Grigori Fursin

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 22

Top Venues

University of Edinburgh, UK (PHD)

Education History

University of Edinburgh, UK

PHD

Publications

Grigori Fursin
Enabling more efficient and cost-effective AI/ML systems with Collective Mind, virtualized MLOps, MLPerf, Collective Knowledge Playground and reproducible optimization tournaments. CoRR (2024)
Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Anna Wuest, Sarthak Pati, Hasan Kassem, Maximilian Zenk, Ujjwal Baid, Prakash Narayana Moorthy, Alexander Chowdhury, Junyi Guo, Sahil S. Nalawade, Jacob Rosenthal, David Kanter, Maria Xenochristou, Daniel J. Beutel, Verena Chung, Timothy Bergquist, James Eddy, Abubakar Abid, Lewis Tunstall, Omar Sanseviero, Dimitrios Dimitriadis, Yiming Qian, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Srini Bala, Victor Bittorf, Sreekar Reddy Puchala, Biagio Ricciuti, Soujanya Samineni, Eshna Sengupta, Akshay Chaudhari, Cody Coleman, Bala Desinghu, Gregory Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Cassiano Ferro Moraes, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Abhishek Singh, Jayaraman J. Thiagarajan, Jacob Albrecht, Thomas Wolf, Geralyn Miller, Huazhu Fu, Prashant Shah, Daguang Xu, Poonam Yadav, David Talby, Mark M. Awad, Jeremy P. Howard, Michael Rosenthal, Luigi Marchionni, Massimo Loda, Jason M. Johnson, Spyridon Bakas, Peter Mattson
Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. 5 (7) (2023)
Paolo Sylos Labini, Marco Cianfriglia, Damiano Perri, Osvaldo Gervasi, Grigori Fursin, Anton Lokhmotov, Cedric Nugteren, Bruno Carpentieri, Fabiana Zollo, Flavio Vella
On the Anatomy of Predictive Models for Accelerating GPU Convolution Kernels and Beyond. ACM Trans. Archit. Code Optim. 18 (1) (2021)
Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Ilkay Altintas, Rosa M. Badia, Bartosz Balis, Tainã Coleman, Frederik Coppens, Frank Di Natale, Bjoern Enders, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Daniel Garijo, Carole A. Goble, Dorran Howell, Shantenu Jha, Daniel S. Katz, Daniel Laney, Ulf Leser, Maciej Malawski, Kshitij Mehta, Loïc Pottier, Jonathan Ozik, J. Luc Peterson, Lavanya Ramakrishnan, Stian Soiland-Reyes, Douglas Thain, Matthew Wolf
A Community Roadmap for Scientific Workflows Research and Development. WORKS (2021)
Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Dan Laney, Dong H. Ahn, Shantenu Jha, Carole A. Goble, Lavanya Ramakrishnan, J. Luc Peterson, Bjoern Enders, Douglas Thain, Ilkay Altintas, Yadu N. Babuji, Rosa M. Badia, Vivien Bonazzi, Tainã Coleman, Michael R. Crusoe, Ewa Deelman, Frank Di Natale, Paolo Di Tommaso, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Alex Ganose, Björn A. Grüning, Daniel S. Katz, Olga Kuchar, Ana Kupresanin, Bertram Ludäscher, Ketan Maheshwari, Marta Mattoso, Kshitij Mehta, Todd S. Munson, Jonathan Ozik, Tom Peterka, Loic Pottier, Tim Randles, Stian Soiland-Reyes, Benjamín Tovar, Matteo Turilli, Thomas D. Uram, Karan Vahi, Michael Wilde, Matthew Wolf, Justin M. Wozniak
Workflows Community Summit: Bringing the Scientific Workflows Community Together. CoRR (2021)
Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Tainã Coleman, Dan Laney, Dong H. Ahn, Shantenu Jha, Dorran Howell, Stian Soiland-Reyes, Ilkay Altintas, Douglas Thain, Rosa Filgueira, Yadu N. Babuji, Rosa M. Badia, Bartosz Balis, Silvina Caíno-Lores, Scott Callaghan, Frederik Coppens, Michael R. Crusoe, Kaushik De, Frank Di Natale, Tu Mai Anh Do, Bjoern Enders, Thomas Fahringer, Anne Fouilloux, Grigori Fursin, Alban Gaignard, Alex Ganose, Daniel Garijo, Sandra Gesing, Carole A. Goble, Adil Hasan, Sebastiaan Huber, Daniel S. Katz, Ulf Leser, Douglas Lowe, Bertram Ludäscher, Ketan Maheshwari, Maciej Malawski, Rajiv Mayani, Kshitij Mehta, André Merzky, Todd S. Munson, Jonathan Ozik, Loïc Pottier, Sashko Ristov, Mehdi Roozmeh, Renan Souza, Frédéric Suter, Benjamín Tovar, Matteo Turilli, Karan Vahi, Alvaro Vidal-Torreira, Wendy R. Whitcup, Michael Wilde, Alan Williams, Matthew Wolf, Justin M. Wozniak
Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development. CoRR (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 F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Junyi Guo, Xinyuan Huang, David Kanter, Satyananda Kashyap, Nicholas D. 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
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation. CoRR (2021)
Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Ilkay Altintas, Rosa M. Badia, Bartosz Balis, Tainã Coleman, Frederik Coppens, Frank Di Natale, Bjoern Enders, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Daniel Garijo, Carole A. Goble, Dorran Howell, Shantenu Jha, Daniel S. Katz, Daniel Laney, Ulf Leser, Maciej Malawski, Kshitij Mehta, Loïc Pottier, Jonathan Ozik, J. Luc Peterson, Lavanya Ramakrishnan, Stian Soiland-Reyes, Douglas Thain, Matthew Wolf
A Community Roadmap for Scientific Workflows Research and Development. CoRR (2021)
Grigori Fursin, Hervé Guillou, Nicolas Essayan
CodeReef: an open platform for portable MLOps, reusable automation actions and reproducible benchmarking. CoRR (2020)
Grigori Fursin
The Collective Knowledge project: making ML models more portable and reproducible with open APIs, reusable best practices and MLOps. CoRR (2020)
Grigori Fursin
Collective Knowledge: organizing research projects as a database of reusable components and portable workflows with common APIs. CoRR (2020)
Grigori Fursin
SysML'19 demo: customizable and reusable Collective Knowledge pipelines to automate and reproduce machine learning experiments. CoRR (2019)
Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Eric Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros G. 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 M. Hazelwood, Furong Huang, Martin Jaggi, Kevin G. Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konecný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Gordon Murray, Dimitris S. Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan R. Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric P. Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar
SysML: The New Frontier of Machine Learning Systems. CoRR (2019)
Grigori Fursin
Invited Talk Abstract: Introducing ReQuEST: An Open Platform for Reproducible and Quality-Efficient Systems-ML Tournaments. EMC2@ASPLOS (2018)
Anton Lokhmotov, Nikolay Chunosov, Flavio Vella, Grigori Fursin
Multi-objective autotuning of MobileNets across the full software/hardware stack. ReQuEST@ASPLOS (2018)
Grigori Fursin, Anton Lokhmotov, Dmitry Savenko, Eben Upton
A Collective Knowledge workflow for collaborative research into multi-objective autotuning and machine learning techniques. CoRR (2018)
