David Sheffield

According to our database, David Sheffield authored at least 19 papers between 2008 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Specializing FGPU for Persistent Deep Learning.

Rui Ma, Jia-Ching Hsu, Tian Tan, Eriko Nurvitadhi, David Sheffield, Rob Pelt, Martin Langhammer, Jaewoong Sim, Aravind Dasu, Derek Chiou

ACM Trans. Reconfigurable Technol. Syst., 2021

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

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

Proceedings of the International Conference on Field-Programmable Technology, 2019

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

Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018

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

Proceedings of the 2018 10th Computer Science and Electronic Engineering Conference, 2018

2017

Argument Mapper: Countering Cognitive Biases in Analysis with Critical (Visual) Thinking.

William Wright, David Sheffield, Stephanie Santosa

Proceedings of the 21st International Conference Information Visualisation, 2017

Pupil Dilation and Cognitive Reflection as Predictors of Performance on the Iowa Gambling Task.

Boban Simonovic, Edward Stupple, Maggie Gale, David Sheffield

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

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

Proceedings of the 2016 International Conference on Field-Programmable Technology, 2016

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

Proceedings of the 26th International Conference on Field Programmable Logic and Applications, 2016

2013

Three Fingered Jack: Productively Addressing Platform Diversity.

David Sheffield

PhD thesis, 2013

Hardware/software codesign for mobile speech recognition.

David Sheffield, Michael J. Anderson, Yunsup Lee, Kurt Keutzer

Proceedings of the INTERSPEECH 2013, 2013

Communication-minimizing 2D convolution in GPU registers.

Forrest N. Iandola, David Sheffield, Michael J. Anderson, Phitchaya Mangpo Phothilimthana, Kurt Keutzer

Proceedings of the IEEE International Conference on Image Processing, 2013

Three Fingered Jack: Tackling Portability, Performance, and Productivity with Auto-Parallelized Python.

David Sheffield, Michael J. Anderson, Kurt Keutzer

Proceedings of the 5th USENIX Workshop on Hot Topics in Parallelism, 2013

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

Proceedings of the 2013 IEEE Hot Chips 25 Symposium (HCS), 2013

2012

A Predictive Model for Solving Small Linear Algebra Problems in GPU Registers.

Michael J. Anderson, David Sheffield, Kurt Keutzer

Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium, 2012

Automatic generation of application-specific accelerators for FPGAs from python loop nests.

David Sheffield, Michael J. Anderson, Kurt Keutzer

Proceedings of the 22nd International Conference on Field Programmable Logic and Applications (FPL), 2012

2011

Interactive data analysis with nSpace2^®.

Casey M. Canfield, David Sheffield

Proceedings of the 6th IEEE Conference on Visual Analytics Science and Technology, 2011

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

Proceedings of the 3rd USENIX Workshop on Hot Topics in Parallelism, 2011

2008

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