DSI articles

Permanent URI for this collection

The collection consists of technical reports written by Data Science Institute (DSI)-affiliated authors


Recent Submissions

Now showing 1 - 2 of 2
  • Item
    Measuring the impact of Automatic Program Parallelization Techniques in Cetus v2.0
    (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.
  • Item
    DARWIN - A Resource for Computational and Data-intensive Research at the University of Delaware and in the Delaware Region
    (Data Science Institute [DSI], University of Delaware, Newark, DE, 2021) Eigenmann, Rudolf; Bagozzi, Benjamin E.; Jayaraman, Arthi; Totten, William; Wu, Cathy H.