Grigori Fursin
Orcid: 0000-0001-7719-1624
According to our database1,
Grigori Fursin
authored at least 55 papers
between 2002 and 2024.
Collaborative distances:
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Bibliography
2024
Enabling more efficient and cost-effective AI/ML systems with Collective Mind, virtualized MLOps, MLPerf, Collective Knowledge Playground and reproducible optimization tournaments.
CoRR, 2024
2023
Nat. Mac. Intell., July, 2023
2021
On the Anatomy of Predictive Models for Accelerating GPU Convolution Kernels and Beyond.
ACM Trans. Archit. Code Optim., 2021
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation.
CoRR, 2021
Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development.
CoRR, 2021
CoRR, 2021
Proceedings of the 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 2021
2020
Collective Knowledge: organizing research projects as a database of reusable components and portable workflows with common APIs.
CoRR, 2020
The Collective Knowledge project: making ML models more portable and reproducible with open APIs, reusable best practices and MLOps.
CoRR, 2020
CodeReef: an open platform for portable MLOps, reusable automation actions and reproducible benchmarking.
CoRR, 2020
2019
SysML'19 demo: customizable and reusable Collective Knowledge pipelines to automate and reproduce machine learning experiments.
CoRR, 2019
2018
A Collective Knowledge workflow for collaborative research into multi-objective autotuning and machine learning techniques.
CoRR, 2018
Introducing ReQuEST: an Open Platform for Reproducible and Quality-Efficient Systems-ML Tournaments.
CoRR, 2018
Invited Talk Abstract: Introducing ReQuEST: An Open Platform for Reproducible and Quality-Efficient Systems-ML Tournaments.
Proceedings of the 1st Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications, 2018
Proceedings of the 1st on Reproducible Quality-Efficient Systems Tournament on Co-designing Pareto-efficient Deep Learning, 2018
PANEL: Open panel and discussion on tackling complexity, reproducibility and tech transfer challenges in a rapidly evolving AI/ML/systems research.
Proceedings of the 1st on Reproducible Quality-Efficient Systems Tournament on Co-designing Pareto-efficient Deep Learning, 2018
2016
Benchmarking, autotuning and crowdtuning OpenCL programs using the Collective Knowledge framework.
Proceedings of the 4th International Workshop on OpenCL, 2016
Proceedings of the 4th International Workshop on OpenCL, 2016
Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016
2015
Dagstuhl Reports, 2015
Collective Mind, Part II: Towards Performance- and Cost-Aware Software Engineering as a Natural Science.
CoRR, 2015
2014
Sci. Program., 2014
Finding representative sets of optimizations for adaptive multiversioning applications.
CoRR, 2014
Proceedings of the 5th International Workshop on Adaptive Self-tuning Computing Systems 2015 (ADAPT'15).
CoRR, 2014
Proceedings of the 1st ACM SIGPLAN Workshop on Reproducible Research Methodologies and New Publication Models in Computer Engineering, 2014
2013
Collective Mind: cleaning up the research and experimentation mess in computer engineering using crowdsourcing, big data and machine learning.
CoRR, 2013
Proceedings of the Parallel Computing: Accelerating Computational Science and Engineering (CSE), 2013
2012
Poster: Collective Tuning: Novel Extensible Methodology, Framework and Public Repository to Collaboratively Address Exascale Challenges.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012
Abstract: cTuning.org: Novel Extensible Methodology, Framework and Public Repository to Collaboratively Address Exascale Challenges.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012
2011
Int. J. Parallel Program., 2011
2010
ACM Trans. Archit. Code Optim., 2010
Proceedings of the 2010 ACM SIGPLAN Conference on Programming Language Design and Implementation, 2010
Practical aggregation of semantical program properties for machine learning based optimization.
Proceedings of the 2010 International Conference on Compilers, 2010
2009
Systematic search within an optimisation space based on Unified Transformation Framework.
Int. J. Comput. Sci. Eng., 2009
Portable compiler optimisation across embedded programs and microarchitectures using machine learning.
Proceedings of the 42st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO-42 2009), 2009
Proceedings of the Languages and Compilers for Parallel Computing, 2009
Proceedings of the High Performance Embedded Architectures and Compilers, 2009
Proceedings of the High Performance Embedded Architectures and Compilers, 2009
2007
Trans. High Perform. Embed. Archit. Compil., 2007
A Cost-Aware Parallel Workload Allocation Approach Based on Machine Learning Techniques.
Proceedings of the Network and Parallel Computing, IFIP International Conference, 2007
MiDataSets: Creating the Conditions for a More Realistic Evaluation of Iterative Optimization.
Proceedings of the High Performance Embedded Architectures and Compilers, 2007
Proceedings of the Fifth International Symposium on Code Generation and Optimization (CGO 2007), 2007
Fast compiler optimisation evaluation using code-feature based performance prediction.
Proceedings of the 4th Conference on Computing Frontiers, 2007
2006
Proceedings of the Fourth IEEE/ACM International Symposium on Code Generation and Optimization (CGO 2006), 2006
Automatic performance model construction for the fast software exploration of new hardware designs.
Proceedings of the 2006 International Conference on Compilers, 2006
2005
Proceedings of the 2005 ACM SIGPLAN/SIGBED Conference on Languages, 2005
Proceedings of the 34th International Conference on Parallel Processing Workshops (ICPP 2005 Workshops), 2005
Proceedings of the High Performance Embedded Architectures and Compilers, 2005
2004
PhD thesis, 2004
Concurr. Comput. Pract. Exp., 2004
2002
Proceedings of the Languages and Compilers for Parallel Computing, 15th Workshop, 2002