Automated subtree export at 2019-08-05T16:30:57.263890

.travis.yml

@@ -1,11 +1,65 @@
-language: generic
+os:
+  - linux
+  - osx
+
+# Sudo is required to swap out GCC for GCC-5 on linux.
+sudo: required
+
+osx_image: xcode10.2
+
+dist: trusty
+
+language:
+  - generic
+
+env:
+  global:
+    # ./configure script symlinks python3 to ~/.local/bin/python, and macos
+    # image needs GNU tools in PATH, rather than BSD versions.
+    - PATH="$HOME/.local/bin:/usr/local/opt/coreutils/libexec/gnubin/stat:/usr/local/opt/findutils/libexec/gnubin:/usr/local/opt/gnu-sed/libexec/gnubin:$PATH"
+    # Environment variables needed for zlib.
+    # See: https://github.com/pyenv/pyenv/issues/530
+    - PKG_CONFIG_PATH="$PKG_CONFIG_PATH /usr/local/opt/zlib/lib/pkgconfig"
+    - LDFLAGS="$LDFLAGS -L/usr/local/opt/zlib/lib"
+    - CPPFLAGS="$CPPFLAGS -I/usr/local/opt/zlib/include"
+
+addons:
+  homebrew:
+    brewfile: tools/Brewfile.travis
+  apt:
+    sources:
+      - sourceline: 'ppa:jonathonf/python-3.6'
+      - sourceline: 'deb [arch=amd64] http://storage.googleapis.com/bazel-apt stable jdk1.8'
+        key_url: 'https://storage.googleapis.com/bazel-apt/doc/apt-key.pub.gpg'
+      - ubuntu-toolchain-r-test
+    packages:
+      - openjdk-8-jdk
+      - python
+      - python3.6
+      - python3.6-dev
+      - bazel
+      - gcc-5
+      - g++-5
 
 services:
-  - docker
+  - mysql
 
 install:
-  - docker pull chriscummins/phd_build:latest
-  - chmod -R 777 $TRAVIS_BUILD_DIR
+  # Remove pyenv, since we use the system package managers to install python.
+  - rm -rf $(pyenv root)
+  # Swap out GCC for GCC-5 on linux to enable support for --std=c++14.
+  # See: https://gist.github.com/cotsog/3ce84675af0d74438d91
+  - if [[ $TRAVIS_OS_NAME == "linux" ]]; then sudo unlink /usr/bin/gcc && sudo ln -s /usr/bin/gcc-5 /usr/bin/gcc; fi
+  - ./configure --noninteractive
+  # Symlink the system python2 in place so that we bypass the pyenv shim.
+  - if [[ $TRAVIS_OS_NAME == "linux" ]]; then ln -s /usr/bin/python2 $HOME/.local/bin; fi
+
+before_script:
+  # Print version numbers for debugging.
+  - python2 --version
+  - python3 --version
+  - bazel version
+  - gcc --version
 
 script:
-  - docker run -v$TRAVIS_BUILD_DIR:/phd chriscummins/phd_build:latest -c "./configure --noninteractive && bazel run //tools:whoami"
+  - bazel test --config=travis //labm8:all

README.md

@@ -1,238 +1,32 @@
-# My PhD
+![labm8](https://raw.github.com/ChrisCummins/labm8/master/labm8/labm8.jpg)
 
