Soroosh Khoram

Orcid: 0000-0002-4164-6284

According to our database1, Soroosh Khoram authored at least 10 papers between 2017 and 2023.

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Bibliography

2023
Energy-Efficient Bayesian Inference Using Bitstream Computing.
IEEE Comput. Archit. Lett., 2023

2019
TOCO: A Framework for Compressing Neural Network Models Based on Tolerance Analysis.
CoRR, 2019

Interleaved Composite Quantization for High-Dimensional Similarity Search.
CoRR, 2019

2018
An Alternative Analytical Approach to Associative Processing.
IEEE Comput. Archit. Lett., 2018

Adaptive Quantization of Neural Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018

Accelerating Graph Analytics by Co-Optimizing Storage and Access on an FPGA-HMC Platform.
Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2018

Efficient Large-Scale Approximate Nearest Neighbor Search on OpenCL FPGA.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Challenges and Opportunities: From Near-memory Computing to In-memory Computing.
Proceedings of the 2017 ACM on International Symposium on Physical Design, 2017

Boosting the Performance of FPGA-based Graph Processor using Hybrid Memory Cube: A Case for Breadth First Search.
Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2017

Accelerating Large-Scale Graph Analytics with FPGA and HMC.
Proceedings of the 25th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2017


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