Marco Cianfriglia, Flavio Vella, Cedric Nugteren, Anton Lokhmotov, Grigori Fursin
A model-driven approach for a new generation of adaptive libraries. CoRR (2018)
Thierry Moreau, Anton Lokhmotov, Grigori Fursin
Introducing ReQuEST: an Open Platform for Reproducible and Quality-Efficient Systems-ML Tournaments. CoRR (2018)
Grigori Fursin, Thierry Moreau, Hillery C. Hunter, Yiran Chen, Charles Qi, Tianqi Chen
PANEL: Open panel and discussion on tackling complexity, reproducibility and tech transfer challenges in a rapidly evolving AI/ML/systems research. ReQuEST@ASPLOS (2018)
Anton Lokhmotov, Grigori Fursin
Optimizing convolutional neural networks on embedded platforms with OpenCL. IWOCL (2016)
Grigori Fursin, Anton Lokhmotov, Ed Plowman
Collective Knowledge: Towards R&D sustainability. DATE (2016)
Anton Lokhmotov, Grigori Fursin
Benchmarking, autotuning and crowdtuning OpenCL programs using the Collective Knowledge framework. IWOCL (2016)
Bruce R. Childers, Grigori Fursin, Shriram Krishnamurthi, Andreas Zeller
Artifact Evaluation for Publications (Dagstuhl Perspectives Workshop 15452). Dagstuhl Reports 5 (11) (2015)
Grigori Fursin, Abdul Wahid Memon, Christophe Guillon, Anton Lokhmotov
Collective Mind, Part II: Towards Performance- and Cost-Aware Software Engineering as a Natural Science. CoRR (2015)
Christophe Dubach, Grigori Fursin
Proceedings of the 5th International Workshop on Adaptive Self-tuning Computing Systems 2015 (ADAPT'15). CoRR (2014)
Grigori Fursin, Renato Miceli, Anton Lokhmotov, Michael Gerndt, Marc Baboulin, Allen D. Malony, Zbigniew Chamski, Diego Novillo, Davide Del Vento
Collective mind: Towards practical and collaborative auto-tuning. Sci. Program. 22 (4) (2014)
Grigori Fursin, Christophe Dubach
Community-driven reviewing and validation of publications. CoRR (2014)
Grigori Fursin
Collective Tuning Initiative. CoRR (2014)
Grigori Fursin, Christophe Dubach
Community-driven reviewing and validation of publications. TRUST@PLDI (2014)
Lianjie Luo, Yang Chen, Chengyong Wu, Shun Long, Grigori Fursin
Finding representative sets of optimizations for adaptive multiversioning applications. CoRR (2014)
Abdul Wahid Memon, Grigori Fursin
Crowdtuning: systematizing auto-tuning using predictive modeling and crowdsourcing. PARCO (2013)
Grigori Fursin
Collective Mind: cleaning up the research and experimentation mess in computer engineering using crowdsourcing, big data and machine learning. CoRR (2013)
Yang Chen, Shuangde Fang, Yuanjie Huang, Lieven Eeckhout, Grigori Fursin, Olivier Temam, Chengyong Wu
Deconstructing iterative optimization. ACM Trans. Archit. Code Optim. 9 (3) (2012)
Grigori Fursin
Abstract: cTuning.org: Novel Extensible Methodology, Framework and Public Repository to Collaboratively Address Exascale Challenges. SC Companion (2012)
Grigori Fursin
Poster: Collective Tuning: Novel Extensible Methodology, Framework and Public Repository to Collaboratively Address Exascale Challenges. SC Companion (2012)
Grigori Fursin, Yuriy Kashnikov, Abdul Wahid Memon, Zbigniew Chamski, Olivier Temam, Mircea Namolaru, Elad Yom-Tov, Bilha Mendelson, Ayal Zaks, Eric Courtois, François Bodin, Phil Barnard, Elton Ashton, Edwin V. Bonilla, John Thomson, Christopher K. I. Williams, Michael F. P. O'Boyle
Milepost GCC: Machine Learning Enabled Self-tuning Compiler. Int. J. Parallel Program. 39 (3) (2011)
Yang Chen, Yuanjie Huang, Lieven Eeckhout, Grigori Fursin, Liang Peng, Olivier Temam, Chengyong Wu
