David Sheffield

20 papers A 2B 5C 1Journal 3Unranked 8

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	Specializing FGPU for Persistent Deep Learning. ACM Trans. Reconfigurable Technol. Syst. Rui Ma, Jia-Ching Hsu, Tian Tan, Eriko Nurvitadhi, David Sheffield, Rob Pelt, Martin Langhammer, Jaewoong Sim, Aravind Dasu, Derek Chiou
2019	J	`jnl`	Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities. IEEE Access Laura Erhan, Maryleen U. Ndubuaku, Enrico Ferrara, Miles Richardson, David Sheffield, Fiona J. Ferguson, Paul Brindley, Antonio Liotta
2019	—	`conf`	Scalable Low-Latency Persistent Neural Machine Translation on CPU Server with Multiple FPGAs. FPT Eriko Nurvitadhi, Mishali Naik, Andrew Boutros, Prerna Budhkar, Ali Jafari, Dongup Kwon, David Sheffield, Abirami Prabhakaran, Karthik Gururaj, Pranavi Appana
2019	B	`conf`	Specializing FGPU for Persistent Deep Learning. FPL Rui Ma, Derek Chiou, Jia-Ching Hsu, Tian Tan, Eriko Nurvitadhi, David Sheffield, Rob Pelt, Martin Langhammer, Jaewoong Sim, Aravind Dasu
2018	—	`conf`	A Demographic Analysis of Urban Nature Utilization. CEEC Enrico Ferrara, Antonio Liotta, Maryleen U. Ndubuaku, Laura Erhan, Daniele D. Giusto, Miles Richardson, David Sheffield, Kirsten McEwan
2018	—	`conf`	A Pilot Study Mapping Citizens' Interaction with Urban Nature. DASC/PiCom/DataCom/CyberSciTech Enrico Ferrara, Antonio Liotta, Laura Erhan, Maryleen U. Ndubuaku, Daniele D. Giusto, Miles Richardson, David Sheffield, Kirsten McEwan
2017	C	`conf`	Argument Mapper: Countering Cognitive Biases in Analysis with Critical (Visual) Thinking. IV William Wright, David Sheffield, Stephanie Santosa
2017	B	`conf`	Pupil Dilation and Cognitive Reflection as Predictors of Performance on the Iowa Gambling Task. CogSci Boban Simonovic, Edward Stupple, Maggie Gale, David Sheffield
2016	—	`conf`	Accelerating Binarized Neural Networks: Comparison of FPGA, CPU, GPU, and ASIC. FPT Eriko Nurvitadhi, David Sheffield, Jaewoong Sim, Asit K. Mishra, Ganesh Venkatesh, Debbie Marr
2016	B	`conf`	Accelerating recurrent neural networks in analytics servers: Comparison of FPGA, CPU, GPU, and ASIC. FPL Eriko Nurvitadhi, Jaewoong Sim, David Sheffield, Asit K. Mishra, Krishnan Srivatsan, Debbie Marr
2013	B	`conf`	Communication-minimizing 2D convolution in GPU registers. ICIP Forrest N. Iandola, David Sheffield, Michael J. Anderson, Phitchaya Mangpo Phothilimthana, Kurt Keutzer
2013	A	`conf`	Hardware/software codesign for mobile speech recognition. INTERSPEECH David Sheffield, Michael J. Anderson, Yunsup Lee, Kurt Keutzer
2013	—	`conf`	Measuring the gap between programmable and fixed-function accelerators: A case study on speech recognition. Hot Chips Symposium Yunsup Lee, David Sheffield, Andrew Waterman, Michael J. Anderson, Kurt Keutzer, Krste Asanovic
2013	—	`—`	Three Fingered Jack: Productively Addressing Platform Diversity. David Sheffield
2013	—	`conf`	Three Fingered Jack: Tackling Portability, Performance, and Productivity with Auto-Parallelized Python. HotPar David Sheffield, Michael J. Anderson, Kurt Keutzer
2012	A	`conf`	A Predictive Model for Solving Small Linear Algebra Problems in GPU Registers. IPDPS Michael J. Anderson, David Sheffield, Kurt Keutzer
2012	B	`conf`	Automatic generation of application-specific accelerators for FPGAs from python loop nests. FPL David Sheffield, Michael J. Anderson, Kurt Keutzer
2011	—	`conf`	Considerations When Evaluating Microprocessor Platforms. HotPar Michael J. Anderson, Bryan Catanzaro, Jike Chong, Ekaterina Gonina, Kurt Keutzer, Chao-Yue Lai, Mark Murphy, David Sheffield, Bor-Yiing Su, Narayanan Sundaram
2011	—	`conf`	Interactive data analysis with nSpace2 IEEE VAST Casey M. Canfield, David Sheffield
2008	J	`jnl`	Efficient Embedded Computing. Computer William J. Dally, James D. Balfour, David Black-Schaffer, James Chen, R. Curtis Harting, Vishal Parikh, Jongsoo Park, David Sheffield