Presentation on theme: "Accelerating a climate physics model with OpenCL CMSC 601 Spring 11 – Research Skills Dibyajyoti Ghosh."— Presentation transcript:
Accelerating a climate physics model with OpenCL CMSC 601 Spring 11 – Research Skills Dibyajyoti Ghosh
What is climate physics model? Global weather is controlled by many interconnected events. Includes changes in atmosphere and oceans, ebb and flow of sea ice etc. Worlds most powerful super computers can simulate these events. CCSM-2 model simulate Earths climate patterns in considerable detail through 700 billion calculations to recreate a single day of the worlds climate. Scientists use these data to understand ocean currents, predict weather patterns, study O 3 layer among others. http://www.ucar.edu/communications/CCSM/overview.html
Background Solar radiation component of NASAs GEOS-v5 takes ~20% of model computation time. NASA interested in analysis of performance and cost benefit using non traditional computing systems. GEOS-v5 - 20+ old, written in Fortran (mostly), still evolving. Cannot be entirely rewritten due to production constraints. http://www.ucar.edu/communications/CCSM/overview.html
Related Work Accelerating Climate Models with the IBM Cell Processor – Shujia Zhou et al, 2008 GPU Computing for Atmospheric Modeling - Kelly, Rory NCAR, Boulder, July-Aug. 2010 Accelerating Atmospheric Modeling Through Emerging Multi-core Technologies - Linford, John Christian, Virginia Tech, 2010 Exploiting Array Syntax in Fortran for Accelerator Programming - Matthew J. Sottile, Craig E Rasmussen, Wayne N. Weseloh, Robert W. Robey, Los Alamos National Laboratory
Motivation http://www.cc.gatech.edu/~bader/AFRL-GT-Workshop2009/AFRL-GT-Bader.pdf No data on how OpenCL fares against GCC in vectorization. OpenCL - created with goal of unifying hybrid systems. No literature on OpenCL portability among architectures.
6 abcdefghijklmnop OP(a) OP(b) OP(c) OP(d) Data in Memory: VOP( a, b, c, d )VR1 abcd VR2 VR3 VR4 VR5 0123 What is vectorization? Vector Registers Vector operation Data elements packed into vectors Vector length Vectorization Factor (VF) VF = 4 original serial loop: for(i=0; i
"name": "6 abcdefghijklmnop OP(a) OP(b) OP(c) OP(d) Data in Memory: VOP( a, b, c, d )VR1 abcd VR2 VR3 VR4 VR5 0123 What is vectorization.",
"description": "Vector Registers Vector operation Data elements packed into vectors Vector length Vectorization Factor (VF) VF = 4 original serial loop: for(i=0; i
OpenCL trivia A framework for heterogeneous computing resources developed by Apple Inc. now supported by all major vendors. A subset of C language with additional features to facilitate parallel processing. http://www.khronos.org/opencl/
How data ||-ism works on OpenCL? Kernel is the code for a work item that is executed on a device (CPU or GPU or others). Imagine a NxN grid with one kernel invocation per grid.
Our Approach Used code from the production version of the NASA GEOS-v5 climate model. Step #1 – Identify computation intensive sections from the weather model. Step #2 – Port these sections to OpenCL on IBM Cell B.E. and then to Mac OSX to test on Intel CPU. Step #3 – Analyze performance and reason the performance.
Findings - I Speedup on IBM Cell B.E. with OpenCL Speedup on Mac OSX with OpenCL Serial VS parallel speedup of a code section analyzed on Mac OSX
Findings - II 1. Speedup achieved ~40x on both IBM and Intel CPUs. 2. Code NOT portable among architectures, sections of code not functioning due to incomplete OpenCL implementation on Mac OSX Intel based architecture. 3. GCC vectorization fails in certain cases compared to OpenCL. We attempted compilation of serial code with gcc -O2 -ftree-vectorize flag.
Road Ahead Making appropriate changes to the solar radiation code for Mac OS X Intel CPU based architecture. Remember some parts of the code base is non-functional on Intel CPUs. Modify the OpenCL code to run on GPUs and understand if performance is portable, in addition to code.
Summary OpenCLs attempt towards portability in high performance computing is still a long road ahead. GCC vectorization fails against OpenCL.
Acknowledgements Dr. Shujia Zhou, MC2 Lab Fahad Zafar, MC2 Lab Center for Hybrid Multicore Productivity Research, UMBC CMSC 601 folks