Jeremy Fowers

Publication Activity (10 Years)

Years Active: 2012-2022
Publications (10 Years): 9

Top Topics

Feature Tracking

Top Venues

Publications

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, Adrian Macias, Chetan Tekur, Matthew Boyd
A Comprehensive Evaluation of Novel AI Accelerators for Deep Learning Workloads. PMBS@SC (2022)
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
A software-defined tensor streaming multiprocessor for large-scale machine learning. ISCA (2022)
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 T., Steven K. Reinhardt, Sitaram Lanka, Eric S. Chung, Doug Burger
Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point. NeurIPS (2020)
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
Inside Project Brainwave's Cloud-Scale, Real-Time AI Processor. IEEE Micro 39 (3) (2019)
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
Serving DNNs in Real Time at Datacenter Scale with Project Brainwave. IEEE Micro 38 (2) (2018)
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
A Configurable Cloud-Scale DNN Processor for Real-Time AI. ISCA (2018)
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
Configurable Clouds. IEEE Micro 37 (3) (2017)
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
A reconfigurable fabric for accelerating large-scale datacenter services. Commun. ACM 59 (11) (2016)
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
A cloud-scale acceleration architecture. MICRO (2016)
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
A Reconfigurable Fabric for Accelerating Large-Scale Datacenter Services. IEEE Micro 35 (3) (2015)
Kalin Ovtcharov, Olatunji Ruwase, Joo-Young Kim, Jeremy Fowers, Karin Strauss, Eric S. Chung
Toward accelerating deep learning at scale using specialized hardware in the datacenter. Hot Chips Symposium (2015)
Jeremy Fowers, Joo-Young Kim, Doug Burger, Scott Hauck
A Scalable High-Bandwidth Architecture for Lossless Compression on FPGAs. FCCM (2015)
Patrick Cooke, Jeremy Fowers, Greg Brown, Greg Stitt
A Tradeoff Analysis of FPGAs, GPUs, and Multicores for Sliding-Window Applications. ACM Trans. Reconfigurable Technol. Syst. 8 (1) (2015)
Jeremy Fowers, Jianye Liu, Greg Stitt
A framework for dynamic parallelization of FPGA-accelerated applications. SCOPES (2014)
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
A reconfigurable fabric for accelerating large-scale datacenter services. ISCA (2014)
Jeremy Fowers, Kalin Ovtcharov, Karin Strauss, Eric S. Chung, Greg Stitt
A High Memory Bandwidth FPGA Accelerator for Sparse Matrix-Vector Multiplication. FCCM (2014)
Jeremy Fowers, Greg Stitt
Dynafuse: dynamic dependence analysis for FPGA pipeline fusion and locality optimizations. FPGA (2013)
Jeremy Fowers, Greg Brown, John Robert Wernsing, Greg Stitt
A performance and energy comparison of convolution on GPUs, FPGAs, and multicore processors. ACM Trans. Archit. Code Optim. 9 (4) (2013)
Patrick Cooke, Jeremy Fowers, Greg Stitt, Lee Hunt
A comparison of correntropy-based feature tracking on FPGAs and GPUs. ASAP (2013)
Patrick Cooke, Jeremy Fowers, Lee Hunt, Greg Stitt
A high-performance, low-energy FPGA accelerator for correntropy-based feature tracking (abstract only). FPGA (2013)
John Robert Wernsing, Greg Stitt, Jeremy Fowers
The RACECAR heuristic for automatic function specialization on multi-core heterogeneous systems. CASES (2012)
Jeremy Fowers, Greg Brown, Patrick Cooke, Greg Stitt
A performance and energy comparison of FPGAs, GPUs, and multicores for sliding-window applications. FPGA (2012)