-<!-- repo size -->
-<a href="https://github.com/ChrisCummins/phd">
-  <img src="https://img.shields.io/github/repo-size/ChrisCummins/phd.svg">
+<!-- pypi version -->
+<a href="https://badge.fury.io/py/labm8">
+    <img src="https://img.shields.io/pypi/v/labm8.svg?color=brightgreen">
+</a>
+<!-- Travis CI -->
+<a href="https://github.com/ChrisCummins/labm8">
+  <img src="https://img.shields.io/travis/ChrisCummins/labm8/master.svg">
+</a>
+<!-- downloads counter -->
+<a href="https://github.com/ChrisCummins/labm8">
+  <img src="https://pepy.tech/badge/labm8">
 </a>
 <!-- commit counter -->
-<a href="https://github.com/ChrisCummins/phd">
-  <img src="https://img.shields.io/github/commit-activity/y/ChrisCummins/phd.svg?color=yellow">
+<a href="https://github.com/ChrisCummins/labm8">
+  <img src="https://img.shields.io/github/commit-activity/y/ChrisCummins/labm8.svg?color=yellow">
 </a>
-<!-- Travis CI -->
-<a href="https://github.com/ChrisCummins/phd">
-  <img src="https://img.shields.io/travis/ChrisCummins/phd/master.svg">
+<!-- repo size -->
+<a href="https://github.com/ChrisCummins/labm8">
+    <img src="https://img.shields.io/github/repo-size/ChrisCummins/labm8.svg">
+</a>
+<!-- license -->
+<a href="https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)">
+  <img src="https://img.shields.io/badge/license-Apache%202.0-blue.svg?style=flat">
 </a>
 
