A Framework for Heterogeneous GP-GPU Cluster Computing. Kenny Ballou ... Parallel: Processing concurrently. Distributed:
CUDA. Compute Unified Device Architecture. Established interface with (nVidia) GPU's. pyCUDA. Deferred CUDA kernel compi
where a message is split and distributed to the nodes, and then gathering the split .... The counter copy function can overflow the bottle- neck link when all the ...
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Feb 15, 2013 - Who Uses Distributed Computing? Google â Page Indexing. Created Map-Reduce. Facebook â Data Mining. U
OpenCUDA + MPI A Framework for Heterogeneous GP-GPU Distributed Computing
Kenny Ballou
February 15, 2013
Ballou OpenCUDA + MPI
Introduction Parallel and Distributed Computing
What is GP-GPU Distributed Computing? Parallel: Processing concurrently
Distributed: Processing over many computers, typically in parallel, but not always Local Grid Computing
Ballou OpenCUDA + MPI
Applications of Supercomputing What can we do with Parallel and Distributed Computing?
Solving (Large) Linear Systems LINPACK Benchmarks
Fluid Dynamic Simulations N-Body Simulations Brute-Force Password/Hash Cracking Prime Number Searching Protein Folding Image Analysis / Manipulation ...
Ballou OpenCUDA + MPI
Who Uses Distributed Computing?
Google – Page Indexing Created Map-Reduce
Facebook – Data Mining Universities Many Others
Ballou OpenCUDA + MPI
The Problem(s)
”Distributed Programming” is expensive Specificity of Hardware Data Distribution Volume
Fault Tolerance
Ballou OpenCUDA + MPI
A Framework Solutions
Ease Programming Interface for Highly Parallel Distributed Computing Allow for Diversity in Computing Environment Bring together ideas from both types of distributed computing ”Jungle Computing”
Ballou OpenCUDA + MPI
Plan and Goals
Develop a framework for distributed computing over a heterogeneous cluster Develop several different solutions for vascular extraction from CT angiography scans Profile the different solutions Add Cluster/ Node Configuration and Scheduling Options
Ballou OpenCUDA + MPI
Progress
Progressing more slowly than I anticipated CUDA C/C++ and pyCUDA Cluster/ Node Administration (ongoing) mpi4py – Begin learning the MPI interface and intricacies
Ballou OpenCUDA + MPI
Continuing Progress
Continue Learning mpi4py and pyCUDA Combine mpi4py with pyCUDA ... Begin developing framework
Ballou OpenCUDA + MPI
Acknowledgements
Dr. Alark Joshi – Mentor Graphics and Visualization
