Accelerating Large-Scale Graph Analytics with FPGA and HMC. - Soroosh Khoram; Jialiang Zhang; Maxwell Strange; Jing Li 073 (FCCM, 2017)

Boosting the Performance of FPGA-based Graph Processor using Hybrid Memory Cube: A Case for Breadth First Search. - Jialiang Zhang; Soroosh Khoram; Jing Li 073 (FPGA, 2017)

Challenges and Opportunities: From Near-memory Computing to In-memory Computing. - Soroosh Khoram; Yue Zha; Jialiang Zhang; Jing Li 073 (ISPD, 2017)

Efficient Large-Scale Approximate Nearest Neighbor Search on OpenCL FPGA. - Jialiang Zhang; Soroosh Khoram; Jing Li 073 (CVPR, 2018)

Accelerating Graph Analytics by Co-Optimizing Storage and Access on an FPGA-HMC Platform. - Soroosh Khoram; Jialiang Zhang; Maxwell Strange; Jing Li 073 (FPGA, 2018)

Adaptive Quantization of Neural Networks. - Soroosh Khoram; Jing Li 073 (ICLR (Poster), 2018)

An Alternative Analytical Approach to Associative Processing. - Soroosh Khoram; Yue Zha; Jing Li 073 (IEEE Comput. Archit. Lett., 2018)

Interleaved Composite Quantization for High-Dimensional Similarity Search. - Soroosh Khoram; Stephen J. Wright 001; Jing Li 073 (CoRR, 2019)

TOCO: A Framework for Compressing Neural Network Models Based on Tolerance Analysis. - Soroosh Khoram; Jing Li 073 (CoRR, 2019)

Energy-Efficient Bayesian Inference Using Bitstream Computing. - Soroosh Khoram; Kyle Daruwalla; Mikko H. Lipasti (IEEE Comput. Archit. Lett., 2023)