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Current HPC Activities : Software Development and Benchmarks
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My group members pursued the following research projects on Parallel Processing.
These are co-authored by technical staff of C-DAC. Details of these can be accessed
from C-DAC web site and some of these are listed below.
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Development of Application and System Benchmarks (Micro and Macro Benchmarks) on Multi Core Computing Systems
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MVAPICH2 (High performance MPI-2 implementation based on MPICH2) implementation on C-DAC's Message Passing Cluster - PARAM series with PARAMNet Interconnect
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Development of MPI-2 Communication benchmark suites (P-COMS v2.0 )
P-COMS
for Message Passing Clusters
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Design Testing Methodology, Develop test Programs
for Message Passing Clusers - PARAM Series
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Execute test Plan and Extract performance of Application and System Benchmarks on Parallel Processing Platforms
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Testing, Certification and Evaulation of (HPCC) High Performance computing and Communication Tools on Message Passing Clusters
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Parallel Computing - Tuning and Performance of Benchmarks/Applications
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Tuning and Performance of High Performance Computing and Communication tools
on Message Passing Clusters
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Tuning and Performance of Bio-Informatics Appliations on Message Passing Clusters
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Tuning and Performance of Micro and Macro Benchmarks on Parallel Processing Platforms
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Tuning and Performance of Large Scale Computational Fluid Dynamics Applications on
Message Passing Clusters
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Parallel Computing - Scientific and Engineering Applications
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Design scalable parallel algorithms for Sparse Matrix Computations using MPI/OpenMP/Pthread Programming Paradigms on Multi-Core Systems
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Performance of Bio-Informatics ( Molecular Dynamics Applications, Parallel
Search tools - FASTA, Smith Watermann & BLAST on Message Passing Clusters)
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Paralleliszation of Large Scale Computational Fluid Dynamics Applications with Unstructured
FVM Computations on Tera-flop message passing clusters
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Parallel Unstructured Mesh Computations using Graph Partitoning algorithms
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Efficient implementation Partial Differential Equations on Parallel Processing Platforms
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