News archive:
• 2019.November: I am honored to be a reproducibility vice-chair for
Supercomputing'19
• 2018.November: Slides from the
RESCUE-HPC'18 workshop at Supercomputing'18 are now available online
• 2018.October: I made a presentation together with Amazon colleagues at O'Reilly AI conference about about how our
Collective Knowledge technology helps users to optimize performance, accuracy and speed of AI applications in the AWS cloud
• 2018.October: I had a very productive visit to LLNL presenting our
Collective Knowledge Technology and discussing possible collaboration
• 2018.October: Our Collective Knowledge platform successfully helped to automate, reproduce and share experiments
at the
2nd Quantum Hackathon in London.
See results from different users in the
public CK repository
• 2018.October: We released new
CK V1.9.6
• 2018.July: Honored to lead reproducibility efforts and
artifact evaluation at the upcoming
SysML'19 conference
• 2018.July: We released new CK with 500+ reusable, portable and customizable AI/ML components (frameworks, libraries, models, data sets):
blog
• 2018.June: We finalized the 1st ACM ReQuEST-ASPLOS'18 proceedings and results report: see
ACM DL and
online report
• 2018.May: Please consider submitting your position papers to the
ResCuE-HPC'18 workshop at SuperComputing'18
• 2018.March: I presented our
open AI/SW/HW co-design platform at
EMC2 and
ReQuEST workshops at
ASPLOS'18 in Williamsburg, VA, USA.
• 2018.March: Reproducible results from the 1st open ReQuEST tournament on SW/HW co-design of efficient inference (speed,accuracy,costs) are now available online:
(
live scoreboard,
CK workflows,
workshop program)
• 2018.February: Summary of our reproducibility activities in 2017 is now available
online!
• 2017.November: Our
1st open tournament on reproducible AI/SW/HW co-design (speed, accuracy, costs) was accepted for
ASPLOS'18!
• 2017.November: We have won an
Innovate UK grant to extend
Collective Knowledge in 2018 - more details to follow!
• 2017.November: We opened a beta repository to help you find
reusable and customizable AI artifacts
• 2017.September: I
presented CK-powered Optimisation of AI Applications Across the Whole SW/HW Stack at the
ARM Research Summit'17
• 2017.September:
Microsoft sponsors my non-profit cTuning foundation
• 2017.August:
ARM presented our technology at the Embedded Vision Summit
• 2017.June:
ACM evaluates our CK technology to share experimental workflows in Digital Libraries
• 2017.March:
Our CNRS webcast on "Enabling open and reproducible research at computer systems conferences: good, bad and ugly"
• 2017.March: Together with
General Motors we released a new version of our
open research AI SDK to collaboratively optimize and co-design SW/HW/model stack of deep learning and AI across diverse devices from IoT to HPC!
•
2017.February: Our CGO'07 research paper received "test of time" award!
• 2017.February: We discussed how to improve future Artifact Evaluation at
joint CGO-PPoPP'17 AE panel (Monday, 17:15-17:45, Austin, TX, USA)
• 2017.February: The distinguished artifact at the
CGO'17 was implemented using our CK framework - see it at
GitHub!
•
2017.February: Last year we co-authored ACM's policy on Result and Artifact Review and Badging and prepared Artifact Appendices now used at SuperComputing'17!
• 2017.February: We started preparing AI for collaborative optimization powered by CK:
cKnowledge.org/ai
• 2017.February:
Michel Steuwer (University of Edinburgh) blogged about
CK concepts
• 2017.January:
dividiti and
GM shared CK-powered customizable and reusable workflow for
Caffe (popular DNN framework) running on Linux, Windows and Android!
•
2017.January: We wish you a very happy and successful New Year, and start it with several exciting internships available at dividiti (Cambridge, UK)
• 2016.December: 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") ]
• 2016.October: We presented our collaborative approach to workloads benchmarking at
ARM TechCon'16 (Oct.27, Santa Clara, USA)
• 2016.October: We presented
Collective Knowledge approach for unified artifact sharing
MozFest'16 Open Science Session (Oct.27, London, UK)
• 2016.September: We released
CK V1.8.2 with continuous integration, support for
farms of machines, new
CK documentation, and new Open Science resources at
GitHub!
• 2016.August: We helped organize
Artifact Evaluation for PACT'16!
• 2016.June: Congratulations to Abdul Memon (my last PhD student) 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!
• 2016.June:
Dagstuhl workshop on Engineering Academic Software!
• 2016.June: Our
Collective Knowledge approach for collaborative and reproducible experimentation was presented at the
Smart Anything Everywhere Workshop: Enhancing digital transformation in European SMEs!
• 2016.May: Thanks to a one-year grant from
Microsoft, we have moved
Collective Knowledge Repository to
Azure cloud!
• 2016.May: I presented
Collective Knowledge technology and
Artifact Evaluation at the
ACM,
IBM and
MIT!
• 2016.April: We started new CK-based research project with
Imperial College London funded by
TETRACOM - more info to come soon!
• 2016.March.14: Thank you for a very positive feedback about
new Artifact Evaluation procedures and
Collective Knowledge concept at the CGO/PPoPP'16!
• 2016.March: We presented our paper
"Collective Knowledge: towards R&D sustainability" and demonstrated
CK-based crowdtuning results at
DATE'16.
• 2016.March.1: We released
updated CK with
Android app to crowdsource GCC/LLVM tuning!
• 2016.January: ADAPT'16 program with keynote by Ed Plowman (ARM) is now
available online - check out
Reddit discussions!
• 2015.November: I gave a
guest lecture about Collective Knowledge at the
University of Manchester [
slides]!
• 2015.November: We co-organized exciting
Dagstuhl perspective workshop on artifact evaluation - the report will follow soon!
• 2015.September: We released our Collective Knowledge Framework for collaborative and reproducible R&D [
GitHub,
live demo]!
• 2015.March: I gave a
guest lecture at the
University of Copenhagen [
slides]!
• 2015.February: I received
HiPEAC technology transfer award for validating my new
Collective Knowledge Framework and Repository at
ARM;
• Recent publications with my long-term vision: [
DATE'16 (with artifacts),
CPC'15 (with artifacts),
Scientific Programming'14 (with artifacts),
TRUST@PLDI'14].