1 code implementation • 29 Sep 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
Medical AI has tremendous potential to advance healthcare by supporting the evidence-based practice of medicine, personalizing patient treatment, reducing costs, and improving provider and patient experience.
3 code implementations • 2 Nov 2020 • Grigori Fursin
The CK framework is used to organize and manage research projects as a database of such components.
1 code implementation • 12 Jun 2020 • Grigori Fursin
This article provides an overview of the Collective Knowledge technology (CK or cKnowledge).
2 code implementations • 22 Jan 2020 • Grigori Fursin, Herve Guillou, Nicolas Essayan
We present CodeReef - an open platform to share all the components necessary to enable cross-platform MLOps (MLSysOps), i. e. automating the deployment of ML models across diverse systems in the most efficient way.
no code implementations • 31 Mar 2019 • Grigori Fursin
Reproducing, comparing and reusing results from machine learning and systems papers is a very tedious, ad hoc and time-consuming process.
no code implementations • 29 Mar 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
Machine learning (ML) techniques are enjoying rapidly increasing adoption.
7 code implementations • 19 Jan 2018 • Thierry Moreau, Anton Lokhmotov, Grigori Fursin
Co-designing efficient machine learning based systems across the whole hardware/software stack to trade off speed, accuracy, energy and costs is becoming extremely complex and time consuming.
3 code implementations • 19 Jan 2018 • Grigori Fursin, Anton Lokhmotov, Dmitry Savenko, Eben Upton
Developing efficient software and hardware has never been harder whether it is for a tiny IoT device or an Exascale supercomputer.
Human-Computer Interaction Computers and Society
22 code implementations • 20 Jun 2015 • Grigori Fursin, Abdul Memon, Christophe Guillon, Anton Lokhmotov
Nowadays, engineers have to develop software often without even knowing which hardware it will eventually run on in numerous mobile phones, tablets, desktops, laptops, data centers, supercomputers and cloud services.
10 code implementations • 14 Jul 2014 • Lianjie Luo, Yang Chen, Chengyong Wu, Shun Long, Grigori Fursin
Iterative compilation is a widely adopted technique to optimize programs for different constraints such as performance, code size and power consumption in rapidly evolving hardware and software environments.
1 code implementation • 16 Jun 2014 • Grigori Fursin, Christophe Dubach
In this report, we share our practical experience on crowdsourcing evaluation of research artifacts and reviewing of publications since 2008.
Digital Libraries
no code implementations • 11 Aug 2013 • Grigori Fursin
Software and hardware co-design and optimization of HPC systems has become intolerably complex, ad-hoc, time consuming and error prone due to enormous number of available design and optimization choices, complex interactions between all software and hardware components, and multiple strict requirements placed on performance, power consumption, size, reliability and cost.