Eric S. Chung

According to our database, Eric S. Chung authored at least 33 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Microscaling Data Formats for Deep Learning.

Bita Darvish Rouhani, Ritchie Zhao, Ankit More, Mathew Hall, Alireza Khodamoradi, Summer Deng, Dhruv Choudhary, Marius Cornea, Eric Dellinger, Kristof Denolf, Dusan Stosic, Venmugil Elango, Maximilian Golub, Alexander Heinecke, Phil James-Roxby, Dharmesh Jani, Gaurav Kolhe, Martin Langhammer, Ada Li, Levi Melnick, Maral Mesmakhosroshahi, Andres Rodriguez, Michael Schulte, Rasoul Shafipour, Lei Shao, Michael Y. Siu, Pradeep Dubey, Paulius Micikevicius, Maxim Naumov, Colin Verilli, Ralph Wittig, Doug Burger, Eric S. Chung

CoRR, 2023

Shared Microexponents: A Little Shifting Goes a Long Way.

Bita Rouhani, Ritchie Zhao, Venmugil Elango, Rasoul Shafipour, Mathew Hall, Maral Mesmakhosroshahi, Ankit More, Levi Melnick, Maximilian Golub, Girish Varatkar, Lei Shao, Gaurav Kolhe, Dimitry Melts, Jasmine Klar, Renee L'Heureux, Matt Perry, Doug Burger, Eric S. Chung, Zhaoxia Deng, Sam Naghshineh, Jongsoo Park, Maxim Naumov

CoRR, 2023

With Shared Microexponents, A Little Shifting Goes a Long Way.

Bita Darvish Rouhani, Ritchie Zhao, Venmugil Elango, Rasoul Shafipour, Mathew Hall, Maral Mesmakhosroshahi, Ankit More, Levi Melnick, Maximilian Golub, Girish Varatkar, Lai Shao, Gaurav Kolhe, Dimitry Melts, Jasmine Klar, Renee L'Heureux, Matt Perry, Doug Burger, Eric S. Chung, Zhaoxia (Summer) Deng, Sam Naghshineh, Jongsoo Park, Maxim Naumov

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

2020

Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point.

Bita Darvish Rouhani, Daniel Lo, Ritchie Zhao, Ming Liu, Jeremy Fowers, Kalin Ovtcharov, Anna Vinogradsky, Sarah Massengill, Lita Yang, Ray Bittner, Alessandro Forin, Haishan Zhu, Taesik Na, Prerak Patel, Shuai Che, Lok Chand Koppaka, Xia Song, Subhojit Som, Kaustav Das, Saurabh Tiwary, Steven K. Reinhardt, Sitaram Lanka, Eric S. Chung, Doug Burger

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Inside Project Brainwave's Cloud-Scale, Real-Time AI Processor.

Jeremy Fowers, Kalin Ovtcharov, Michael K. Papamichael, Todd Massengill, Ming Liu, Daniel Lo, Shlomi Alkalay, Michael Haselman, Logan Adams, Mahdi Ghandi, Stephen Heil, Prerak Patel, Adam Sapek, Gabriel Weisz, Lisa Woods, Sitaram Lanka, Steven K. Reinhardt, Adrian M. Caulfield, Eric S. Chung, Doug Burger

IEEE Micro, 2019

SysML: The New Frontier of Machine Learning Systems.

Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Eric S. 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

CoRR, 2019

2018

Serving DNNs in Real Time at Datacenter Scale with Project Brainwave.

Eric S. Chung, Jeremy Fowers, Kalin Ovtcharov, Michael Papamichael, Adrian M. Caulfield, Todd Massengill, Ming Liu, Daniel Lo, Shlomi Alkalay, Michael Haselman, Maleen Abeydeera, Logan Adams, Hari Angepat, Christian Boehn, Derek Chiou, Oren Firestein, Alessandro Forin, Kang Su Gatlin, Mahdi Ghandi, Stephen Heil, Kyle Holohan, Ahmad El Husseini, Tamás Juhász, Kara Kagi, Ratna Kovvuri, Sitaram Lanka, Friedel van Megen, Dima Mukhortov, Prerak Patel, Brandon Perez, Amanda Rapsang, Steven K. Reinhardt, Bita Rouhani, Adam Sapek, Raja Seera, Sangeetha Shekar, Balaji Sridharan, Gabriel Weisz, Lisa Woods, Phillip Yi Xiao, Dan Zhang, Ritchie Zhao, Doug Burger

IEEE Micro, 2018

Azure Accelerated Networking: SmartNICs in the Public Cloud.

