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Grigori Fursin

INRIA Saclay - Ile de France

MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation


Oct 08, 2021
Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Srini Bala, Daniel J. Beutel, Victor Bittorf, Akshay Chaudhari, Alexander Chowdhury, Cody Coleman, Bala Desinghu, Gregory Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Junyi Guo, Xinyuan Huang, David Kanter, Satyananda Kashyap, Nicholas Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G Anthony Reina, Pablo Ribalta, Jacob Rosenthal, Abhishek Singh, Jayaraman J. Thiagarajan, Anna Wuest, Maria Xenochristou, Daguang Xu, Poonam Yadav, Michael Rosenthal, Massimo Loda, Jason M. Johnson, Peter Mattson

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Collective Knowledge: organizing research projects as a database of reusable components and portable workflows with common APIs


Nov 02, 2020
Grigori Fursin

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* Accepted for Philosophical Transactions of the Royal Society 
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The Collective Knowledge project: making ML models more portable and reproducible with open APIs, reusable best practices and MLOps


Jun 18, 2020
Grigori Fursin

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* arXiv admin note: text overlap with arXiv:2001.07935 
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CodeReef: an open platform for portable MLOps, reusable automation actions and reproducible benchmarking


Jan 27, 2020
Grigori Fursin, Herve Guillou, Nicolas Essayan

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* Presented at the 1st Workshop on MLOps Systems co-located with the 3rd Conference on Machine Learning and Systems (MLSys'20) in Austin, TX, USA: https://mlops-systems.github.io . A live interactive demo: https://CodeReef.ai/demo 
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SysML: The New Frontier of Machine Learning Systems


May 01, 2019
Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Jennifer Chayes, Eric Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim Hazelwood, Furong Huang, Martin Jaggi, Kevin Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konečný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Aparna Lakshmiratan, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Murray, Kunle Olukotun, Dimitris Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar


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SysML'19 demo: customizable and reusable Collective Knowledge pipelines to automate and reproduce machine learning experiments


Mar 31, 2019
Grigori Fursin

* Accepted demo at the Conference on Systems and Machine Learning (SysML'19) 
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Introducing ReQuEST: an Open Platform for Reproducible and Quality-Efficient Systems-ML Tournaments


Jan 19, 2018
Thierry Moreau, Anton Lokhmotov, Grigori Fursin

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* ReQuEST tournament website: http://cKnowledge.org/request 
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Collective Mind, Part II: Towards Performance- and Cost-Aware Software Engineering as a Natural Science


Jun 20, 2015
Grigori Fursin, Abdul Memon, Christophe Guillon, Anton Lokhmotov

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* Presented at the 18th International Workshop on Compilers for Parallel Computing (CPC'15), London, UK 
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Finding representative sets of optimizations for adaptive multiversioning applications


Jul 14, 2014
Lianjie Luo, Yang Chen, Chengyong Wu, Shun Long, Grigori Fursin

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* 3rd Workshop on Statistical and Machine Learning Approaches Applied to Architectures and Compilation (SMART'09), co-located with HiPEAC'09 conference, Paphos, Cyprus, 2009 
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Collective Mind: cleaning up the research and experimentation mess in computer engineering using crowdsourcing, big data and machine learning


Aug 11, 2013
Grigori Fursin

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* I started drafting this document at the beginning of the development of the 3rd version of plugin-based cTuning infrastructure and repository (aka Collective Mind) to systematize and crowdsource program and architecture auto-tuning; (2013) 
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