The High Performance Computing (HPC) community is focused on solving the world’s biggest challenges, from advancing genomic research for combating diseases to the ability to analyze large amounts of data quickly and determine high-value predictions for guiding better decisions without human intervention. To do any of this type of work, the HPC community needs to comprise different disciplines, degree levels, and industry focus areas.
As the demand for HPC technology increases we need to ensure the talent pipeline mirrors this same trajectory. The consequences of not ensuring we have successors, I believe, will truly impact the overall future of new discoveries.
I’ve seen firsthand, as the Intel Parallel Computing Center Manager, how researchers and developers concluded far greater and more comprehensive solutions by including people with diverse perspectives and backgrounds.
This need for diversity is one of the reasons why I’m excited about Intel’s investment in a new fellowship program to enable women and under-represented minorities to pursue graduate degrees in computational and data science. This program is available to students attending a recognized graduate program in the targeted disciplines anywhere in the world. The goal is to increase the diversity of students pursuing graduate degrees in data science and computational science that historically have tended to not participate in the computing field. Intel is committed to funding $300,000 in fellowships per year for the next five years.
The program is administered by SIGHPC, the ACM Special Interest Group on High Performance Computing. SIGHPC is devoted exclusively to the needs of students, faculty, and practitioners in High Performance Computing. The group works to help spread the use of HPC, help raise the standards of the profession, and help ensure a rich and rewarding career for people involved in the field.
This is a great program and it will give students exposure to the use of computer science in applications ranging from life sciences and atmospheric studies to energy exploration and product development. At the same time, participating students can leverage the Intel Fellowship award in building their resume and personal brand.
If you’re interested in applying for the fellowship, please submit all required documentation during the period from March 15, 2016 to April 30, 2016. For more details on the qualification requirements and the nomination process, please visit the ACM SIGHPC/Intel Computational & Data Science Fellowships site.