Daniel Firestone, Andrew Putnam, Sambrama Mundkur, Derek Chiou, Alireza Dabagh, Mike Andrewartha, Hari Angepat, Vivek Bhanu, Adrian M. Caulfield, Eric S. Chung, Harish Kumar Chandrappa, Somesh Chaturmohta, Matt Humphrey, Jack Lavier, Norman Lam, Fengfen Liu, Kalin Ovtcharov, Jitu Padhye, Gautham Popuri, Shachar Raindel, Tejas Sapre, Mark Shaw, Gabriel Silva, Madhan Sivakumar, Nisheeth Srivastava, Anshuman Verma, Qasim Zuhair, Deepak Bansal, Doug Burger, Kushagra Vaid, David A. Maltz, Albert G. Greenberg

Proceedings of the 15th USENIX Symposium on Networked Systems Design and Implementation, 2018

A Configurable Cloud-Scale DNN Processor for Real-Time AI.

Jeremy Fowers, Kalin Ovtcharov, Michael Papamichael, Todd Massengill, Ming Liu, Daniel Lo, Shlomi Alkalay, Michael Haselman, Logan Adams, Mahdi Ghandi, Stephen Heil, Prerak Patel, Adam Sapek, Gabriel Weisz, Lisa Woods, Sitaram Lanka, Steven K. Reinhardt, Adrian M. Caulfield, Eric S. Chung, Doug Burger

Proceedings of the 45th ACM/IEEE Annual International Symposium on Computer Architecture, 2018

2017

Configurable Clouds.

Adrian M. Caulfield, Eric S. Chung, Andrew Putnam, Hari Angepat, Daniel Firestone, Jeremy Fowers, Michael Haselman, Stephen Heil, Matt Humphrey, Puneet Kaur, Joo-Young Kim, Daniel Lo, Todd Massengill, Kalin Ovtcharov, Michael Papamichael, Lisa Woods, Sitaram Lanka, Derek Chiou, Doug Burger

IEEE Micro, 2017

Deep Learning in the Enhanced Cloud.

Eric S. Chung

Proceedings of the 2017 ACM on International Symposium on Physical Design, 2017

2016

A cloud-scale acceleration architecture.

Adrian M. Caulfield, Eric S. Chung, Andrew Putnam, Hari Angepat, Jeremy Fowers, Michael Haselman, Stephen Heil, Matt Humphrey, Puneet Kaur, Joo-Young Kim, Daniel Lo, Todd Massengill, Kalin Ovtcharov, Michael Papamichael, Lisa Woods, Sitaram Lanka, Derek Chiou, Doug Burger

Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture, 2016

Agile Co-Design for a Reconfigurable Datacenter.

Shlomi Alkalay, Hari Angepat, Adrian M. Caulfield, Eric S. Chung, Oren Firestein, Michael Haselman, Stephen Heil, Kyle Holohan, Matt Humphrey, Tamás Juhász, Puneet Kaur, Sitaram Lanka, Daniel Lo, Todd Massengill, Kalin Ovtcharov, Michael Papamichael, Andrew Putnam, Raja Seera, Rimon Tadros, Jason Thong, Lisa Woods, Derek Chiou, Doug Burger

Proceedings of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2016

2015

A Reconfigurable Fabric for Accelerating Large-Scale Datacenter Services.

Andrew Putnam, Adrian M. Caulfield, Eric S. Chung, Derek Chiou, Kypros Constantinides, John Demme, Hadi Esmaeilzadeh, Jeremy Fowers, Gopi Prashanth Gopal, Jan Gray, Michael Haselman, Scott Hauck, Stephen Heil, Amir Hormati, Joo-Young Kim, Sitaram Lanka, James R. Larus, Eric Peterson, Simon Pope, Aaron Smith, Jason Thong, Phillip Yi Xiao, Doug Burger

IEEE Micro, 2015

Toward accelerating deep learning at scale using specialized hardware in the datacenter.

Kalin Ovtcharov, Olatunji Ruwase, Joo-Young Kim, Jeremy Fowers, Karin Strauss, Eric S. Chung

Proceedings of the 2015 IEEE Hot Chips 27 Symposium (HCS), 2015

2014

FPGA-Accelerated Simulation of Computer Systems

Hari Angepat, Derek Chiou, Eric S. Chung, James C. Hoe

Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers, ISBN: 978-3-031-01744-5, 2014

A High Memory Bandwidth FPGA Accelerator for Sparse Matrix-Vector Multiplication.

