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PBB: A Parallel Bioinformatics Benchmark Suite for Shared Memory Multiprocessors

Learn about PBB suite, with 7 applications covering key bioinformatics domains, optimized for shared memory multiprocessors. Performance results and insights provided.

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PBB: A Parallel Bioinformatics Benchmark Suite for Shared Memory Multiprocessors

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  1. PBB: A Parallel Bioinformatics Benchmark Suite for Shared Memory Multiprocessors CHEN Wenguang HPC Inst., CS Dept., Tsinghua University

  2. Outlines • Motivation • Benchmark selection & construction • Benchmark characteristics • Performance results • Conclusions, Q&A

  3. Motivation • Widely use of bioinformatics applications • The trend of multi-core => There should be a parallel bioinfo. benchmark • SPEC CPU2000 may not match the characteristics of bioinformatics workloads well • Existing bioinformatics benchmark are not satisfactory => We need a new one

  4. Existing Bioinformatics Benchmarks: BioBench: • does not cover some important domains • no parallel program BioPerf: • includes only one parallel benchmark BioParallel: our previous work, includes 5 parallel application

  5. PBB benchmark suite: Being more complete 7 applications covering 7 of the most important domains of bioinfo. Keeping pace with the changing world all the applications are parallelized

  6. Benchmark Selection & Construction • Identify the most important application domains • Choose representative applications for each domain most popular, most advanced • Benchmark optimization & parallelization

  7. The 7 applications: • Pairwise sequence alignment: BLAST-P • Global alignment: PLSA • Multiple sequences alignment: MUSCLE • Protein 3D structure prediction: Rosetta • Phylogenetic tree reconstruction: SEMPHY • Gene regulatory network learning: ModuleNet • Pattern study of Single Nucleotide Polymorphisms: SNP

  8. Benchmark Characteristics Systems Used: Workload analysis is performed on QP001

  9. Non-egligible FP Instruction profile: Higher L/S

  10. CPI Low CPI 8P means QP001 with HT enabled

  11. FSB bandwidth utilization Low utilization

  12. Performance Results Benchmark scores: : time used to run application i on the reference system : time used to run application i on the tested system Rosetta is excluded for it produces random results

  13. Scores of PBB

  14. Parallel speedup Tested on Unisys-ES700 with 16 Xeon

  15. Hyper Threading Effects

  16. Conclusions Workload characteristics: • High percentage of load/store instructions • Non-negligible floating point instructions, but still significantly lower than SPECCPU 2000FP • Low CPI • Low memory bandwidth demand

  17. Thanks Any questions?

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