Efficient Embedded Computing. - William J. Dally; James D. Balfour; David Black-Schaffer; James Chen; R. Curtis Harting; Vishal Parikh; JongSoo Park; David Sheffield (Computer, 2008)

Considerations When Evaluating Microprocessor Platforms. - Michael J. Anderson; Bryan Catanzaro; Jike Chong; Ekaterina Gonina; Kurt Keutzer; Chao-Yue Lai; Mark Murphy; David Sheffield; Bor-Yiing Su; Narayanan Sundaram (HotPar, 2011)

Interactive data analysis with nSpace2®. - Casey M. Canfield; David Sheffield (IEEE VAST, 2011)

Automatic generation of application-specific accelerators for FPGAs from python loop nests. - David Sheffield; Michael J. Anderson; Kurt Keutzer (FPL, 2012)

A Predictive Model for Solving Small Linear Algebra Problems in GPU Registers. - Michael J. Anderson; David Sheffield; Kurt Keutzer (IPDPS, 2012)

Measuring the gap between programmable and fixed-function accelerators: A case study on speech recognition. - Yunsup Lee; David Sheffield; Andrew Waterman; Michael J. Anderson; Kurt Keutzer; Krste Asanovic (Hot Chips Symposium, 2013)

Three Fingered Jack: Tackling Portability, Performance, and Productivity with Auto-Parallelized Python. - David Sheffield; Michael J. Anderson; Kurt Keutzer (HotPar, 2013)

Communication-minimizing 2D convolution in GPU registers. - Forrest N. Iandola; David Sheffield; Michael J. Anderson; Phitchaya Mangpo Phothilimthana; Kurt Keutzer (ICIP, 2013)

Hardware/software codesign for mobile speech recognition. - David Sheffield; Michael J. Anderson; Yunsup Lee; Kurt Keutzer (INTERSPEECH, 2013)

Three Fingered Jack: Productively Addressing Platform Diversity. - David Sheffield (2013)

Accelerating recurrent neural networks in analytics servers: Comparison of FPGA, CPU, GPU, and ASIC. - Eriko Nurvitadhi; Jaewoong Sim; David Sheffield; Asit K. Mishra; Krishnan Srivatsan; Debbie Marr (FPL, 2016)

Accelerating Binarized Neural Networks: Comparison of FPGA, CPU, GPU, and ASIC. - Eriko Nurvitadhi; David Sheffield; Jaewoong Sim; Asit K. Mishra; Ganesh Venkatesh; Debbie Marr (FPT, 2016)

Pupil Dilation and Cognitive Reflection as Predictors of Performance on the Iowa Gambling Task. - Boban Simonovic; Edward Stupple; Maggie Gale; David Sheffield (CogSci, 2017)

Argument Mapper: Countering Cognitive Biases in Analysis with Critical (Visual) Thinking. - William Wright; David Sheffield; Stephanie Santosa (IV, 2017)

A Demographic Analysis of Urban Nature Utilization. - Enrico Ferrara; Antonio Liotta; Maryleen U. Ndubuaku; Laura Erhan; Daniele D. Giusto; Miles Richardson; David Sheffield; Kirsten McEwan (CEEC, 2018)

A Pilot Study Mapping Citizens' Interaction with Urban Nature. - Enrico Ferrara; Antonio Liotta; Laura Erhan; Maryleen U. Ndubuaku; Daniele D. Giusto; Miles Richardson; David Sheffield; Kirsten McEwan (DASC/PiCom/DataCom/CyberSciTech, 2018)

Scalable Low-Latency Persistent Neural Machine Translation on CPU Server with Multiple FPGAs. - Eriko Nurvitadhi; Mishali Naik; Andrew Boutros; Prerna Budhkar; Ali Jafari; Dongup Kwon; David Sheffield; Abirami Prabhakaran; Karthik Gururaj; Pranavi Appana (FPT, 2019)

Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities. - Laura Erhan; Maryleen U. Ndubuaku; Enrico Ferrara; Miles Richardson; David Sheffield; Fiona J. Ferguson; Paul Brindley; Antonio Liotta (IEEE Access, 2019)

Specializing FGPU for Persistent Deep Learning. - Rui Ma; Jia-Ching Hsu; Tian Tan 007; Eriko Nurvitadhi; David Sheffield; Rob Pelt; Martin Langhammer; Jaewoong Sim; Aravind Dasu; Derek Chiou (ACM Trans. Reconfigurable Technol. Syst., 2021)