David Sheffield

ORCID

Publication Activity (10 Years)

Years Active: 2008-2021
Publications (10 Years): 10

Top Venues

FPL

FPT

ACM Trans. Reconfigurable Technol. Syst.

INTERSPEECH

University of California, Berkeley, USA (PHD)

Education History

University of California, Berkeley, USA

PHD

Publications

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) (2021)
Laura Erhan, Maryleen U. Ndubuaku, Enrico Ferrara, Miles Richardson, David Sheffield, Fiona J. Ferguson, Paul Brindley, Antonio Liotta
Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities. IEEE Access 7 (2019)
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)
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)
Enrico Ferrara, Antonio Liotta, Laura Erhan, Maryleen U. Ndubuaku, Daniele D. Giusto, Miles Richardson, David Sheffield, Kirsten McEwan
A Pilot Study Mapping Citizens' Interaction with Urban Nature. DASC/PiCom/DataCom/CyberSciTech (2018)
Enrico Ferrara, Antonio Liotta, Maryleen U. Ndubuaku, Laura Erhan, Daniele D. Giusto, Miles Richardson, David Sheffield, Kirsten McEwan
A Demographic Analysis of Urban Nature Utilization. CEEC (2018)
William Wright, David Sheffield, Stephanie Santosa
Argument Mapper: Countering Cognitive Biases in Analysis with Critical (Visual) Thinking. IV (2017)
Boban Simonovic, Edward Stupple, Maggie Gale, David Sheffield
Pupil Dilation and Cognitive Reflection as Predictors of Performance on the Iowa Gambling Task. CogSci (2017)
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)
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)
David Sheffield, Michael J. Anderson, Yunsup Lee, Kurt Keutzer
Hardware/software codesign for mobile speech recognition. INTERSPEECH (2013)
Forrest N. Iandola, David Sheffield, Michael J. Anderson, Phitchaya Mangpo Phothilimthana, Kurt Keutzer
Communication-minimizing 2D convolution in GPU registers. ICIP (2013)
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)
David Sheffield, Michael J. Anderson, Kurt Keutzer
Three Fingered Jack: Tackling Portability, Performance, and Productivity with Auto-Parallelized Python. HotPar (2013)
David Sheffield, Michael J. Anderson, Kurt Keutzer
Automatic generation of application-specific accelerators for FPGAs from python loop nests. FPL (2012)
Michael J. Anderson, David Sheffield, Kurt Keutzer
A Predictive Model for Solving Small Linear Algebra Problems in GPU Registers. IPDPS (2012)
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)
Casey M. Canfield, David Sheffield
. IEEE VAST (2011)
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) (2008)

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Publication Activity (10 Years)

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David Sheffield