Evaluating iterative optimization across 1000 datasets. PLDI (2010)
Grigori Fursin, Olivier Temam
Collective optimization: A practical collaborative approach. ACM Trans. Archit. Code Optim. 7 (4) (2010)
Mircea Namolaru, Albert Cohen, Grigori Fursin, Ayal Zaks, Ari Freund
Practical aggregation of semantical program properties for machine learning based optimization. CASES (2010)
Shun Long, Grigori Fursin
Systematic search within an optimisation space based on Unified Transformation Framework. Int. J. Comput. Sci. Eng. 4 (2) (2009)
Víctor J. Jiménez, Lluís Vilanova, Isaac Gelado, Marisa Gil, Grigori Fursin, Nacho Navarro
Predictive Runtime Code Scheduling for Heterogeneous Architectures. HiPEAC (2009)
John Thomson, Michael F. P. O'Boyle, Grigori Fursin, Björn Franke
Reducing Training Time in a One-Shot Machine Learning-Based Compiler. LCPC (2009)
Christophe Dubach, Timothy M. Jones, Edwin V. Bonilla, Grigori Fursin, Michael F. P. O'Boyle
Portable compiler optimisation across embedded programs and microarchitectures using machine learning. MICRO (2009)
Grigori Fursin, Olivier Temam
Collective Optimization. HiPEAC (2009)
Christophe Dubach, John Cavazos, Björn Franke, Grigori Fursin, Michael F. P. O'Boyle, Olivier Temam
Fast compiler optimisation evaluation using code-feature based performance prediction. Conf. Computing Frontiers (2007)
Grigori Fursin, Albert Cohen, Michael F. P. O'Boyle, Olivier Temam
Quick and Practical Run-Time Evaluation of Multiple Program Optimizations. Trans. High Perform. Embed. Archit. Compil. 1 (2007)
John Cavazos, Grigori Fursin, Felix V. Agakov, Edwin V. Bonilla, Michael F. P. O'Boyle, Olivier Temam
Rapidly Selecting Good Compiler Optimizations using Performance Counters. CGO (2007)
Shun Long, Grigori Fursin, Björn Franke
A Cost-Aware Parallel Workload Allocation Approach Based on Machine Learning Techniques. NPC (2007)
Grigori Fursin, John Cavazos, Michael F. P. O'Boyle, Olivier Temam
MiDataSets: Creating the Conditions for a More Realistic Evaluation of Iterative Optimization. HiPEAC (2007)
John Cavazos, Christophe Dubach, Felix V. Agakov, Edwin V. Bonilla, Michael F. P. O'Boyle, Grigori Fursin, Olivier Temam
Automatic performance model construction for the fast software exploration of new hardware designs. CASES (2006)
Felix V. Agakov, Edwin V. Bonilla, John Cavazos, Björn Franke, Grigori Fursin, Michael F. P. O'Boyle, John Thomson, Marc Toussaint, Christopher K. I. Williams
Using Machine Learning to Focus Iterative Optimization. CGO (2006)
Grigori Fursin, Albert Cohen, Michael F. P. O'Boyle, Olivier Temam
A Practical Method for Quickly Evaluating Program Optimizations. HiPEAC (2005)
Shun Long, Grigori Fursin
A Heuristic Search Algorithm Based on Unified Transformation Framework. ICPP Workshops (2005)
Björn Franke, Michael F. P. O'Boyle, John Thomson, Grigori Fursin
Probabilistic source-level optimisation of embedded programs. LCTES (2005)
Grigori Fursin, Michael F. P. O'Boyle, Olivier Temam, G. Watts
A fast and accurate method for determining a lower bound on execution time. Concurr. Comput. Pract. Exp. 16 (2-3) (2004)
Grigori Fursin, Michael F. P. O'Boyle, Peter M. W. Knijnenburg
Evaluating Iterative Compilation. LCPC (2002)

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Publication Activity (10 Years)

Top Topics

Top Venues

Grigori Fursin