Grigori Fursin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
9
Active years
2006–2025
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | HPCA | MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from μWatts to MWatts for Sustainable AI. | Arya Tschand, Arun Tejusve Raghunath Rajan, Sachin Idgunji, Anirban Ghosh, Jeremy Holleman, Csaba Kirly, Pawan Ambalkar, Ritika Borkar, Ramesh Chukka, Trevor Cockrell, Oliver Curtis, Grigori Fursin, Miro Hodak, Hiwot Kassa, Anton Lokhmotov, Dejan Miskovic, Yuechao Pan, Manu Prasad Manmathan, Liz Raymond, Tom St. John, Arjun Suresh, Rowan Taubitz, Sean Zhan, Scott Wasson, David Kanter, Vijay Janapa Reddi |
| 2018 | ASPLOS | PANEL: Open panel and discussion on tackling complexity, reproducibility and tech transfer challenges in a rapidly evolving AI/ML/systems research. | Grigori Fursin, Thierry Moreau, Hillery C. Hunter, Yiran Chen, Charles Qi, Tianqi Chen |
| 2018 | ASPLOS | Multi-objective autotuning of MobileNets across the full software/hardware stack. | Anton Lokhmotov, Nikolay Chunosov, Flavio Vella, Grigori Fursin |
| 2016 | DATE | Collective Knowledge: Towards R&D sustainability. | Grigori Fursin, Anton Lokhmotov, Ed Plowman |
| 2014 | PLDI | Community-driven reviewing and validation of publications. | Grigori Fursin, Christophe Dubach |
| 2012 | SC | Abstract: cTuning.org: Novel Extensible Methodology, Framework and Public Repository to Collaboratively Address Exascale Challenges. | Grigori Fursin |
| 2012 | SC | Poster: Collective Tuning: Novel Extensible Methodology, Framework and Public Repository to Collaboratively Address Exascale Challenges. | Grigori Fursin |
| 2010 | CASES | Practical aggregation of semantical program properties for machine learning based optimization. | Mircea Namolaru, Albert Cohen, Grigori Fursin, Ayal Zaks, Ari Freund |
| 2010 | PLDI | Evaluating iterative optimization across 1000 datasets. | Yang Chen, Yuanjie Huang, Lieven Eeckhout, Grigori Fursin, Liang Peng, Olivier Temam, Chengyong Wu |
| 2009 | MICRO | Portable compiler optimisation across embedded programs and microarchitectures using machine learning. | Christophe Dubach, Timothy M. Jones, Edwin V. Bonilla, Grigori Fursin, Michael F. P. O'Boyle |
| 2007 | CGO | Rapidly Selecting Good Compiler Optimizations using Performance Counters. | John Cavazos, Grigori Fursin, Felix V. Agakov, Edwin V. Bonilla, Michael F. P. O'Boyle, Olivier Temam |
| 2007 | NPC | A Cost-Aware Parallel Workload Allocation Approach Based on Machine Learning Techniques. | Shun Long, Grigori Fursin, Bjrn Franke |
| 2006 | CASES | Automatic performance model construction for the fast software exploration of new hardware designs. | John Cavazos, Christophe Dubach, Felix V. Agakov, Edwin V. Bonilla, Michael F. P. O'Boyle, Grigori Fursin, Olivier Temam |
| 2006 | CGO | Using Machine Learning to Focus Iterative Optimization. | Felix V. Agakov, Edwin V. Bonilla, John Cavazos, Bjrn Franke, Grigori Fursin, Michael F. P. O'Boyle, John Thomson, Marc Toussaint, Christopher K. I. Williams |