Thesis Topic Details
Topic ID: |
3334 | |
Title: |
Data Parallel Haskell Benchmark Suite | |
Supervisor: |
Gabi 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. |
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Comments: |
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| Past Student Reports | ||
| No Reports Available. Contact the supervisor for more information.
Check out all available reports in the CSE Thesis Report Library. NOTE: only current CSE students can login to view and select reports to download. |
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