Multicore Application Programming
for Windows, Linux, and Oracle Solaris
Nonfiction, Computers, Programming, Parallel Programming
| Author: | Darryl Gove | ISBN: | 9780321711410 |
| Publisher: | Pearson Education | Publication: | November 9, 2010 |
| Imprint: | Addison-Wesley Professional | Language: | English |
| Author: | Darryl Gove |
| ISBN: | 9780321711410 |
| Publisher: | Pearson Education |
| Publication: | November 9, 2010 |
| Imprint: | Addison-Wesley Professional |
| Language: | English |
Write High-Performance, Highly-Scalable Multicore Applications for Any Leading Hardware and OS Environment
Programmers who know how to leverage today’s multicore processors can achieve remarkable performance improvements, but multicore programming has traditionally been viewed as complex and difficult. Multicore Application Programming is the solution: a comprehensive, practical guide to high-performance multicore programming that any experienced developer can use.
Author Darryl Gove covers all leading approaches to virtualization on multiple leading platforms, including Linux, Oracle Solaris, Mac OS X, and Windows. Through practical examples, he illuminates the challenges involved in writing applications that fully utilize multicore features, helping you produce applications that are functionally correct, offer superior performance, and scale well to eight cores, sixteen cores, and beyond.
Gove reveals how specific hardware implementations impact application performance and shows how to avoid common potential programming pitfalls. Step by step, you’ll write applications that can handle large numbers of parallel threads, and you’ll master today’s most advanced parallelization techniques. You’ll learn how to:
- Identify your best opportunities to use parallelism
- Share data safely between multiple threads
- Write applications using POSIX or Windows threads
- Take advantage of automatic parallelization and OpenMP
- Hand-code synchronization and sharing
- Overcome common obstacles to scaling
- Apply new approaches to writing correct, fast, scalable parallel code
Multicore Application Programming isn’t wedded to a single approach or platform: It is for every experienced C programmer working with any contemporary multicore processor in any leading operating system environment.
Write High-Performance, Highly-Scalable Multicore Applications for Any Leading Hardware and OS Environment
Programmers who know how to leverage today’s multicore processors can achieve remarkable performance improvements, but multicore programming has traditionally been viewed as complex and difficult. Multicore Application Programming is the solution: a comprehensive, practical guide to high-performance multicore programming that any experienced developer can use.
Author Darryl Gove covers all leading approaches to virtualization on multiple leading platforms, including Linux, Oracle Solaris, Mac OS X, and Windows. Through practical examples, he illuminates the challenges involved in writing applications that fully utilize multicore features, helping you produce applications that are functionally correct, offer superior performance, and scale well to eight cores, sixteen cores, and beyond.
Gove reveals how specific hardware implementations impact application performance and shows how to avoid common potential programming pitfalls. Step by step, you’ll write applications that can handle large numbers of parallel threads, and you’ll master today’s most advanced parallelization techniques. You’ll learn how to:
- Identify your best opportunities to use parallelism
- Share data safely between multiple threads
- Write applications using POSIX or Windows threads
- Take advantage of automatic parallelization and OpenMP
- Hand-code synchronization and sharing
- Overcome common obstacles to scaling
- Apply new approaches to writing correct, fast, scalable parallel code
Multicore Application Programming isn’t wedded to a single approach or platform: It is for every experienced C programmer working with any contemporary multicore processor in any leading operating system environment.
