Jeremy Fowers

22 papers A* 5A 3C 1Misc 3Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2022 — conf
A Comprehensive Evaluation of Novel AI Accelerators for Deep Learning Workloads.
PMBS@SC
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
2022 A* conf
A software-defined tensor streaming multiprocessor for large-scale machine learning.
ISCA
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
2020 A* conf
Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point.
NeurIPS
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
2019 J jnl
Inside Project Brainwave's Cloud-Scale, Real-Time AI Processor.
IEEE Micro
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
2018 A* conf
A Configurable Cloud-Scale DNN Processor for Real-Time AI.
ISCA
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
2018 J jnl
Serving DNNs in Real Time at Datacenter Scale with Project Brainwave.
IEEE Micro
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
2017 J jnl
Configurable Clouds.
IEEE Micro
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
2016 A* conf
A cloud-scale acceleration architecture.
MICRO
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
2016 J jnl
A reconfigurable fabric for accelerating large-scale datacenter services.
Commun. ACM
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
2015 J jnl
A Reconfigurable Fabric for Accelerating Large-Scale Datacenter Services.
IEEE Micro
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
2015 Misc conf
A Scalable High-Bandwidth Architecture for Lossless Compression on FPGAs.
FCCM
Jeremy Fowers, Joo-Young Kim, Doug Burger, Scott Hauck
2015 J jnl
A Tradeoff Analysis of FPGAs, GPUs, and Multicores for Sliding-Window Applications.
ACM Trans. Reconfigurable Technol. Syst.
Patrick Cooke, Jeremy Fowers, Greg Brown, Greg Stitt
2015 — conf
Toward accelerating deep learning at scale using specialized hardware in the datacenter.
Hot Chips Symposium
Kalin Ovtcharov, Olatunji Ruwase, Joo-Young Kim, Jeremy Fowers, Karin Strauss, Eric S. Chung
2014 Misc conf
A High Memory Bandwidth FPGA Accelerator for Sparse Matrix-Vector Multiplication.
FCCM
Jeremy Fowers, Kalin Ovtcharov, Karin Strauss, Eric S. Chung, Greg Stitt
2014 C conf
A framework for dynamic parallelization of FPGA-accelerated applications.
SCOPES
Jeremy Fowers, Jianye Liu, Greg Stitt
2014 A* conf
A reconfigurable fabric for accelerating large-scale datacenter services.
ISCA
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
2013 — conf
A comparison of correntropy-based feature tracking on FPGAs and GPUs.
ASAP
Patrick Cooke, Jeremy Fowers, Greg Stitt, Lee Hunt
2013 A conf
A high-performance, low-energy FPGA accelerator for correntropy-based feature tracking (abstract only).
FPGA
Patrick Cooke, Jeremy Fowers, Lee Hunt, Greg Stitt
2013 J jnl
A performance and energy comparison of convolution on GPUs, FPGAs, and multicore processors.
ACM Trans. Archit. Code Optim.
Jeremy Fowers, Greg Brown, John Robert Wernsing, Greg Stitt
2013 A conf
Dynafuse: dynamic dependence analysis for FPGA pipeline fusion and locality optimizations.
FPGA
Jeremy Fowers, Greg Stitt
2012 A conf
A performance and energy comparison of FPGAs, GPUs, and multicores for sliding-window applications.
FPGA
Jeremy Fowers, Greg Brown, Patrick Cooke, Greg Stitt
2012 Misc conf
The RACECAR heuristic for automatic function specialization on multi-core heterogeneous systems.
CASES
John Robert Wernsing, Greg Stitt, Jeremy Fowers