipy2016.scipy.org/ehome/146062/332952/?&&),
+[transportation](http://scipy2016.scipy.org/ehome/146062/332955/?&&),
+and other travel details.
+
+
+## Code of conduct
+
+Workshop attendees are expected to adhere to the
+[SciPy code of conduct](http://scipy2016.scipy.org/ehome/146062/388087/?&&).
+Please report any violations or concerns to
+[Nathaniel Smith](mailto:njs@pobox.com) or a member of SciPy staff.