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

[Jian Tao]

-------- Original Message --------
Subject: 	[Events] WORKSHOP: ALGORITHMIC TECHNIQUES TO IMPROVE
PERFORMANCE IN MANY-CORE PROCESSORS (Registration Now Open)
Date: 	Fri, 21 Jun 2013 10:42:47 -0500
From: 	Karen Jones <kjones at cct.lsu.edu>
To: 	events at cct.lsu.edu

***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*
<https://portal.xsede.org/course-calendar>*at the XSEDE Portal!*

*The other summer school course also being hosted by LSU CCT is on
"*Data Intensive Summer School
<http://www.vscse.org/summerschool/2013/bigdata.html>, July 8 - 10, 2013
*" . For more information about this course check the **VSCSE web page*
<http://www.vscse.org/summerschool/2013/index.html>*.*


Karen Cade Jones
Assistant Director, Outreach & Events
Center for Computation & Technology
Louisiana State University
225-578-0595
kjones at cct.lsu.edu <mailto:kjones at cct.lsu.edu>








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