Electronic Theses and Dissertations

Date of Award

1-1-2021

Document Type

Thesis

Degree Name

M.S. in Engineering Science

First Advisor

Jang Byunghyun

Second Advisor

Yixin Chen

Third Advisor

Feng Wang

Relational Format

dissertation/thesis

Abstract

GPU acceleration of hash tables in high-volume transaction applications such as computational geometry and bio-informatics are emerging. Recently, several hash table designs have been proposed on GPUs, but our analysis shows that they still do not adequately factor in several important aspects of a GPU’s execution environment, leaving large room forfurther optimization.

Concentration/Emphasis

Computer Science

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