David Sheffield

803 total citations
14 papers, 552 citations indexed

About

David Sheffield is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, David Sheffield has authored 14 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hardware and Architecture, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in David Sheffield's work include Parallel Computing and Optimization Techniques (11 papers), Advanced Neural Network Applications (4 papers) and Embedded Systems Design Techniques (4 papers). David Sheffield is often cited by papers focused on Parallel Computing and Optimization Techniques (11 papers), Advanced Neural Network Applications (4 papers) and Embedded Systems Design Techniques (4 papers). David Sheffield collaborates with scholars based in United States, United Kingdom and India. David Sheffield's co-authors include Eriko Nurvitadhi, Jaewoong Sim, Debbie Marr, Asit Mishra, Ganesh Venkatesh, Srivatsan Krishnan, Kurt Keutzer, Michael J. Anderson, William J. Dally and James Balfour and has published in prestigious journals such as Computer and ACM Transactions on Reconfigurable Technology and Systems.

In The Last Decade

David Sheffield

12 papers receiving 529 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Sheffield United States 8 235 212 196 171 147 14 552
Duncan J. M. Moss Australia 8 270 1.1× 138 0.7× 213 1.1× 161 0.9× 100 0.7× 13 516
Thomas B. Preußer Germany 11 199 0.8× 201 0.9× 148 0.8× 160 0.9× 111 0.8× 35 486
Jaeha Kung South Korea 15 536 2.3× 223 1.1× 305 1.6× 230 1.3× 144 1.0× 51 827
Suchit Subhaschandra United Kingdom 7 239 1.0× 213 1.0× 221 1.1× 143 0.8× 171 1.2× 8 518
Amr T. Abdel-Hamid Egypt 11 161 0.7× 240 1.1× 113 0.6× 116 0.7× 78 0.5× 29 489
Andrew Boutros Canada 13 280 1.2× 241 1.1× 177 0.9× 103 0.6× 102 0.7× 29 529
Robert Adolf United States 7 427 1.8× 347 1.6× 295 1.5× 227 1.3× 190 1.3× 11 783
Hanqing Zeng United States 11 272 1.2× 206 1.0× 228 1.2× 227 1.3× 109 0.7× 22 554
Xuefei Ning China 13 420 1.8× 123 0.6× 184 0.9× 281 1.6× 62 0.4× 44 737
Daniel Ziener Germany 17 247 1.1× 415 2.0× 86 0.4× 174 1.0× 205 1.4× 41 605

Countries citing papers authored by David Sheffield

Since Specialization
Citations

This map shows the geographic impact of David Sheffield's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Sheffield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Sheffield more than expected).

Fields of papers citing papers by David Sheffield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Sheffield. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Sheffield. The network helps show where David Sheffield may publish in the future.

Co-authorship network of co-authors of David Sheffield

This figure shows the co-authorship network connecting the top 25 collaborators of David Sheffield. A scholar is included among the top collaborators of David Sheffield based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Sheffield. David Sheffield is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Nurvitadhi, Eriko, David Sheffield, Martin Langhammer, et al.. (2021). Specializing FGPU for Persistent Deep Learning. ACM Transactions on Reconfigurable Technology and Systems. 14(2). 1–23. 4 indexed citations
2.
Nurvitadhi, Eriko, Andrew Boutros, Ali Jafari, et al.. (2019). Scalable Low-Latency Persistent Neural Machine Translation on CPU Server with Multiple FPGAs. 307–310. 8 indexed citations
3.
Chiou, Derek, Eriko Nurvitadhi, David Sheffield, et al.. (2019). Specializing FGPU for Persistent Deep Learning. 326–333. 11 indexed citations
4.
Nurvitadhi, Eriko, David Sheffield, Jaewoong Sim, et al.. (2016). Accelerating Binarized Neural Networks: Comparison of FPGA, CPU, GPU, and ASIC. 77–84. 223 indexed citations
5.
Nurvitadhi, Eriko, Jaewoong Sim, David Sheffield, et al.. (2016). Accelerating recurrent neural networks in analytics servers: Comparison of FPGA, CPU, GPU, and ASIC. 1–4. 129 indexed citations
6.
Sheffield, David, Michael T. Anderson, & Kurt Keutzer. (2013). Three fingered jack: tackling portability, performance, and productivity with auto-parallelized python. 1 indexed citations
7.
Iandola, Forrest, David Sheffield, Michael J. Anderson, Phitchaya Mangpo Phothilimthana, & Kurt Keutzer. (2013). Communication-minimizing 2D convolution in GPU registers. 2116–2120. 15 indexed citations
8.
Sheffield, David, et al.. (2013). Hardware/software codesign for mobile speech recognition. 627–631. 2 indexed citations
9.
Lee, Yunsup, David Sheffield, Andrew Waterman, et al.. (2013). Measuring the gap between programmable and fixed-function accelerators: A case study on speech recognition. 1–2. 1 indexed citations
10.
Sheffield, David, Michael Anderson, & Kurt Keutzer. (2012). Automatic generation of application-specific accelerators for FPGAs from python loop nests. 1. 567–570. 7 indexed citations
11.
Anderson, Michael J., David Sheffield, & Kurt Keutzer. (2012). A Predictive Model for Solving Small Linear Algebra Problems in GPU Registers. 2–13. 35 indexed citations
12.
Anderson, Michael, Bryan Catanzaro, Jike Chong, et al.. (2011). Considerations when evaluating microprocessor platforms. 1–1. 4 indexed citations
13.
Dally, William J., James Balfour, James L. Chen, et al.. (2008). Efficient Embedded Computing. Computer. 41(7). 27–32. 111 indexed citations
14.
Kumar, K. Santhosh, et al.. (2002). A pipelined parallel processor to implement MD4 message digest algorithm on Xilinx FPGA. 394–399. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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