For Immediate Release
SC07 Communications Chair
Scholarship for Doctoral Students Pursuing HPC Research Kicks Off at SC07
October 30 Deadline Set for First Set of Fellowship Applications
Reno, NV – October 4, 2007 – The Association of Computing Machinery (ACM), IEEE-Computer Society and the SC Conference Series are pleased to announce the first year of a High Performance Computing Ph.D. Fellowship Program.
The ACM/IEEE-CS HPC Ph.D. Fellowship Program honors exceptional Ph.D. students throughout the world focusing on research in High Performance Computing, Networking, Storage and Analysis. HPC covers the areas of computational sciences, computational engineering and computer science using the most powerful computers available at a given time. The ACM/IEEE-CS HPC Ph.D. Fellowship Program also supports our long-standing commitment to workforce diversity and encourages nominations of women, minorities and all who contribute to diversity.
Exceptional candidates are encouraged to apply; the deadline for Fellowship Applications is Oct 30, 2007.
Students must be nominated by a full time faculty member at a PhD granting, accredited institution. They must be enrolled in a full-time Ph.D. program at an accredited college or university, and they should have completed at least one year of study in their doctoral program at the time of their nomination. Fellowship recipients will be selected based on:
All applicants must meet minimum scholarship requirements at the institution where they are or will be registered.
Completed applications should be submitted with nomination and endorsement letters by October 30, 2007 to email@example.com. More information on the scholarship is available at http://www.sigarch.org/HPC_Fellowships.html.
SC07, sponsored by ACM and IEEE Computer Society, will showcase how high-performance computing, networking, storage and analysis lead to advances in research, education and commerce. This premiere international conference includes technical and education programs, workshops, tutorials, an exhibit area, demonstrations and hands-on learning. For more information, please visit http://sc07.supercomputing.org/.