Jeremy Fowers

According to our database, Jeremy Fowers authored at least 20 papers between 2012 and 2022.

Collaborative distances:

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

2022

A Comprehensive Evaluation of Novel AI Accelerators for Deep Learning Workloads.

Murali Emani, Zhen Xie, Siddhisanket Raskar, Varuni Sastry, William Arnold, Bruce Wilson, Rajeev Thakur, Venkatram Vishwanath, Zhengchun Liu, Michael E. Papka, Cindy Orozco Bohorquez, Rick Weisner, Karen Li, Yongning Sheng, Yun Du, Jian Zhang, Alexander Tsyplikhin, Gurdaman Khaira, Jeremy Fowers, Ramakrishnan Sivakumar, Victoria Godsoe, Adrián Macías, Chetan Tekur, Matthew Boyd

Proceedings of the IEEE/ACM International Workshop on Performance Modeling, 2022

A software-defined tensor streaming multiprocessor for large-scale machine learning.

Dennis Abts, Garrin Kimmell, Andrew C. Ling, John Kim, Matthew Boyd, Andrew Bitar, Sahil Parmar, Ibrahim Ahmed, Roberto DiCecco, David Han, John Thompson, Michael Bye, Jennifer Hwang, Jeremy Fowers, Peter Lillian, Ashwin Murthy, Elyas Mehtabuddin, Chetan Tekur, Thomas Sohmers, Kris Kang, Stephen Maresh, Jonathan Ross

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

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

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

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

2016

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

Commun. ACM, 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

2015

A Tradeoff Analysis of FPGAs, GPUs, and Multicores for Sliding-Window Applications.

Patrick Cooke, Jeremy Fowers, Greg Brown, Greg Stitt

ACM Trans. Reconfigurable Technol. Syst., 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

A Scalable High-Bandwidth Architecture for Lossless Compression on FPGAs.

Jeremy Fowers, Joo-Young Kim, Doug Burger, Scott Hauck

Proceedings of the 23rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2015

2014

A framework for dynamic parallelization of FPGA-accelerated applications.

Jeremy Fowers, Jianye Liu, Greg Stitt

Proceedings of the 17th International Workshop on Software and Compilers for Embedded Systems, 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

A performance and energy comparison of convolution on GPUs, FPGAs, and multicore processors.

Jeremy Fowers, Greg Brown, John Robert Wernsing, Greg Stitt

ACM Trans. Archit. Code Optim., 2013

Dynafuse: dynamic dependence analysis for FPGA pipeline fusion and locality optimizations.

Jeremy Fowers, Greg Stitt

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

A high-performance, low-energy FPGA accelerator for correntropy-based feature tracking (abstract only).

Patrick Cooke, Jeremy Fowers, Lee Hunt, Greg Stitt

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

A comparison of correntropy-based feature tracking on FPGAs and GPUs.

Patrick Cooke, Jeremy Fowers, Greg Stitt, Lee Hunt

Proceedings of the 24th International Conference on Application-Specific Systems, 2013

2012

A performance and energy comparison of FPGAs, GPUs, and multicores for sliding-window applications.

Jeremy Fowers, Greg Brown, Patrick Cooke, Greg Stitt

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

The RACECAR heuristic for automatic function specialization on multi-core heterogeneous systems.

John Robert Wernsing, Greg Stitt, Jeremy Fowers

Proceedings of the 15th International Conference on Compilers, 2012