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Performance Analysis and Tuning for General Purpose Graphics Processing Units (GPGPU)

Part of the Synthesis Lectures on Computer Architecture Book Series

DOI: 10.1007/978-3-031-01737-7

ISBN: 978-3-031-00609-8

Publisher: Springer International Publishing - Springer Journals

Jan 1, 2012

1 - 4 of 4 Chapters

LitStream

Chapter 1GPU Design, Programming, and Trends

Kim, Hyesoon; Vuduc, Richard; Baghsorkhi, Sara; Choi, Jee; Hwu, Wen-mei

Pages: 1 –24

[This book aims to help readers understand the key performance issues that arise when programming on general-purpose graphics processing unit (GPGPU) hardware. Although there are many excellent resources available with similar aims, this book emphasizes general principles in algorithm design and...
LitStream

Chapter 2Performance Principles

Kim, Hyesoon; Vuduc, Richard; Baghsorkhi, Sara; Choi, Jee; Hwu, Wen-mei

Pages: 25 –37

[Developing algorithms for GPGPUs is fundamentally about applying the same long-studied principles of parallelization and I/O-efficient design relevant to other shared memory parallel platforms. This chapter reviews these principles, focusing on recent results in both the theory and practice of...
LitStream

Chapter 3From Principles to Practice: Analysis and Tuning

Kim, Hyesoon; Vuduc, Richard; Baghsorkhi, Sara; Choi, Jee; Hwu, Wen-mei

Pages: 39 –48

[Having designed a high-level algorithm according to the principles of Section 2, the next step is implementation and performance engineering for scalability. Although there are no hard-and-fast rules, there are many broadly applicable heuristics. In this section, we use the theory of the...
LitStream

Chapter 4Using Detailed Performance Analysis to Guide Optimization

Kim, Hyesoon; Vuduc, Richard; Baghsorkhi, Sara; Choi, Jee; Hwu, Wen-mei

Pages: 49 –70

[In previous sections, we explained how to identify performance optimization candidates in a high level algorithm and performance analysis. The work-depth model considers primarily the actual computation work and memory operations, which are represented at a high level. In this chapter, we look...

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