[LA-SiGMA] WORKSHOP: ALGORITHMIC TECHNIQUES TO IMPROVE PERFORMANCE IN MANY-CORE PROCESSORS (Registration Now Open)

Bety Rodriguez-Milla brodrig at cct.lsu.edu
Sat Jun 22 20:41:28 CDT 2013


Dear All,

This workshop might be of interest to you. We invite you to attend.

Regards,

-Bety


> 
> **PLEASE DISTRIBUTE**
> 
> 
> PROVEN ALGORITHMIC TECHNIQUES FOR MANY-CORE PROCESSORS WORKSHOP
> 
> @ LSU, 338 JOHNSTON; JULY 29-AUGUST 2, 2013
> 
> https://www.cct.lsu.edu/VSCSE2
> 
> Studying many current GPU computing applications, we 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. We looked for patterns among those transformations, and here present the seven most common and crucial algorithm and data optimization techniques we discovered. Each can improve performance of applicable kernels by 2-10X in current processors while improving future scalability. View complete course outline here: http://www.vscse.org/summerschool/2013/manycore.html 
> 
> Prerequisites:
> 
> Experience working in a Unix environment
> Experience developing and running scientific codes written in C or C++
> Basic knowledge of CUDA (A short online course, Introduction to CUDA, is available to registered on-site students who need assistance in meeting this prerequisite)
> Instructors:
> 
> Wen-Mei W. Hwu, professor of electrical and computer engineering and principal investigator of the CUDA Center of Excellence, University of Illinois at Urbana-Champaign
> David Kirk, NVIDIA fellow
> John Stratton, Ph.D. candidate in Electrical and Computer Engineering and author of the exercise solutions to "Programming Massively Parallel Processors - A Hands-on Approach"
> Lectures will be delivered through high-definition videoconferencing in one of LSU's state-of-the-art classrooms, enabling synchronous audio/video Q&A. In addition to the real-time lectures, students will participate in hands-on lab activities with on-site support from skilled teaching assistants. All students will have access to high-performance computing resources for the duration of the course and will receive certificates of completion from VSCSE.
> 
> Registration:  $100, Register now at the XSEDE Portal! (https://portal.xsede.org/course-calendar )
> 
> The other summer school course also being hosted by LSU CCT is on "Data Intensive Summer School, July 8 - 10, 2013 "(http://www.vscse.org/summerschool/2013/bigdata.html ) . For more information about this course check the VSCSE web page (http://www.vscse.org/summerschool/2013/index.html).
> 
> 
> 

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