Graduate students, post-docs and professionals from academia, government, and industry are invited to sign up now this summer school course offered by the Virtual School of Computational Science and Engineering (http://www.vscse.org/).
The course will be delivered to sites nationwide using high-definition videoconferencing technologies, allowing students to participate at a number of convenient locations where they will be able to work with a cohort of fellow computational scientists, have access to local experts, and interact in real time with course instructors. There will be no charge for students participating at the University of Illinois' National Center for Supercomputing Applications because the usual $100 registration fee has been waived.
The Proven Algorithmic Techniques for Many-core Processors summer school will present students with the seven most common and crucial algorithm and data optimization techniques to support successful use of GPUs for scientific computing. Studying many current GPU computing applications, the course instructors have learned that the limits of an application's scalability are often related to some combination of memory bandwidth saturation, memory contention, imbalanced data distribution, or data structure/algorithm interactions. Successful GPU application developers often adjust their data structures and problem formulation specifically for massive threading and executed their threads leveraging shared on-chip memory resources for bigger impact. The techniques presented in the course can improve performance of applicable kernels by 2-10X in current processors while improving future scalability.
In addition to NCSA, other participating sites are: Clemson University; Louisiana State University; Marshall University; Michigan State University; Princeton University; Purdue University; University of California Los Angeles; University of Delaware; University of Tennessee Knoxville; University of Texas at Brownsville; University of Texas at El Paso; and University of Utah.
For more information about the Proven Algorithmic Techniques for Many-core Processors course, including pre-requisites and course topics, visit http://www.vscse.org/summerschool/2013/manycore.html.
To register, first visit the user portal for the Extreme Science and Engineering Discovery Environment (XSEDE): https://portal.xsede.org/. If this is your first use of the XSEDE portal, follow the guidelines to create a free portal account. Once you have an XSEDE portal account, you may sign up for the Virtual School courses through the XSEDE course calendar: https://portal.xsede.org/course-calendar.
For more information about the Virtual School, go to http://www.vscse.org. Questions about the summer school can be sent to info@vscse.org.
