TAP : A TOOL FOR EVALUATING PROCESSOR ASSIGNMENTS IN PARALLEL PROGRAMS: TAP for TASK AND DATA PARALLEL PROGRAMS - Srikanth Bhattiprolu
-20% with code BOOKS
Shipping in 15-21 days
30-day return policy
A parallel program is usually written using either data parallelism or task parallelism. With data parallelism, each processor executes the same code but operates on different data, whereas in task parallelism the program is divided into tasks, and each task is executed on a separate processor. Task and data parallelism have complementary strengths that are appropriate for different problems. However, some ... Full description
You May Also Like
TOP
AI for Good: How Real People Are Using Artificial Intelligence to Fix Things That Matter
-20% with code BOOKS
Out of stock
TOP
If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All
Eliezer Yudkowsky, Nate Soares
-20% with code BOOKS
In stock at our supplier
TOP
Gödel, Escher, Bach: An Eternal Golden Braid
-20% with code BOOKS
In stock at our supplier
TOP
AI Engineering: Building Applications with Foundation Models
-20% with code BOOKS
In stock at our supplier
TOP
The Rust Programming Language
Steve Klabnik, Carol Nichols, Chris Krycho
-20% with code BOOKS
In stock at our supplier
TOP
The Art of Game Design: A Book of Lenses
-20% with code BOOKS
In stock at our supplier
TOP
How To Think About AI: A Guide For The Perplexed
-20% with code BOOKS
In stock at our supplier
TOP
Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI
-20% with code BOOKS
In stock at our supplier
TOP
The Pragmatic Programmer: journey to mastery, 20th Anniversary Edition, 2/e: your journey to mastery, 20th Anniversary Edition
-20% with code BOOKS
In stock at our supplier
TOP
HBR Guide to Generative AI for Managers
-20% with code BOOKS
In stock at our supplier
TOP
Hackers. 25th Anniversary Edition: Heroes of the Computer Revolution
-20% with code BOOKS
In stock at our supplier
TOP
The Web Application Hacker's Handbook: Discovering and Exploiting Security Flaws
-20% with code BOOKS
In stock at our supplier
TOP
How Linux Works: What Every Superuser Should Know
-20% with code BOOKS
In stock at our supplier
TOP
Artificial Intelligence: A Modern Approach, Global Edition
-20% with code BOOKS
In stock at our supplier
TOP
Fundamentals of Software Architecture: A Modern Engineering Approach
-20% with code BOOKS
In stock at our supplier
TOP
Speak Data: Artists, Scientists, Thinkers, and Dreamers on How We Live Our Lives in Numbers
-20% with code BOOKS
In stock at our supplier
TOP
Linux Basics for Hackers, 2nd Edition: Getting Started with Networking, Scripting, and Security in Kali
-20% with code BOOKS
In stock at our supplier
TOP
Mathematics for Machine Learning
Cheng Soon Ong, A. Aldo Faisal, Marc Peter Deisenroth
-20% with code BOOKS
In stock at our supplier
Description
A parallel program is usually written using either data parallelism or task parallelism. With data parallelism, each processor executes the same code but operates on different data, whereas in task parallelism the program is divided into tasks, and each task is executed on a separate processor. Task and data parallelism have complementary strengths that are appropriate for different problems. However, some programs can benefit from their integration. One key problem with an integrated approach is the processor assignment problem, which is how to assign the different processors to tasks. Determining a good processor assignment is complex and often requires significant experimentation. We have developed a tool called TAP for executing integrated parallel programs with user defined processor assignments. This thesis describes the user interface and implementation details of TAP. We also discuss how the framework was used to study the behavior of PHOENIX, a scientific stellar atmospheric code.
More Information
| Author | Srikanth Bhattiprolu |
|---|---|
| Publisher | LAP LAMBERT Academic Publishing |
| Release year | 2010 |
| Cover type | Softcover |
| EAN | 9783843380843 |