Intel® Academic Community announces launch of Centre of Excellence at MSRIT

The Intel® Academic Community announced the launch of its Center of Excellence for faculty training at MSRIT*. This Center of Excellence at the MSRIT campus which is fully equipped with latest Intel® hardware and software aims to train 300 faculties from
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  • Intel Labs: New Research Milestone in Many-core Computing

    Parallelism get much more fun when you have enough of it... today we got to see a vision of the future with very impressive demos: The "Single-chip Cloud Computer" (SCC) - was first shown publicly today and is destined for usage in research inside and outside Intel!

    Justin Rattner announced a new research milestone in manycore computing: the most Intel architecture (IA, aka x86) processors on a single piece of silicon ever. It has 48 cores hooked together in network that mimics cloud computing on a chip level, and support highly parallel "scale-out" programming models.

    SP1 for Intel Parallel Studio - service pack worth installing!

    Intel® Parallel Studio Service Pack 1 is now available, adding support for Windows* 7.

    SP1 is well worth downloading and installing - here are some of the reasons:

      1. Parallel Inspector and Parallel Amplifier can be driven (for automating test suites) from the command line now.

      1. Bug fixes - of course - not many issues needed fixing, but you may appreciate the ones bugs that were found and fixed!

    Applications for the "Ct technology" beta program are now open.

    Today, at Intel's Developer Forum, we kicked off the application process for our upcoming beta of a product using "Ct technology."  The beta is not yet ready, but we may favor those who apply early to join our program.  (Hint, Hint)

    More information about "Ct technology" and the ability to apply for the beta program is at

    State-Phase Programming

    It has been relatively easy for us to follow the path of a serial application. The flow of the application is managed by the Stack. This makes the execution flow of a single process to be managed by CPU hardware. Today we face the need to execute several processes in parallel and thus have several execution paths at the same time. This is harder for us to manage and keeping track of this flow is complex. The hardware accelerated Stack is no longer sufficient for us and the Stack-Trace is no longer the state of the application.

    Parallelizing Legacy code using Fine Grained Distributed Processing

    Adding parallel processing to legacy code is a desire of every software company that has an existing product which is significant in complexity and which needs to run faster. Processor clock rates are not increasing much and now multiple cores are being added to chips instead. The problem of speeding up software is moving from a hardware improvement problem to a software parallelization problem. This is a follow-on post to Why Parallel Processing? Why now?
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