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High Performance Computing on an IBM Cell Processor Bioinformatics Team Members Kyle Byerly Shannon McCormick Matt Rohlf Bryan Venteicher Advisor Dr. Zhao.

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Presentation on theme: "High Performance Computing on an IBM Cell Processor Bioinformatics Team Members Kyle Byerly Shannon McCormick Matt Rohlf Bryan Venteicher Advisor Dr. Zhao."— Presentation transcript:

1 High Performance Computing on an IBM Cell Processor Bioinformatics Team Members Kyle Byerly Shannon McCormick Matt Rohlf Bryan Venteicher Advisor Dr. Zhao Zhang

2 Problem Statement and Solution Increased data amount to process Exponentially growing data sets Limited budgets Cell Broadband Engine Inexpensive Uniquely suited for the data sets

3 Block Diagram

4 System Description Cell Broadband Engine  1 PPE, up to 8 SPE  PPE is a dual core PowerPC processor  SPE is vector processor BioPerf  Suite of bioinformatics applications used for benchmarking

5 Operating Environment Linux PlayStation 3 Room temperature Dry

6 User Interface root@ps3:/#

7 Functional Requirements Ported applications shall run on the Cell/B.E. Ported applications shall return the same results as the original applications Ported applications shall return their running time for comparisons

8 Non-functional Requirements Performance

9 Market Survey 'Exploring the Viability of the Cell Broadband Engine for Bioinformatics Applications' by Sachdeva, Kistler, Speight, and Tzeng Jinxu Ding, graduate student at ISU Risk: A group completes all BioPerf applications before we do

10 Deliverables Source code to two ported BioPerf applications Benchmarks

11 Work Breakdown Structure

12 Resource Requirements PlayStation 3 Algorithms books Bioinformatics information

13 Project Schedule

14 Questions?


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