-A monolothic repository for (almost) everything I have done while at the University of Edinburgh. Living an #open life.
-
-
-##  Publications
-
-1. Chris Cummins, Pavlos Petoumenos, Alastair Murray, Hugh Leather.
-   "**Compiler Fuzzing through Deep Learning**".
-   ISSTA '18.
-   [[source code]](/docs/2018_07_issta).
-   [[pdf]](https://chriscummins.cc/pub/2018-issta.pdf).
-   Build command: `$ bazel build //docs/2018_07_issta`.
-1. Chris Cummins, Pavlos Petoumenos, Alastair Murray, Hugh Leather.
-   "**DeepSmith: Compiler Fuzzing through Deep Learning**".
-   ACACES '18.
-   [[source code]](/docs/2018_07_acaces).
-   [[pdf]](https://chriscummins.cc/pub/2018-acaces.pdf).
-   Build command: `$ bazel build //docs/2018_07_acaces`.
-1. Chris Cummins, Pavlos Petoumenos, Zheng Wang, Hugh Leather.
-   "**End-to-end Deep Learning of Optimization Heuristics**".
-   PACT '17.
-   [[source code]](https://github.com/ChrisCummins/paper-end2end-dl/).
-   [[pdf]](https://github.com/ChrisCummins/paper-end2end-dl/raw/master/paper.pdf).
-   Build command: `$ bazel build //docs/2017_09_pact`.
-1. Chris Cummins, Pavlos Petoumenos, Zheng Wang, Hugh Leather.
-   "**Synthesizing Benchmarks for Predictive Modeling**".
-   CGO '17.
-   [[source code]](https://github.com/ChrisCummins/paper-synthesizing-benchmarks/).
-   [[pdf]](https://github.com/ChrisCummins/paper-synthesizing-benchmarks/raw/master/paper.pdf).
-   [[acm]](https://dl.acm.org/citation.cfm?id=3049843).
-   Build command: `$ bazel build //docs/2017_02_cgo`.
-1. Chris Cummins, Pavlos Petoumenos, Michel Steuwer, Hugh Leather.
-   "**Autotuning OpenCL Workgroup Sizes**". ACACES '16.
-   [[source code]](/docs/2016_07_acaces).
-   Build command: `$ bazel build //docs/2016_07_acaces`.
-1. Chris Cummins, Pavlos Petoumenos, Michel Steuwer, Hugh Leather.
-   "**Towards Collaborative Performance Tuning of Algorithmic Skeletons**".
-   HLPGPU '16, HiPEAC.
-   [[source code]](https://github.com/ChrisCummins/paper-towards-collaborative-performance-tuning).
-   [[pdf]](https://github.com/ChrisCummins/paper-towards-collaborative-performance-tuning/raw/master/paper.pdf).
-   Build command: `$ bazel build //docs/2016_01_hlpgpu`.
-1. Chris Cummins, Pavlos Petoumenos, Michel Steuwer, Hugh Leather.
-   "**Autotuning OpenCL Workgroup Size for Stencil Patterns**".
-   ADAPT '16, HiPEAC.
-   [[source code]](https://github.com/ChrisCummins/paper-autotuning-opencl-wgsize).
-   [[pdf]](https://github.com/ChrisCummins/paper-autotuning-opencl-wgsize/raw/master/paper.pdf).
-   [[arxiv]](https://arxiv.org/abs/1511.02490).
-   Build command: `$ bazel build //docs/2016_01_adapt`.
-1. Chris Cummins. "**Autotuning Stencils Codes with Algorithmic Skeletons**".
-   MSc Thesis, 2015. The University of Edinburgh.
-   [[source code]](/docs/2015_08_msc_thesis).
-   Build command: `$ bazel build //docs/2015_08_msc_thesis`.
-
-
-## Talks
-
-1. Chris Cummins. "**Compiler Fuzzing through Deep Learning**", 3rd August, 2018.
-   Codeplay, Edinburgh, Scotland.
-   [[files]](/talks/2018_08_codeplay).
-   [[slides]](https://speakerdeck.com/chriscummins/compiler-fuzzing-through-deep-learning-issta-18).
-1. Chris Cummins. "**Machine Learning for Compilers**", 20th July, 2018.
-   Workshop on Introspective Systems for Automatically Generating Tests (ISAGT),
-   Amsterdam, Netherlands.
-   [[files]](/talks/2018_07_isagt).
-   [[pdf]](https://github.com/ChrisCummins/phd/raw/master/talks/2018_07_isagt/2018_07_isagt.pdf).
-1. Chris Cummins. "**Compiler Fuzzing through Deep Learning**", 16th July, 2018.
-   ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), Amsterdam, Netherlands.
-   [[files]](/talks/2018_07_issta).
-   [[slides]](https://speakerdeck.com/chriscummins/compiler-fuzzing-through-deep-learning-issta-18).
-1. Chris Cummins. "**End-to-end Deep Learning of Optimization Heuristics**", 23rd March, 2018.
-   Facebook, Menlo Park.
