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- CK 1.9.5 released
- CK website redesigned
- SysML'19 CFP with artifact evaluation
- ACM ReQuEST-ASPLOS'18 CK workflows are online
- ACM ReQuEST-ASPLOS'18 report is now online
- Report about results of the 1st ReQuEST-ASPLOS'18 tournament and next steps
- ACM ReQuEST-ASPLOS'18 proceedings are now online
- ResCuE-HPC'18: The 1st Workshop on Reproducible, Customizable and Portable Workflows for HPC co-located with SuperComputing'18
- We presented CK-based ReQuEST tournaments at ACM ASPLOS'18 to co-design efficient AI/SW/HW stack in terms of speed, accuracy, energy and various costs in a collaborative, reproducible and reusable way
- See our interactive and arXiv report about CK workflows for collaborative research into multi-objective autotuning and machine learning techniques (sponsored by the Raspberry Pi foundation)
- Our 1st open tournament on reproducible AI/SW/HW co-design (speed, accuracy, costs) was accepted for ASPLOS'18
- We have won an Innovate UK grant to extend CK in 2018 - more details to follow
- We updated our beta repository to find reusable and customizable AI artifacts
- Distinguished artifact at IA3 at SuperComputing'18 was shared using CK
- Anton Lokhmotov presented "Community-driven AI/SW/HW co-design and optimisation" at CW Tec Conference on Artificial Intelligence
- Microsoft sponsors Azure hosting for CK repository
- Grigori Fursin presented CK-powered, Community-Driven and Knowledge-Guided Optimisation of AI Applications Across the Whole SW/HW Stack at the ARM Research Summit'17
- ARM presented CK-powered technology for collaborative deep learning co-design at the Embedded Vision Summit
- We released CK-powered open-source tools for collaborative SW/HW co-design of AI algorithms
- Demo of CK-powered AI API with collaboratively optimized DNN is now available here
- We received CGO test of time award
- Our CNRS webcast on "Enabling open and reproducible research at computer systems conferences: good, bad and ugly"
- CK-powered artifact received distinguished award at CGO'17 (Austin,TX): paper with AE appendix and CK workflow, GitHub sources, CK interactive dashboard snapshot;
- Michel Steuwer (University of Edinburgh) blogged about CK concepts;
- We discussed with the commnunity how to use CK to improve Artifact Evaluation for CGO,PPoPP,PACT,RTSS,SC;
- Check out new CK-AI initiative to provide common JSON API and web-services for popular DNN frameworks (Caffe, TensorFlow, TensorRT) and prepare them for collaborative optimization (code and models);
- Several exciting internships are available at dividiti (Cambridge, UK)
- We released new version of our open-source Android application to crowdsource benchmarking and optimization of various DNN libraries and models (Dec.27). Grab it at Google Play; get sources from GitHub; see crowd-results (scenario "crowd-benchmark DNN libraries").
- We presented our collaborative project with ARM to continuously learn and optimize behavior of real workloads across diverse hardware at ARM TechCon'16 (Oct.27, Santa Clara, USA). See our related vision papers: 1, 2, 3, 4.
- We updated list of CK-powered open R&D challenges in computer engineering.
- We presented Collective Knowledge approach at MozFest'16 Open Science Session (Oct.27, London, UK).
- Alastair Donaldson's group from Imperial College London won HiPEAC technology transfer award for crowdsourcing bug detection using CK and CLsmith.
- Upcoming CK presentation at ARM TechCon'16 (October);
- ARM uses CK as a front-end for systematic and reproducible benchmarking and tuning of real workloads: link;
- Summer'16 digest on reproducible research and open science is available: Enabling-open-science-blog-20160919
- General Motors and dividiti shared CK workflow to crowd-benchmark and crowd-tune CAFFE (DNN framework) here;
- Fully updated documentation is now available;
- We moved Open Science resources here;
- We added continuous integration;
- Collective Knowledge Summer'16 digest is available: blog
- CK is in Wikipedia
- CK is used in ACM pilot study: PDF
- CK supports Jupyter notebooks and Docker;
- We released CK [V1.8.1](http://cknowledge.org V1.8.1) with continuous integration support, rewrote CK docs, and moved our Open Science resources to GitHub!
- Artifact Evaluation for PACT'16 was successfully completed!
- Stable Collective Knowledge v1.7.2 was released. See release notes.
- Congratulations to Abdul Memon (advised by Grigori Fursin from the cTuning foundation for successfully defending his thesis "Crowdtuning: Towards Practical and Reproducible Auto-tuning via Crowdsourcing and Predictive Analytics" in the University of Paris-Saclay. Most of the software, data sets and experiments are not only reproducible but also shared as reusable and extensible components via Collective Mind and CK!
- Thanks to a one-year grant from Microsoft, we moved Collective Knowledge Repository to Azure cloud!
- Our Collective Knowledge approach for collaborative and reproducible experimentation was presented at the Smart Anything Everywhere Workshop: Enhancing digital transformation in European SMEs!
- We presented Collective Knowledge technology and Artifact Evaluation at the ACM, IBM and MIT!
- We released new CK version and Android app to crowdsource GCC/LLVM tuning (see online crowd results, new Android app, CK framework, participation info ).
- We presented CK concept to enable efficient and reliable computing and made several demos at DATE'16 ( [pdf](http://bit.ly/ck-date16 pdf) ).
- We supported artifact evaluation for CGO/PPoPP'16 (March 2016).
- We presented our CK-based customizable and multi-objective OpenCL autotuner combined with machine learning and run-time adaptation ( PDF ) at MULTIPROG'16 (January 2016).
- Ed Plowman (director of performance analysis strategy in ARM): contribute to CK and workload automation Slides!
- We've organized ADAPT workshop with new publication module where artifacts and publications are reviewed by the community via Reddit! Several colleagues used CK for artifact sharing!
- CK and ARM received HiPEAC technology transfer award.