Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
Hostname: page-component-586b7cd67f-vdxz6 Total loading time: 0 Render date: 2024-11-25T14:51:18.074Z Has data issue: false hasContentIssue false

6 - GPU Computing: A New Algorithm-to-Architecture Interaction

Published online by Cambridge University Press:  21 November 2024

Xiaodong Zhang  and
Rubao Lee
Xiaodong Zhang
Affiliation:
The Ohio State University
Rubao Lee
Affiliation:
The Ohio State University
Get access

Summary

Providing a comprehensive introduction to GPU programming and its application in data management, this chapter uses sorting algorithms as a case study. It explores how parallel programming and architecture-oriented performance tuning are integral to unlocking the full potential of GPUs as powerful computing devices. The chapter takes readers through the transformation process of a sequential bubble sorting algorithm into GPU-friendly bitonic sorting and odd–even merging sorting algorithms, illustrating the capabilities and advantages of GPU computing in data management.

Type
Chapter
Information
Data Management
Interactions with Computer Architecture and Systems
 , pp. 122 - 166
Publisher: Cambridge University Press
Print publication year: 2024

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×