-   [[files]](/talks/2018_03_facebook).
-   [[slides]](https://speakerdeck.com/chriscummins/end-to-end-deep-learning-of-optimization-heuristics-pact-17).
-1. Chris Cummins. "**End-to-end Deep Learning of Optimization Heuristics**", 2nd Feb, 2018.
-   Google, Mountain View.
-   [[files]](/talks/2018_02_google).
-   [[slides]](https://speakerdeck.com/chriscummins/end-to-end-deep-learning-of-optimization-heuristics-pact-17).
-1. Chris Cummins. "**Second Year Progression Review**", 18th Dec, 2017.
-   The University of Edinburgh, Scotland.
-   [[files]](/talks/2017_12_second_year_review).
-   [[pdf]](https://github.com/ChrisCummins/phd/raw/master/talks/2017-12-second-year-review/2017-12-second-year-review.pdf).
-1. Chris Cummins. "**End-to-end Deep Learning of Optimization Heuristics**", 4th Oct, 2017.
-   The University of Edinburgh, Scotland.
-   [[files]](/talks/2017_10_ppar).
-   [[slides]](https://speakerdeck.com/chriscummins/end-to-end-deep-learning-of-optimization-heuristics-pact-17).
-1. Chris Cummins. "**End-to-end Deep Learning of Optimization Heuristics**", 12th Sep, 2017.
-   International Conference on Parallel Architectures and Compilation Techniques (PACT), Portland, Oregon, USA.
-   [[files]](/talks/2017_09_pact).
-   [[slides]](https://speakerdeck.com/chriscummins/end-to-end-deep-learning-of-optimization-heuristics-pact-17).
-1. Chris Cummins. "**Deep Learning in Compilers**", 14th Jun, 2017.
-   The University of Edinburgh, Scotland.
-   [[files]](/talks/2017_06_ppar).
-   [[pdf]](https://github.com/ChrisCummins/phd/raw/master/talks/2017-06-ppar/2017-06-ppar.pdf). [[transcript]](https://chriscummins.cc/2017/deep-learning-in-compilers/).
-1. Chris Cummins. "**Using Deep Learning to Generate Human-like Code**", 22nd April, 2017.
-   Scottish Programming Languages Seminar, University of St.
-   Andrews, Scotland.
-   [[files]](/talks/2017_03_spls).
-   [[pdf]](https://github.com/ChrisCummins/phd/raw/master/talks/2017-03-spls/2017-03-spls.pdf).
-1. Chris Cummins. "**Synthesizing Benchmarks for Predictive Modeling**", 6th Febuary, 2017.
-   International Symposium on Code Generationand Optimization (CGO), Austin, Texas, USA.
-   [[files]](/talks/2017_02_cgo).
-   [[slides]](https://speakerdeck.com/chriscummins/synthesizing-benchmarks-for-predictive-modelling-cgo-17).
-1. Chris Cummins. "**Machine Learning & Compilers**", 9th September, 2016.
-   Codeplay, Edinburgh, Scotland.
-   [[files]](/talks/2017_02_cgo).
-   [[slides]](https://speakerdeck.com/chriscummins/machine-learning-and-compilers).
-1. Chris Cummins. "**Building an AI that Codes**", 22nd July, 2016.
-   Ocado Technology, Hatfield, England.
-   [[files]](/talks/2016_07_ocado).
-   [[pdf]](https://github.com/ChrisCummins/phd/raw/master/talks/2016-07-ocado/2016-07-ocado.pdf).
-1. Chris Cummins.
-   "**All the OpenCL on GitHub: Teaching an AI to code, one character at a time**", 19th May, 2016.
-   Amazon Development Centre, Edinburgh, Scotland.
-   [[files]](/talks/2016_05_amazon).
-   [[pdf]](https://github.com/ChrisCummins/phd/raw/master/talks/2016-05-amazon/2016-05-amazon.pdf).
-1. Chris Cummins. "**Autotuning and Algorithmic Skeletons**", Wed 10th Feb, 2016.
-   The University of Edinburgh, Scotland.
-   [[files]](/talks/2016_02_ppar).
-   [[pdf]](https://github.com/ChrisCummins/phd/raw/master/talks/2016-02-ppar/2016-02-ppar.pdf).
-1. Chris Cummins. "**Towards Collaborative Performance Tuning of Algorithmic Skeletons**", Tues 19th Jan, 2016.
-   HLPGPU, HiPEAC, Prague.
-   [[files]](/talks/2016_01_hlpgpu).
-   [[pdf]](https://github.com/ChrisCummins/phd/raw/master/talks/2016-01-hlpgpu/2016-01-hlpgpu.pdf).
-1. Chris Cummins. "**Autotuning OpenCL Workgroup Size for Stencil Patterns**", Mon 18th Jan, 2016.
-   ADAPT, HiPEAC, Prague.
-   [[files]](/talks/2016_01_adapt).
-   [[pdf]](https://github.com/ChrisCummins/phd/raw/master/talks/2016-01-adapt/2016-01-adapt.pdf).
