Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Eric S. Chung"'
Autor:
Prerak Patel, Gabriel Weisz, Kalin Ovtcharov, Lo Daniel, Doug Burger, Shlomi Alkalay, Stephen F. Heil, Adam Sapek, Michael Haselman, Steven K. Reinhardt, Todd Massengill, Jeremy Fowers, Eric S. Chung, Michael K. Papamichael, Adrian M. Caulfield, Logan Adams, Sitaram Lanka, Ming Liu, Lisa Woods, Mahdi Ghandi
Publikováno v:
IEEE Micro. 39:20-28
Growing computational demands from deep neural networks (DNNs), coupled with diminishing returns from general-purpose architectures, have led to a proliferation of Neural Processing Units (NPUs). This paper describes the Project Brainwave NPU (BW-NPU
Autor:
Friedel van Megen, Oren Firestein, Bita Darvish Rouhani, Mahdi Ghandi, Christian Boehn, Prerak Patel, Kara Kagi, Hari Angepat, Doug Burger, Brandon Perez, Raja Seera, Tamas Juhasz, Jeremy Fowers, Shlomi Alkalay, Logan Adams, Gabriel Weisz, Balaji Sridharan, Sangeetha Shekar, Kyle Holohan, Ritchie Zhao, Amanda Rapsang, Ahmad M. El Husseini, Adam Sapek, Todd Massengill, Kalin Ovtcharov, Sitaram Lanka, Dan Zhang, Michael K. Papamichael, Derek Chiou, Lo Daniel, Michael Haselman, Lisa Woods, Kang Su Gatlin, Maleen Abeydeera, Phillip Yi Xiao, Steven K. Reinhardt, Adrian M. Caulfield, Eric S. Chung, Alessandro Forin, Stephen F. Heil, Ratna Kumar Kovvuri, Dima Mukhortov, Ming Liu
Publikováno v:
IEEE Micro. 38:8-20
To meet the computational demands required of deep learning, cloud operators are turning toward specialized hardware for improved efficiency and performance. Project Brainwave, Microsofts principal infrastructure for AI serving in real time, accelera
To date, the most common form of simulators of computer systems are software-based running on standard computers. One promising approach to improve simulation performance is to apply hardware, specifically reconfigurable hardware in the form of field
Autor:
Hari Angepat, Eric S. Chung, Stephen F. Heil, Todd Massengill, Doug Burger, Matt Humphrey, Joo-Young Kim, Andrew Putnam, Adrian M. Caulfield, Derek Chiou, Lisa Woods, Jeremy Fowers, Sitaram Lanka, Daniel Firestone, Puneet Kaur, Kalin Ovtcharov, Lo Daniel, Michael K. Papamichael, Michael Haselman
Publikováno v:
IEEE Micro. 37:52-61
Hyperscale datacenter providers have struggled to balance the growing need for specialized hardware with the economic benefits of homogeneity. The Configurable Cloud datacenter architecture introduces a layer of reconfigurable logic (FPGAs) between t
Autor:
Eric S. Chung
Publikováno v:
ISPD
Deep Learning has emerged as a singularly critical technology for enabling human-like intelligence in online services such as Azure, Office 365, Bing, Cortana, Skype, and other high-valued scenarios at Microsoft. While Deep Neural Networks (DNNs) hav
Publikováno v:
Synthesis Lectures on Computer Architecture. 9:1-80
Autor:
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
Publikováno v:
2016 49th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO).
Autor:
Stephen F. Heil, Sitaram Lanka, Eric S. Chung, Adrian M. Caulfield, Oren Firestein, Doug Burger, Raja Seera, Kyle Holohan, Michael Haselman, Michael K. Papamichael, Derek Chiou, Puneet Kaur, Rimon Tadros, Andrew Putnam, Matt Humphrey, Shlomi Alkalay, Hari Angepat, Jason Thong, Lisa Woods, Todd Massengill, Tamas Juhasz, Kalin Ovtcharov, Lo Daniel
Publikováno v:
FPGA
In 2015, a team of software and hardware developers at Microsoft shipped the world?s first commercial search engine accelerated using FPGAs in the datacenter. During the sprint to production, new algorithms in the Bing ranking service were ported int
Autor:
James C. Hoe, Eric S. Chung
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 29:1459-1470
This paper presents our experiences in using high-level methods to design and validate a 16-way multithreaded microprocessor called BlueSPARC. BlueSPARC is an in-order, high-throughput processor supporting complex features such as privileged-mode ope
To date, the most common form of simulators of computer systems are software-based running on standard computers. One promising approach to improve simulation performance is to apply hardware, specifically reconfigurable hardware in the form of field