Dr. Gheith Abandah, Chair Computer Engineering Department The University of Jordan 20/4/20091.

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Presentation transcript:

Dr. Gheith Abandah, Chair Computer Engineering Department The University of Jordan 20/4/20091

 Multicore Trend  Current Performance Improvement  The Parallel Programming Challenge  The Future 20/4/20092

 Modern processor chips contain processing cores and levels of memory caches.  A multicore processor is an integrated circuit (IC) that has two or more processors for ◦ enhanced performance, ◦ reduced power consumption, ◦ and more efficient simultaneous processing of multiple tasks. 20/4/20093

CompanyProcessorYearCores IBMPower Power Power Cell20069 SunUltraSPARC T IntelCore 2 Duo20062 Itanium 2 Duo20062 Core 2 Quad20074 AMDAthlon20052 Opteron Quad /4/20094

5 276 million transistors

20/4/20096

7 234 million transistors

20/4/20098

9

10

20/4/200911

 Multicore Trend  Current Performance Improvement  The Parallel Programming Challenge  The Future 20/4/200912

20/4/200913

20/4/200914

 Multicore Trend  Current Performance Improvement  The Parallel Programming Challenge  The Future 20/4/200915

 All modern computers are parallel computers, often with 2 or more processors.  Most user applications are serial applications that use one processor. 20/4/200916

 If one core is going to do all your work, why would you buy new processors with more cores?  Processor manufacturing companies are: ◦ Promoting parallel programming by providing tools and training. ◦ Supporting research for innovative ways to utilize the multiple cores. 20/4/200917

 Parallel programming is harder than normal programming because it involves: ◦ Additional techniques ◦ Problem partitioning ◦ Synchronization ◦ Access control ◦ …  90% of programmers don’t do parallel programming. 20/4/200918

 Multicore Trend  Current Performance Improvement  The Parallel Programming Challenge  The Future 20/4/200919

 Research on better semiconductor materials to build smaller, faster, and cooler transistors.  Fine power management.  Keep tweaking the cores for more performance optimizations.  Multiple cores are here to stay.  More and larger caches.  Compilers that generate parallel threads automatically. 20/4/200920

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