| Boosting the performance of FPGA-based graph processor using hybrid memory cube: A case for breadth first search J Zhang, S Khoram, J Li Proceedings of the 2017 ACM/SIGDA International Symposium on Field …, 2017 | 84 | 2017 |
| Adaptive Quantization of Neural Networks S Khoram, J Li International Conference on Machine Learning (ICLR), 2018 | 68 | 2018 |
| Accelerating graph analytics by co-optimizing storage and access on an FPGA-HMC platform S Khoram, J Zhang, M Strange, J Li Proceedings of the 2018 ACM/SIGDA International Symposium on Field …, 2018 | 48 | 2018 |
| Challenges and opportunities: From near-memory computing to in-memory computing S Khoram, Y Zha, J Zhang, J Li Proceedings of the 2017 ACM on International Symposium on Physical Design, 43-46, 2017 | 48 | 2017 |
| Efficient large-scale approximate nearest neighbor search on OpenCL FPGA J Zhang, S Khoram, J Li Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 39 | 2018 |
| Computing generalized matrix inverse on spiking neural substrate R Shukla, S Khoram, E Jorgensen, J Li, M Lipasti, S Wright Frontiers in neuroscience 12, 115, 2018 | 10 | 2018 |
| Discovering motion patterns in traffic videos using improved group sparse topical coding P Ahmadi, S Khoram, M Joneidi, I Gholampour, M Tabandeh 7'th International Symposium on Telecommunications (IST'2014), 343-348, 2014 | 7 | 2014 |
| An alternative analytical approach to associative processing S Khoram, Y Zha, J Li IEEE Computer Architecture Letters 17 (2), 113-116, 2018 | 5 | 2018 |
| Energy-efficient Bayesian inference using bitstream computing S Khoram, K Daruwalla, M Lipasti IEEE Computer Architecture Letters, 2023 | 2 | 2023 |
| TOCO: A framework for compressing neural network models based on tolerance analysis S Khoram, J Li arXiv preprint arXiv:1912.08792, 2019 | 1 | 2019 |
| Associative computer providing semi-parallel architecture J Li, S Khoram US Patent 10,503,691, 2019 | 1 | 2019 |
| High-Speed Graph Processor J Li, J Zhang, S Khoram US Patent App. 15/340,340, 2018 | 1* | 2018 |
| Accelerating large-scale graph analytics with FPGA and HMC S Khoram, J Zhang, M Strange, J Li 2017 IEEE 25th Annual International Symposium on Field-Programmable Custom …, 2017 | 1 | 2017 |
| Trustworthy AI at the Edge Using Stochastic Computing S Khoram The University of Wisconsin-Madison, 2023 | | 2023 |
| Interleaved Composite Quantization for High-Dimensional Similarity Search S Khoram, SJ Wright, J Li arXiv preprint arXiv:1912.08756, 2019 | | 2019 |
| DNN Model Compression Under Accuracy Constraints S Khoram, J Li | | 2018 |
Jialiang ZhangUniversity of PennsylvaniaVerified email at seas.upenn.edu
