IEEE webinar:

Tuesday, June 16, 2009
2:00 PM ET / 11:00 AM PT/ 18:00 GMT (Duration: 1 hour)

Until now, C and C++ developers targeting GPU accelerators have had to rely on language extensions to their programs. Use of GPUs from Fortran applications has been extremely limited. x64+GPU programmers have been required to program at a detailed level including a need to understand and specify data usage information and manually construct sequences of calls to manage all movement of data between the x64 host and GPU.

Learn how the PGI x64+GPU compilers automatically analyze whole program structure, split portions of the application between the x64 CPU and GPU as specified by user directives; and then generate an optimized mapping of loops to automatically use the parallel cores, hardware threading capabilities and SIMD vector capabilities of modern GPUs.

Also in this webinar learn how these compilers will support user directives that give the programmer fine-grained control over the mapping of loops, allocation of memory, and optimization for the GPU memory hierarchy. The PGI compilers generate unified x64+GPU object files and executables that manage all movement of data to and from the GPU device while leveraging all existing host-side utilities—-linker, librarians, makefiles--and require no changes to the existing standard HPC Linux/x64 programming environment.

Presenter:
Michael Wolfe, Compiler Engineer at The Portland Group
He is PhD in Computer Science from the University of Illinois, and his responsibilities include deep compiler analysis and optimizations. He has published a textbook, "High Performance Compilers for Parallel Computing", and a monograph, "Optimizing Supercompilers for Supercomputers," and many technical papers.

Moderator: Ron Schneiderman
Author, The Mobile Technology Question & Answer Book — A Survival Guide for Business Managers and Technology Lost — Hype and Reality in the Digital Age
Contributing Editor, Electronic Design and Vision magazines
Founding Editor, Wireless Systems Design magazine

WHO SHOULD ATTEND:

* Programmers interested in porting their applications to run on x64+GPU accelerators
* Engineering Management
* Academia

Register now for this Webinar!