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Programming Massively Parallel Processors, 3rd Edition
book

Programming Massively Parallel Processors, 3rd Edition

by David B. Kirk, Wen-mei W. Hwu
November 2016
Intermediate to advanced content levelIntermediate to advanced
576 pages
18h 22m
English
Morgan Kaufmann
Content preview from Programming Massively Parallel Processors, 3rd Edition
Chapter 14

Application case study—non-Cartesian magnetic resonance imaging

An introduction to statistical estimation methods

Abstract

This chapter presents an application study on using CUDA C and GPU computing to accelerate an iterative solver for reconstruction of an MRI image from Non-Cartesian scan data. It covers the process of identifying the appropriate type of parallelism, loop transformations, mapping data into constant memory, mapping data into registers, data layout transformations, using special hardware instructions, and experimental tuning. It also demonstrates a process of validating the design choices with domain-specific criteria.

Keywords

Statistical estimation methods; matrix–vector multiplication; linear solvers; iterative methods; ...

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Publisher Resources

ISBN: 9780128119877