Thesis Topic Details

Topic ID:
3334
Title:
Data Parallel Haskell Benchmark Suite
Supervisor:
Gabriele Keller
Research Area:
Parallel Systems, Programming Languages
Associated Staff
Assessor:
Ben Lippmeier
Topic Details
Status:
Active
Type:
R & D
Programs:
CS CE BIOM BINF SE
Group Suitable:
No
Industrial:
No
Pre-requisites:
Understanding of programming languages, algorithms
Description:
Data parallel Haskell (DPH), developed at CSE, is an extension of the programming language Haskell to support a flexible, high-level parallel programming model, which is particularly useful in applications like simulation and is part of the Glasgow Haskell Compiler.

The goal of this project is to implement some of the benchmarks inDPH for parallel programming proposed here:

https://www.cs.cmu.edu/~pbbs/

and analyse the results wrt to strengths and weak points of the current
DPH implementation.
Comments:
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Past Student Reports
  Joseph Anthony MOLLOY in s1, 2013
Data Parallel Haskell Benchmark Suite
 

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