The Data Science Institute (DSI) aims to accelerate research in data science, serving as a
nucleating effort to catalyze interdisciplinary research collaborations across fields
impacting our society.
Serving as a hub for interdisciplinary research, collaboration and excellence, the DSI
brings together faculty and students from seven colleges across campus to work
effectively with big data and address problems and opportunities facing society—from
health sciences, physical sciences, environmental sciences, to behavioral and social
sciences and public policy. The Institute will further involve partnerships with industry
and other institutions in the region.
(Data Science Institute [DSI], University of Delaware, Newark, DE, 2021-11-17) Bhosale, Akshay
Cetus is a source-to-source translator for programs written in the C language. The primary use is as a parallelizing compiler, translating C programs to equivalent C code annotated with OpenMP parallel directives. Cetus is a research platform to study parallelization techniques and related program transformations. Cetus was created out of a need for a state-of-the-art automatic parallelizer for multicores, written in a modern language and capable of performing analyses and transformations for today’s architectures. This poster presents an in-depth evaluation of the existing and newly added analysis and transformation techniques in Cetus on a set of benchmark applications.