Evgeny Bolotin

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All published works

Action	Title	Year	Authors
+	USING THE PYTHON IDLE DEVELOPMENT AND TRAINING ENVIRONMENT FOR STUDENTS TO LEARN PROBABILITYY	2023	Н.И. Попов Evgeny Bolotin
+ PDF Chat	GPU Domain Specialization via Composable On-Package Architecture	2021	Yaosheng Fu Evgeny Bolotin Niladrish Chatterjee David Nellans Stephen W. Keckler
+	GPU Domain Specialization via Composable On-Package Architecture	2021	Yaosheng Fu Evgeny Bolotin Niladrish Chatterjee David Nellans Stephen W. Keckler
+	The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems	2020	Ahmet Inci Evgeny Bolotin Yaosheng Fu Gal Dalal Shie Mannor David Nellans Diana Marculescu

Common Coauthors

Coauthor	Papers Together
Yaosheng Fu	3
David Nellans	3
Stephen W. Keckler	2
Niladrish Chatterjee	2
Shie Mannor	1
Diana Marculescu	1
Ahmet Inci	1
Gal Dalal	1
Н.И. Попов	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Deep Speech 2: End-to-End Speech Recognition in English and Mandarin	2015	Dario Amodei Rishita Anubhai Eric Battenberg Carl Case Jared Casper Bryan Catanzaro Jingdong Chen Mike Chrzanowski Adam Coates Greg Diamos	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Ternary Weight Networks	2016	Fengfu Li Bin Liu	1
+ PDF Chat	Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates	2017	Shixiang Gu Ethan Holly Timothy Lillicrap Sergey Levine	1
+	Neural Collaborative Filtering	2017	Xiangnan He Lizi Liao Hanwang Zhang Liqiang Nie Xia Hu Tat‐Seng Chua	1
+	In-Datacenter Performance Analysis of a Tensor Processing Unit	2017	Norman P. Jouppi Cliff Young Nishant Patil David A. Patterson Gaurav Agrawal Raminder Bajwa S. C. Bates Suresh Bhatia Nan Boden Al Borchers	1
+	StarCraft II: A New Challenge for Reinforcement Learning	2017	Oriol Vinyals Timo Ewalds Sergey Bartunov Petko Georgiev Alexander Sasha Vezhnevets Michelle Yeo Alireza Makhzani Heinrich Küttler John Agapiou Julian Schrittwieser	1
+	Accelerated Methods for Deep Reinforcement Learning	2018	Adam Stooke Pieter Abbeel	1
+	U-Net: Convolutional Networks for Biomedical Image Segmentation	2015	Olaf Ronneberger Philipp Fischer Thomas Brox	1
+ PDF Chat	In-Datacenter Performance Analysis of a Tensor Processing Unit	2017	Norman P. Jouppi Cliff Young Nishant Patil David A. Patterson Gaurav Agrawal Raminder Bajwa S. C. Bates Suresh Bhatia Nan Boden Al Borchers	1
+	Mixed Precision Training	2017	Paulius Micikevicius Sharan Narang Jonah Alben Gregory Diamos Erich Elsen David García Boris Ginsburg Michael Houston Oleksii Kuchaiev Ganesh Venkatesh	1
+	GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning	2018	Jacky Liang Viktor Makoviychuk Ankur Handa Nuttapong Chentanez Miles Macklin Dieter Fox	1
+ PDF Chat	Optimizing Multi-GPU Parallelization Strategies for Deep Learning Training	2019	Saptadeep Pal Eiman Ebrahimi Arslan Zulfiqar Yaosheng Fu Victor Zhang Szymon Migacz David Nellans Puneet Gupta	1
+	Dissecting the Graphcore IPU Architecture via Microbenchmarking	2019	Zhe Jia Blake Tillman Marco Maggioni Daniele Paolo Scarpazza	1
+	SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference	2019	Lasse Espeholt Raphaël Marinier Piotr Stańczyk Ke Wang Marcin Michalski	1
+	Scaling Laws for Neural Language Models	2020	Jared Kaplan Sam McCandlish Tom Henighan T. B. Brown Benjamin Chess Rewon Child Scott Gray Alec Radford Jeffrey Wu Dario Amodei	1
+	Agent57: Outperforming the Atari Human Benchmark	2020	Adrià Puigdomènech Badia Bilal Piot Steven Kapturowski Pablo Sprechmann Alex Vitvitskyi Daniel Guo Charles Blundell	1
+	Acme: A Research Framework for Distributed Reinforcement Learning	2020	Matt Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Feryal Behbahani Tamara Norman Abbas Abdolmaleki Albin Cassirer Fan Yang Kate Baumli	1
+ PDF Chat	MLPerf Inference Benchmark	2020	Vijay Janapa Reddi Christine Cheng David Kanter Peter Mattson Guenther Schmuelling Carole-Jean Wu Brian A. Anderson Maximilien Breughe Mark Charlebois William Chou	1
+ PDF Chat	Deep Reinforcement Learning framework for Autonomous Driving	2017	Ahmad El Sallab Mohammed Abdou Etienne Pérot Senthil Yogamani	1
+ PDF Chat	Accel-Sim: An Extensible Simulation Framework for Validated GPU Modeling	2020	Mahmoud Khairy Zhesheng Shen Tor M. Aamodt Timothy G. Rogers	1
+ PDF Chat	The Arcade Learning Environment: An Evaluation Platform for General Agents	2013	Marc G. Bellemare Yavar Naddaf Joel Veness Michael Bowling	1