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David Sheffield
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Publications
- 2021
- [j3]Rui Ma, Jia-Ching Hsu, Tian Tan, Eriko Nurvitadhi, David Sheffield, Rob Pelt, Martin Langhammer, Jaewoong Sim, Aravind Dasu, Derek Chiou:
Specializing FGPU for Persistent Deep Learning. ACM Trans. Reconfigurable Technol. Syst. 14(2): 10:1-10:23 (2021) - 2019
- [c16]Rui Ma, Derek Chiou, Jia-Ching Hsu, Tian Tan, Eriko Nurvitadhi, David Sheffield, Rob Pelt, Martin Langhammer, Jaewoong Sim, Aravind Dasu:
Specializing FGPU for Persistent Deep Learning. FPL 2019: 326-333 - [c15]Eriko Nurvitadhi, Mishali Naik, Andrew Boutros, Prerna Budhkar, Ali Jafari, Dongup Kwon, David Sheffield, Abirami Prabhakaran, Karthik Gururaj, Pranavi Appana:
Scalable Low-Latency Persistent Neural Machine Translation on CPU Server with Multiple FPGAs. FPT 2019: 307-310 - 2016
- [c10]Eriko Nurvitadhi, Jaewoong Sim, David Sheffield, Asit K. Mishra, Krishnan Srivatsan, Debbie Marr:
Accelerating recurrent neural networks in analytics servers: Comparison of FPGA, CPU, GPU, and ASIC. FPL 2016: 1-4 - [c9]Eriko Nurvitadhi, David Sheffield, Jaewoong Sim, Asit K. Mishra, Ganesh Venkatesh, Debbie Marr:
Accelerating Binarized Neural Networks: Comparison of FPGA, CPU, GPU, and ASIC. FPT 2016: 77-84 - 2013
- [c8]Yunsup Lee, David Sheffield, Andrew Waterman, Michael J. Anderson, Kurt Keutzer, Krste Asanovic:
Measuring the gap between programmable and fixed-function accelerators: A case study on speech recognition. Hot Chips Symposium 2013: 1-2 - [c7]David Sheffield, Michael J. Anderson, Kurt Keutzer:
Three Fingered Jack: Tackling Portability, Performance, and Productivity with Auto-Parallelized Python. HotPar 2013 - [c6]Forrest N. Iandola, David Sheffield, Michael J. Anderson, Phitchaya Mangpo Phothilimthana, Kurt Keutzer:
Communication-minimizing 2D convolution in GPU registers. ICIP 2013: 2116-2120 - [c5]David Sheffield, Michael J. Anderson, Yunsup Lee, Kurt Keutzer:
Hardware/software codesign for mobile speech recognition. INTERSPEECH 2013: 627-631 - 2012
- [c4]David Sheffield, Michael J. Anderson, Kurt Keutzer:
Automatic generation of application-specific accelerators for FPGAs from python loop nests. FPL 2012: 567-570 - [c3]Michael J. Anderson, David Sheffield, Kurt Keutzer:
A Predictive Model for Solving Small Linear Algebra Problems in GPU Registers. IPDPS 2012: 2-13 - 2011
- [c2]Michael J. Anderson, Bryan Catanzaro, Jike Chong, Ekaterina Gonina, Kurt Keutzer, Chao-Yue Lai, Mark Murphy, David Sheffield, Bor-Yiing Su, Narayanan Sundaram:
Considerations When Evaluating Microprocessor Platforms. HotPar 2011 - 2008
- [j1]William J. Dally, James D. Balfour, David Black-Schaffer, James Chen, R. Curtis Harting, Vishal Parikh, JongSoo Park, David Sheffield:
Efficient Embedded Computing. Computer 41(7): 27-32 (2008)
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