Jeremy Fowers, Kalin Ovtcharov, Karin Strauss, Eric S. Chung, Greg Stitt

Proceedings of the 22nd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2014

2013

LINQits: big data on little clients.

Eric S. Chung, John D. Davis, Jaewon Lee

Proceedings of the 40th Annual International Symposium on Computer Architecture, 2013

Cross-platform FPGA accelerator development using CoRAM and CONNECT.

Eric S. Chung, Michael Papamichael, Gabriel Weisz, James C. Hoe

Proceedings of the 2013 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2013

Towards automatic customization of interconnect and memory in the CoRAM abstraction (abstract only).

Eric S. Chung, Michael Papamichael

Proceedings of the 2013 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2013

ShrinkWrap: Compiler-Enabled Optimization and Customization of Soft Memory Interconnects.

Eric S. Chung, Michael Papamichael

Proceedings of the 21st IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2013

Reconfigurable computing in the era of post-silicon scaling [panel discussion].

Eric S. Chung, Doug Burger, Mike Butts, Jan Gray, Chuck Thacker, Kees A. Vissers, John Wawrzynek

Proceedings of the 21st IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2013

2012

Prototype and evaluation of the CoRAM memory architecture for FPGA-based computing.

Eric S. Chung, Michael Papamichael, Gabriel Weisz, James C. Hoe, Ken Mai

Proceedings of the ACM/SIGDA 20th International Symposium on Field Programmable Gate Arrays, 2012

Towards a Universal FPGA Matrix-Vector Multiplication Architecture.

Srinidhi Kestur, John D. Davis, Eric S. Chung

Proceedings of the 2012 IEEE 20th Annual International Symposium on Field-Programmable Custom Computing Machines, 2012

2011

CoRAM: an in-fabric memory architecture for FPGA-based computing.

Eric S. Chung, James C. Hoe, Ken Mai

Proceedings of the ACM/SIGDA 19th International Symposium on Field Programmable Gate Arrays, 2011

2010

High-Level Design and Validation of the BlueSPARC Multithreaded Processor.

Eric S. Chung, James C. Hoe

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2010

Single-Chip Heterogeneous Computing: Does the Future Include Custom Logic, FPGAs, and GPGPUs?

Eric S. Chung, Peter A. Milder, James C. Hoe, Ken Mai

Proceedings of the 43rd Annual IEEE/ACM International Symposium on Microarchitecture, 2010

2009

ProtoFlex: Towards Scalable, Full-System Multiprocessor Simulations Using FPGAs.

Eric S. Chung, Michael Papamichael, Eriko Nurvitadhi, James C. Hoe, Ken Mai, Babak Falsafi

ACM Trans. Reconfigurable Technol. Syst., 2009

Implementing a high-performance multithreaded microprocessor: A case study in high-level design and validation.

Eric S. Chung, James C. Hoe

Proceedings of the 7th ACM/IEEE International Conference on Formal Methods and Models for Codesign (MEMOCODE 2009), 2009

2008

A complexity-effective architecture for accelerating full-system multiprocessor simulations using FPGAs.

Eric S. Chung, Eriko Nurvitadhi, James C. Hoe, Babak Falsafi, Ken Mai

Proceedings of the ACM/SIGDA 16th International Symposium on Field Programmable Gate Arrays, 2008

2007

PROToFLEX: FPGA-accelerated Hybrid Functional Simulator.

Eric S. Chung, Eriko Nurvitadhi, James C. Hoe, Babak Falsafi, Ken Mai

Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007

2005

TRUSS: A Reliable, Scalable Server Architecture.

Brian T. Gold, Jangwoo Kim, Jared C. Smolens, Eric S. Chung, Vasileios Liaskovitis, Eriko Nurvitadhi, Babak Falsafi, James C. Hoe, Andreas Nowatzyk

IEEE Micro, 2005

2004

Development and evaluation of emerging design patterns for ubiquitous computing.

Eric S. Chung, Jason I. Hong, James Lin, Madhu K. Prabaker, James A. Landay, Alan L. Liu

Proceedings of the Conference on Designing Interactive Systems: Processes, 2004