Milan Kartik Shah

College of Engineering

Works (3)

Updated: April 5th, 2024 17:52

2023 article

GPU-Accelerated Error-Bounded Compression Framework for Quantum Circuit Simulations

2023 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM, IPDPS, pp. 757–767.

By: M. Shah n, X. Yu *, S. Di *, D. Lykov *, Y. Alexeev *, M. Becchi n, F. Cappello*

author keywords: compression; quantum computing; GPU
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Source: Web Of Science
Added: September 5, 2023

2023 article

Lightweight Huffman Coding for Efficient GPU Compression

PROCEEDINGS OF THE 37TH INTERNATIONAL CONFERENCE ON SUPERCOMPUTING, ACM ICS 2023, pp. 99–110.

By: M. Shah n, X. Yu *, S. Di *, M. Becchi n & F. Cappello *

author keywords: compression; Huffman coding; GPU
TL;DR: This paper designs a scheme to improve the performance of cuSZ, a GPU-based lossy compressor, and creates a dictionary of pre-computed codebooks such that during compression, a codebook is selected from the dictionary instead of computing a custom codebook. (via Semantic Scholar)
Source: Web Of Science
Added: January 29, 2024

2022 article

Accelerating Random Forest Classification on GPU and FPGA

51ST INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING, ICPP 2022.

By: M. Shah n, R. Neff n, H. Wu n, M. Minutoli *, A. Tumeo * & M. Becchi n

author keywords: random forest classification; GPU; FPGA
TL;DR: This work proposes a hierarchical memory layout suitable to the GPU/FPGA memory hierarchy, and designs three RF classification code variants based on that layout, and investigates GPU- and FPGA-specific considerations for these kernels. (via Semantic Scholar)
UN Sustainable Development Goal Categories
1. No Poverty (Web of Science)
Source: Web Of Science
Added: October 30, 2023

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