( en | de | ru )

 

Disambiguation of "Fursin, Grigori"

Author of the publication

copydeleteadd this publication to your clipboard
PANEL: Open panel and discussion on tackling complexity, reproducibility and tech transfer challenges in a rapidly evolving AI/ML/systems research.

, , , , , and . ReQuEST@ASPLOS, page 7. ACM, (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Grigori Fursin

Grigori Katsakoulis

Grigori Winer

Artur Grigori

Grigori German

 

Other publications of authors with the same name

The Collective Knowledge project: making ML models more portable and reproducible with open APIs, reusable best practices and MLOps.. CoRR, (2020)Invited Talk Abstract: Introducing ReQuEST: An Open Platform for Reproducible and Quality-Efficient Systems-ML Tournaments.. EMC2@ASPLOS, page 3. IEEE, (2018)PANEL: Open panel and discussion on tackling complexity, reproducibility and tech transfer challenges in a rapidly evolving AI/ML/systems research., , , , , and . ReQuEST@ASPLOS, page 7. ACM, (2018)Dagstuhl Reports, Vol. 5, Issue 11 ISSN 2192-5283, , , , , , , , , and 1 other author(s). (2016)Federated benchmarking of medical artificial intelligence with MedPerf., , , , , , , , , and 64 other author(s). Nat. Mac. Intell., 5 (7): 799-810 (July 2023)Quick and Practical Run-Time Evaluation of Multiple Program Optimizations., , , and . Trans. High Perform. Embed. Archit. Compil., (2007)Collective Knowledge: Towards R&D sustainability., , and . DATE, page 864-869. IEEE, (2016)A Practical Method for Quickly Evaluating Program Optimizations., , , and . HiPEAC, volume 3793 of Lecture Notes in Computer Science, page 29-46. Springer, (2005)Workflows Community Summit: Bringing the Scientific Workflows Community Together., , , , , , , , , and 35 other author(s). CoRR, (2021)On the Anatomy of Predictive Models for Accelerating GPU Convolution Kernels and Beyond., , , , , , , , , and . ACM Trans. Archit. Code Optim., 18 (1): 16:1-16:24 (2021)