Starting from foundation principles, this three-day course introduces concepts and approaches common to all implementations of parallel programming for shared-memory systems. Topics include recognizing parallelism opportunities, dealing with sequential constructs, using threads to implement data and functional parallelism, discovering dependencies and ensuring mutual exclusion, analyzing and improving threaded performance, and choosing an appropriate threading model for implementation.

* NOTE: This course is offered by Intel's partner, Element K.  For more information, visit http://go.elementk.com/LearnAboutThePowerOfN

After completing this course, you should be able to:

• Recognize best parallelism opportunities
• Implement and tune simple parallel algorithms with threads
• Avoid common threading bugs

• Recognizing Parallelism
• Shared memory and threads
• Implementing domain decompositions
• Confronting race conditions
• Implementing task decompositions
• Analyzing Parallel Performance
• Improving Parallel Performance
• Choosing the appropriate thread model

Developers seeking maximum performance of their products/ applications on threaded, multi-core and multi-processor systems