Accelerating a climate physics model with OpenCL
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Transcript of Accelerating a climate physics model with OpenCL
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.
• World’s most powerful super computers can simulate these events.
• CCSM-2 model simulate Earth’s climate patterns in considerable detail through 700 billion calculations to recreate a single day of the world’s climate.
• Scientists use these data to understand ocean currents, predict weather patterns, study O3 layer among others.
http://www.ucar.edu/communications/CCSM/overview.html
Background• Solar radiation component of
NASA’s 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
a b c d e f g h i j k l m n o p
OP(a)
OP(b)
OP(c)
OP(d)
Data in Memory:
VOP( a, b, c, d ) VR1
a b c dVR1
VR2
VR3
VR4
VR5
0 1 2 3
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<N; i++){ a[i] = a[i] + b[i];}
loop in vector notation:for (i=0; i<N; i+=VF) { a[i:i+VF-1] = a[i:i+VF-1] + b[i:i+VF-1];}
vectorization
Thanks to Dorit Nuzman, IBM www.hipeac.net/system/files/4_Nuzman.ppt for this wonderful slide
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
• OpenCL’s 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
http://www.asianjobportal.com/wp-content/uploads/2010/11/25_questions_interview.jpg
Vectorization Analysis - IA part of the serial code with gcc vectorization error output
Vectorization Analysis - IIA part of the OpenCL code with vectorized instruction set for the loop-construct in the last slide