[LA-SiGMA-TESC] Fwd: NVIDIA Web Cast series reminder, and links

[Jian Tao]

-------- Original Message --------
Dear LSU team -

Wanted to remind you of NVIDIA's continuing Web Cast sessions  re: GPU 
use , code development, and optimization.
Today at 1:00pm EST we have a session : _Drop In Optimized 
Libraries_ which is a topic of your interest. Link below.
CUDA 6: Drop-in Performance Optimized Libraries 
<http://news.nvidia.com/t/255419/48014288/20063/12/>

Also, Slide casts and PDFs of the 550+ talks from GTC 2014 are now 
available and you can search using the form:
GTC On-Demand 
<http://on-demand-gtc.gputechconf.com/gtcnew/on-demand-gtc.php>    Also, 
   all 173 research posters : GTC Posters page 
<http://www.gputechconf.com/presenters/posters>.


Please forward to others  interested.



Register for GTC Express
The latest offerings include:

  * Today, Wednesday, May 7 at 10 a.m. PDT, CUDA 6: Drop-in Performance
    Optimized Libraries
    <http://news.nvidia.com/t/255419/48014288/20063/12/> presented by
    the NVIDIA DevTech Team
  * An Overview of AMBER 14 - Creating the World's Fastest Molecular
    Dynamics Software Package
    <http://news.nvidia.com/t/255419/48014288/20045/13/> on Tuesday, May
    13 at 9 a.m. PDT presented by Ross C. Walker, University of
    California San Diego, Scott Le Grand, Amazon Web Services, and
    Adrian Roitberg, University of Florida
  * CUDA 6: Performance Overview
    <http://news.nvidia.com/t/255419/48014288/20062/14/> on Wednesday,
    May 14 at 10 a.m. PDT, presented by Jonathan Cohen, Senior Manager,
    CUDA Libraries and Algorithms, NVIDIA
  * Using GPUs to Accelerate Orthorectification, Atmospheric Correction,
    and Transformations for Big Data
    <http://news.nvidia.com/t/255419/48014288/20349/15/> on Tuesday, May
    20 at 8 a.m. PDT, presented by Amanda O'Connor, Senior Solutions
    Engineer, Exelis
  * An Introduction to CUDA Programming
    <http://news.nvidia.com/t/255419/48014288/20258/16/> on Wednesday,
    May 28 at 9 a.m. PDT, presented by Chris Mason, Product Manager,
    Acceleware
  * The Next Steps for Folding at home
    <http://news.nvidia.com/t/255419/48014288/20017/17/> on Tuesday,
    June 3 at 9 a.m. PDT, presented by Vijay Pande, Professor, Stanford
    University
  * Using NVIDIA GPUs for Real-time Data Processing in a Holographic
    Radar System <http://news.nvidia.com/t/255419/48014288/20350/34/> on
    Wednesday, June 4 at 9 a.m. PDT, presented by Peter Wurmsdobler,
    Lead Software Architect, Aveillant
  * GPU Architecture & the CUDA Memory Model
    <http://news.nvidia.com/t/255419/48014288/20259/35/> on Wednesday,
    July 16 at 9 a.m. PDT, presented by Chris Mason, Product Manager,
    Acceleware
  * Asynchronous Operations & Dynamic Parallelism in CUDA
    <http://news.nvidia.com/t/255419/48014288/20260/36/> on Tuesday,
    August 12 at 9 a.m. PDT, presented by Dan Cyca, Chief Technology
    Officer, Acceleware
  * Essential CUDA Optimization Techniques
    <http://news.nvidia.com/t/255419/48014288/20261/37/> on Thursday,
    October 16 at 9 a.m. PDT, presented by Dan Cyca, Chief Technology
    Officer, Acceleware

At any time, please visit GTC Express 
<http://news.nvidia.com/t/255419/48014288/14958/38/> to see the growing 
line-up of webinars and download any of those you might have missed 
<http://news.nvidia.com/t/255419/48014288/20351/39/>.

*Explore Hundreds of Sessions and Research Posters from GTC 2014*
GTC 2014 delivered hundreds of wide-ranging, cutting-edge talks and 
posters by leaders in science and research, manufacturing, media and 
entertainment, mobile computing, cloud graphics, and game development. 
Explore all of the amazing talks now on GTC On-Demand 
<http://news.nvidia.com/t/255419/48014288/14432/40/>. Delve headlong 
into the research posters by clicking here 
<http://news.nvidia.com/t/255419/48014288/16329/41/>.


Regards,

Jon Saposhnik
NVIDIA Industry Business Development
Higher Education and Research
Jsaposhnik at NVIDIA.com <mailto:Jsaposhnik at NVIDIA.com>
949.212.6491 Cell

http://www.nvidia.com/object/gpu-applications.html

http://flip.it/sxNiW



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