-1. Chris Cummins.
-   "**Towards Collaborative Performance Tuning of Algorithmic Skeletons**", Thurs 14th Jan, 2016.
-   The University of Edinburgh, Scotland.
-   [[files]](/talks/2016_01_hlpgpu).
-   [[pdf]](https://github.com/ChrisCummins/phd/raw/master/talks/2016-01-hlpgpu/2016-01-hlpgpu.pdf).
-
-
-## Misc
-
-1. **Curriculum Vitae**.
-   [[source code]](/docs/cv).
-   [[pdf]](https://chriscummins.cc/cv.pdf).
-   [[html]](https://chriscummins.cc/cv/).
-   Build command: `$ bazel build //docs/cv`.
-1. Chris Cummins, Pavlos Petoumenos, Michel Steuwer, Hugh Leather.
-   "**Collaborative Autotuning of Algorithmic Skeletons for GPUs and CPUs**".
-   Incomplete journal version of ADAPT and HLPGPU papers.
-   [[source code]](/docs/2016_12_wip_taco).
-   Build command: `$ bazel build //docs/2016_12_wip_taco`.
-1. Chris Cummins. "**Deep Learning for Compilers**". PhD First Year Review
-   Document, 2016.
-   [[source code]](/docs/2016_11_first_year_review).
-   Build command: `$ bazel build //docs/2016_11_first_year_review`.
-1. Chris Cummins, Hugh Leather. "**Autotuning OpenCL Workgroup Sizes**".
-   Rejected submission for PACT'16 Student Research Competition.
-   [[source code]](/docs/2016_07_pact).
-   Build command: `$ bazel build //docs/2016_07_pact`.
-1. Chris Cummins, Pavlos Petoumenos, Michel Steuwer, Hugh Leather.
-   "**Autotuning OpenCL Workgroup Sizes**".
-   Submission for PLDI'16 Student Poster Session.
-   [[source code]](/docs/2016_06_pldi).
-   Build command: `$ bazel build //docs/2016_06_pldi`.
-1. Chris Cummins. "**Autotuning and Skeleton-aware Compilation**".
-   PhD Progression Review, 2015.
-   [[source code]](/docs/2015_09_progression-review).
-   Build command: `$ bazel build //docs/2015_09_progression_review`.
-
-
-<h2>
-   Building the code
-</h2>
-
-I use [Bazel](https://bazel.build) as my build system of choice, with a
-preliminary [configure](/configure) script to setup the build. I'm gradually
-working towards a completely hermetic build, but for now there remains a couple
-of dependencies on the host C++ toolchain and Python runtime.
-
-This project can only be built on a modern version of Ubuntu Linux or macOS.
-This is a requirement I inherit from my dependencies, which eschew Windows and
-other Linux distros. Fortunately, you can use a
-[Docker](https://www.docker.com/community-edition) image and follow the Ubuntu
-instructions:
-
-```sh
-$ docker run -it ubuntu:18.04 /bin/bash
-```
-
-If you have success building this project on other platforms, I'd love to hear
-about it and accept patches.
-
-#### Ubuntu/MacOS instructions
-
-Configure the build and answer the yes/no questions. The default answers should
-be fine:
-
-```sh
-$ ./configure
-```
-
-Note that CUDA support requires CUDA to have been installed separately,
-see the [TensorFlow build docs](https://www.tensorflow.org/install/) for
-instructions. CUDA support has only been tested for Linux builds, not macOS or
-Docker containers.
-
-The configure process generates a `bootstrap.sh` script which will install the
-required dependent packages. Since installing these packages will affect the
-global state of your system, and may requires root access, inspect this script
-carefully. Once you're happy to proceed, run it using:
-
-```sh
-$ bash ./bootstrap.sh
-```
-
-Finally, we must set up the shell environment for running bazel. The file `.env`
-is created by the configure process and must be sourced for every shell we want
-to use bazel with:
-
-```sh
-$ source $PWD/.env
-```
 
-Now build or test whatever bazel targets you'd like. Use `bazel query //...` to
-list the available targets. E.g. to run the entire test suite, run:
+Copyright 2015-2019 Chris Cummins <chrisc.101@gmail.com>.
 
-```bash
-$ bazel test //...
-```
+Released under the terms of the Apache 2.0 license. See
+`LICENSE` for details.