Difference between revisions of "GPU610/DPS915 CUDA PI"
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== '''Progress''' == | == '''Progress''' == | ||
=== '''Assignment 1''' === | === '''Assignment 1''' === | ||
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==== '''Introduction''' ==== | ==== '''Introduction''' ==== | ||
For the initial profiling, I've decided to investigate the Monte Carlo Statistics Methodology of approximating the value of Pi. A brief explanation of Monte Carlo Pi calculation can be found here: https://www.youtube.com/watch?v=VJTFfIqO4TU | For the initial profiling, I've decided to investigate the Monte Carlo Statistics Methodology of approximating the value of Pi. A brief explanation of Monte Carlo Pi calculation can be found here: https://www.youtube.com/watch?v=VJTFfIqO4TU | ||
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==== '''Results''' ==== | ==== '''Results''' ==== | ||
[[File:Pi_serial_results.jpg|border]] | [[File:Pi_serial_results.jpg|border]] | ||
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=== '''Assignment 2''' === | === '''Assignment 2''' === | ||
| + | ==== '''Introduction''' ==== | ||
| + | In Phase 2, I've parallelized the serial program to run on a custom kernel on a CUDA-enabled device. | ||
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| + | ==== '''Compilation and Running''' ==== | ||
| + | [[File:Pi_cuda_execution_example.jpg|border]] | ||
| + | |||
| + | ==== '''Results''' ==== | ||
| + | [[File:Pi_cuda_results.jpg|border]] | ||
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| + | ==== '''Serial VS CUDA''' ==== | ||
| + | [[File:Pi_serial_vs_cuda_results.jpg|border]] | ||
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==== '''Program File(s)''' ==== | ==== '''Program File(s)''' ==== | ||
Link: https://drive.google.com/file/d/0B8GUuIUqdEJEbDBRNkhWYnpGSnM | Link: https://drive.google.com/file/d/0B8GUuIUqdEJEbDBRNkhWYnpGSnM | ||
Revision as of 23:24, 3 November 2013
GPU610/DPS915 | Student List | Group and Project Index | Student Resources | Glossary
Contents
CUDA PI Calcuation (Monte Carlo)
Team Pi CUDA
Welcome to GPU610AA Fall 2013 Team Pi CUDA Page.
My name is Peter Huang and I'm a student in the GPU610 class for the Fall Semester of 2013. Having no background whatsoever in parallel programming, I've decided to choose something that is out of my scope of understanding and interest (video game programming) to challenge myself. Thus, I've decided to investigate the benefits of parallel programming applied to the Monte Carlo statistical method to approximating the value of pi.
Announcements
Team Members
Progress
Assignment 1
Introduction
For the initial profiling, I've decided to investigate the Monte Carlo Statistics Methodology of approximating the value of Pi. A brief explanation of Monte Carlo Pi calculation can be found here: https://www.youtube.com/watch?v=VJTFfIqO4TU
Program File(s)
Link: https://drive.google.com/file/d/0B8GUuIUqdEJES3VEOGRnYmRNaEk
Compilation and Running
Results
Assignment 2
Introduction
In Phase 2, I've parallelized the serial program to run on a custom kernel on a CUDA-enabled device.
Compilation and Running
Results
Serial VS CUDA
Program File(s)
Link: https://drive.google.com/file/d/0B8GUuIUqdEJEbDBRNkhWYnpGSnM
Assignment 3
Agenda
N/A
Progress
N/A
Meetings
N/A
Discussion
N/A
