Contact: Prof. R. Eigenmann
DARWIN is a compute and storage resource supporting computational and
data-intensive research at the University of Delaware and in the
Delaware Region. DARWIN is funded by an NSF MRI (Major Research
Instrumentation) grant.
For more information, see the
DARWIN project page
NSF Award Page
Collaborators:
Cathy
Wu,
Ben Bagozzi,
Arthi Jayaraman,
Bill Totten,
as well as a group of 50+ researchers at UD and regional organizations using
the machine.
Through a series of online and face-to-face meetings we are aiming to
create synergy among teams that assist researchers in developing,
optimizing, and running computational and data-intensive
applications. We also connect developers of tools that help accomplish
these tasks. We welcome participation from large, national projects as
well as from individuals that assist computational researchers or
develop supporting environments.
Research Staff: Parinaz Barakhshan
We are creating HPC benchmarks that are representative of real-world
applications. This is a collaboration with the Standard Performance
Evaluation Corporation, SPEC and Indiana
University.
NSF
award page.
News release
Collaborators:Sunita
Chandrasekaran, Robert
Henschel
Cetus is a compiler and transformation infrastructure for transforming C
source code. The original purpose of Cetus was for automatic
parallelization - translation of C code into C code annotated with OpenMP
directives. Many other uses of the translator have emerged, such as the
translation of OpenMP programs into CUDA and MPI.
Cetus is being maintained as a community infrastructure and has been used
for many projects worldwide (see the list of publications on the Cetus
web page).
Research Staff: Akshay Bhosale, Parinaz Barakhshan, Jan Sher Khan, Hao
Wang
Collaborators:Sam
Midkiff, Milind Kulkarni
In this project we develop novel compiler analysis techniques that gather
information from the program that enables parallelization of code that
could not be parallelized in the past. Our current focus in on analyzing
properties of the content of subscript arrays.
Research Staff: Akshay Bhosale
A tool is being developed that allows users to apply parallelization in a
semi-automatic way. Experts can steer the parallelization process through
tool menus and program directives. Non-experts can direct the tool to
automatically parallelize parts of or the full program.
Research Staff: Parinaz Barakhshan