Vudutala China Venkata Rao (VCV Rao)


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Current HPC Activities : Software Development and Benchmarks

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.

Software Development

Development of Application and System Benchmarks (Micro and Macro Benchmarks) on Multi Core Computing Systems

MVAPICH2 (High performance MPI-2 implementation based on MPICH2) implementation on C-DAC's Message Passing Cluster - PARAM series with PARAMNet Interconnect

Development of MPI-2 Communication benchmark suites (P-COMS v2.0 ) P-COMS for Message Passing Clusters

Testing and Certification

Design Testing Methodology, Develop test Programs for Message Passing Clusers - PARAM Series

Execute test Plan and Extract performance of Application and System Benchmarks on Parallel Processing Platforms

Testing, Certification and Evaulation of (HPCC) High Performance computing and Communication Tools on Message Passing Clusters

Parallel Computing - Tuning and Performance of Benchmarks/Applications

Tuning and Performance of High Performance Computing and Communication tools on Message Passing Clusters

Tuning and Performance of Bio-Informatics Appliations on Message Passing Clusters

Tuning and Performance of Micro and Macro Benchmarks on Parallel Processing Platforms

Tuning and Performance of Large Scale Computational Fluid Dynamics Applications on Message Passing Clusters

Parallel Computing - Scientific and Engineering Applications

Design scalable parallel algorithms for Sparse Matrix Computations using MPI/OpenMP/Pthread Programming Paradigms on Multi-Core Systems

Performance of Bio-Informatics ( Molecular Dynamics Applications, Parallel Search tools - FASTA, Smith Watermann & BLAST on Message Passing Clusters)

Paralleliszation of Large Scale Computational Fluid Dynamics Applications with Unstructured FVM Computations on Tera-flop message passing clusters

Parallel Unstructured Mesh Computations using Graph Partitoning algorithms

Efficient implementation Partial Differential Equations on Parallel Processing Platforms