| Mlperf inference benchmark VJ Reddi, C Cheng, D Kanter, P Mattson, G Schmuelling, CJ Wu, ... 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020 | 439 | 2020 |
| Mlperf training benchmark P Mattson, C Cheng, C Coleman, G Diamos, P Micikevicius, D Patterson, ... arXiv preprint arXiv:1910.01500, 2019 | 303 | 2019 |
| Mlperf inference benchmark. In 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA) VJ Reddi, C Cheng, D Kanter, P Mattson, G Schmuelling, CJ Wu, ... IEEE, 2020 | 74 | 2020 |
| Comparing runtime systems with exascale ambitions using the parallel research kernels RF Van der Wijngaart, A Kayi, JR Hammond, G Jost, T St. John, ... International Conference on High Performance Computing, 321-339, 2016 | 26 | 2016 |
| MLPerf™ HPC: A holistic benchmark suite for scientific machine learning on HPC systems S Farrell, M Emani, J Balma, L Drescher, A Drozd, A Fink, G Fox, D Kanter, ... 2021 IEEE/ACM Workshop on Machine Learning in High Performance Computing …, 2021 | 22 | 2021 |
| Mlperf mobile inference benchmark: An industry-standard open-source machine learning benchmark for on-device ai V Janapa Reddi, D Kanter, P Mattson, J Duke, T Nguyen, R Chukka, ... Proceedings of Machine Learning and Systems 4, 352-369, 2022 | 20 | 2022 |
| Matrix computation within a reconfigurable processor fabric D Scott, T St. John US Patent App. 16/286,891, 2019 | 14 | 2019 |
| Massively parallel breadth first search using a tree-structured memory model T St. John, JB Dennis, GR Gao Proceedings of the 2012 International Workshop on Programming Models and …, 2012 | 10 | 2012 |
| The Vision Behind MLPerf: Understanding AI Inference Performance VJ Reddi, C Cheng, D Kanter, P Mattson, G Schmuelling, CJ Wu, ... IEEE Micro, 2021 | 9 | 2021 |
| MLPerf mobile inference benchmark VJ Reddi, D Kanter, P Mattson, J Duke, T Nguyen, R Chukka, K Shiring, ... arXiv preprint arXiv:2012.02328, 2020 | 9 | 2020 |
| MLPerf Inference Benchmark. In 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA). 446–459 VJ Reddi, C Cheng, D Kanter, P Mattson, G Schmuelling, CJ Wu, ... | 9 | 2020 |
| MLPerf training benchmark. CoRR abs/1910.01500 (2019) P Mattson, C Cheng, C Coleman, G Diamos, P Micikevicius, DA Patterson, ... | 6 | 1910 |
| MLPerf inference benchmark. CoRR abs/1911.02549 (2019) VJ Reddi, C Cheng, D Kanter, P Mattson, G Schmuelling, CJ Wu, ... | 5 | 1911 |
| Technologies for integrated thread scheduling J Dinan, M Flajslik, T St. John US Patent 9,916,178, 2018 | 3 | 2018 |
| Asafesss: A scheduler-driven adaptive framework for extreme scale software stacks T St. John, B Meister, A Marquez, JB Manzano, GR Gao, X Li Proceedings of International Workshop on Adaptive Self-tuning Computing …, 2014 | 3 | 2014 |
| ACDT: Architected Composite Data Types trading-in unfettered data access for improved execution A Marquez, J Manzano, SL Song, B Meister, S Shrestha, T St. John, ... 2014 20th IEEE International Conference on Parallel and Distributed Systems …, 2014 | 1 | 2014 |
| AI for Autonomous Vehicles TS John, VJ Reddi Artificial Intelligence for Science: A Deep Learning Revolution, 671-678, 2023 | | 2023 |
| The Vision Behind MLPerf VJ Reddi, C Cheng, D Kanter, P Mattson, G Schmuelling, CJ Wu, ... IEEE Micro, 2021 | | 2021 |
| MLPerf Inference Benchmark V Janapa Reddi, C Cheng, D Kanter, P Mattson, G Schmuelling, CJ Wu, ... arXiv e-prints, arXiv: 1911.02549, 2019 | | 2019 |
| ACDT: Architected Composite Data Types A Marquez, J Manzano, SL Song, B Meister, S Shrestha, TS John, G Gao | | |
Guang R. GaoEndowed Distinguished Professor, Electrical & Computer Engineering, University of Delaware Verified email at capsl.udel.edu
