Intel Academic Community Bulletin

Subject: Intel® Academic Community News- January 15th 2009

2009 promises to be an exciting year! Momentum for parallel programming is growing stronger and new course modules featuring advances in Visual Computing are taking center stage. Take a look at our new demos and curriculum - you will see they'll be great favorites with your students. We'd love to hear what's working for you. Share your experiences today!

In this Bulletin:

•· Best Picks from 2008

•· Russian Academic Community

•· OpenMP Course, March 3

•· HPC Content for Linux

•· UEFI Curriculum

Best Picks from 2008

We had excellent content and contributions in 2008 and wanted to share some of our very favorites with you. Take a look.

•· Multi-Core Programming for Academia (also available in Spanish)

•· Multi-Core Architecture & Fundamentals Tools

•· UEFI Architecture and Technical Overview

•· University of California Berkeley Curriculum

•· Principles of Concurrent and Distributed Programming by Prof. M. Ben-Ari

What will be popular in 2009? Share YOUR materials with the community.

Russian Academic Community

Do you speak the Russian language? Make sure you have bookmarked the newly launched Russian Academic Community. Find excellent local language content and resources. For those that have suggestions or requests for Russian content, let us know. Расскажите, какие курсы по многоядерности и параллельному программированию читаете Вы.

Mark your Calendar for the OpenMP Class, March 3, 2009

If you are planning on attending SIGSCE 09 in Chattanooga, Tennessee, come early and join Intel expert Michael Wrinn for a free one-day OpenMP class at the Chattanooga Marriott hotel. Learn about new ways to enhance task parallelism with OpenMP. The class is from 1-5 pm, but technical help will be available starting at 11:30 am. Attendance is limited. For more information or to register contact us at software.college.curriculum@intel.com

Two High Performance Computing Courses Available for Linux OS

Introduction to High-Performance Computing includes the basics of high-performance cluster computing with hands-on lab exercises, use of cluster resources, application preparation, an overview of performance analysis and tuning, application debugging and porting tips.
MPI Programming and Applications Tuning combines lecture and hands-on lab exercises of parallel computation models, parallel programming, and tuning for single-node and cluster performance. Emphasis is placed on using MPI, including applying the right tools for debugging and tuning distributed memory (cluster) applications.

Unified Extensible Firmware Interface (UEFI) Curriculum