[LA-SiGMA-TESC] FW: NVIDIA Update: CUDA Week in Review (Spotlight on Michela Taufer, Univ. of Delaware; CUDA 6.5)

Thu Aug 21 11:01:57 CDT 2014

FYI

Wei Feinstein, Ph.D.
Center for Computation and Technology
Computational Biology
Louisiana State University
E-mail: wfeinstein at lsu.edu
Lab: http://brylinski.cct.lsu.edu/
Office: 401 Choppin Hall, 2060 DMC
Tel: 251-599-3814

________________________________
From: NVIDIA <news at nvidia.com>
Sent: Thursday, August 21, 2014 9:46 AM
To: Wei P Feinstein
Subject: NVIDIA Update: CUDA Week in Review (Spotlight on Michela Taufer, Univ. of Delaware; CUDA 6.5)

        Share:          [Facebook]  <http://news.nvidia.com/t/272575/50396074/21313/10/>        [Twitter]  <http://news.nvidia.com/t/272575/50396074/21314/11/>         [Linked-in]  <http://news.nvidia.com/t/272575/50396074/21315/12/>       [Google]  <http://news.nvidia.com/t/272575/50396074/21316/13/>  [Reddit]  <http://news.nvidia.com/t/272575/50396074/21317/14/>  [Stumbleupon]  <http://news.nvidia.com/t/272575/50396074/21318/15/>     [email]  <http://news.nvidia.com/t/272575/50396074/21319/16/>

[CUDA Week in Review Newsletter] <http://news.nvidia.com/t/272575/50396074/12853/17/>
Thurs., Aug. 21, 2014, Issue #114       Read Newsletter Online<http://news.nvidia.com/t/272575/50396074/21301/34/> | See Previous Issues<http://news.nvidia.com/t/272575/50396074/14799/35/>
Welcome to CUDA: Week In Review
News and resources for the worldwide GPU and parallel programming community.

CUDA PRO TIP

Pointer aliasing is an important topic to understand when considering optimizations for your C/C++ code. In this tip we describe a simple way to alter your code so aliasing does not harm CUDA application performance. Read about it on the Parallel Forall blog<http://news.nvidia.com/t/272575/50396074/21306/36/>.

CUDA SPOTLIGHT

[Dr. Michela Taufer] GPU-Accelerated Science
This week's Spotlight is on Dr. Michela Taufer of the University of Delaware. Michela heads the Global Computing Lab (GCLab), which focuses on high-performance computing and its application to the sciences.

Michela comments: "My team's work is all about rethinking application algorithms to fit on the GPU architecture in order to get the most out of the GPU's computing power, while preserving the scientific accuracy of the simulations. This has resulted in many exciting achievements!" Read the Spotlight<http://news.nvidia.com/t/272575/50396074/21320/37/>.

CUDA NEWS

CUDA 6.5 Available Now
The CUDA 6.5 Production Release is now available to the public<http://news.nvidia.com/t/272575/50396074/21333/38/>. Highlights include support for 64-bit ARM-based systems and Microsoft Visual Studio 2013 (VC12). Download CUDA 6.5<http://news.nvidia.com/t/272575/50396074/5887/39/>.

GPU Technology Conference 2015: Call for Submissions
The Call for Submissions<http://news.nvidia.com/t/272575/50396074/21276/40/> for the GPU Technology Conference (March 17-20, 2015) is now open. If you use GPUs in your work, science or research, consider submitting a proposal to share your accomplishments with a global audience.

Global Impact Award: Now Accepting Applications
The NVIDIA Global Impact Award<http://news.nvidia.com/t/272575/50396074/20057/41/> is an annual grant of $150,000 for groundbreaking work using NVIDIA technology to address social and humanitarian problems. Researchers, non-profits and universities anywhere in the world may apply. Nominations are due Oct. 31.

CUDA Coding Challenge Launched in India
The NVIDIA team in India has launched a CUDA Coding Challenge<http://news.nvidia.com/t/272575/50396074/21303/42/>, an India-wide contest to encourage parallel programming innovation. The challenge is open through Aug. 31.

New Video: GPUs and MATLAB
In a new video from MathWorks<http://news.nvidia.com/t/272575/50396074/21304/43/>, Dan Doherty describes how MATLAB users can leverage GPUs to accelerate computationally-intensive applications in areas such as image processing, signal processing and computational finance. Dan discusses the GPU-enabled functionality in MATLAB and add-on toolboxes, and demonstrates how to integrate custom CUDA kernels into MATLAB.

UPCOMING GPU WEBINARS
        back to the top

Aug. 26: CUDA 6.5 Overview and Features<http://news.nvidia.com/t/272575/50396074/21292/44/>, U. Kapasi
Sept. 17: CUDA 6.5 Performance Overview<http://news.nvidia.com/t/272575/50396074/21293/45/>, J. Cohen
Sept. 24: Convolutional Networks: ML for Computer Perception<http://news.nvidia.com/t/272575/50396074/21122/46/>, Y. LeCun, Facebook & NYU
Sept. 25: HOOMD-blue 1.0: MD on GPUs<http://news.nvidia.com/t/272575/50396074/20945/47/>, J. Anderson, J. Glaser, University of Michigan
Oct. 15: Essential CUDA Optimization Techniques<http://news.nvidia.com/t/272575/50396074/20261/48/>, C. Mason, Acceleware

NEW ON THE BLOG
        back to the top

[Subscribe to the Parallel Forall RSS feed] <http://news.nvidia.com/t/272575/50396074/15358/49/> Parallel Forall:
10 Ways CUDA 6.5 Improves Performance and Productivity<http://news.nvidia.com/t/272575/50396074/21333/50/>, M. Harris
Unified Memory: Now for CUDA Fortran Programmers<http://news.nvidia.com/t/272575/50396074/21305/51/>, M. Harris
CUDA Pro Tip: Optimize for Pointer Aliasing<http://news.nvidia.com/t/272575/50396074/21306/52/>, J. Appleyard
Accelerate R Applications with CUDA<http://news.nvidia.com/t/272575/50396074/21307/53/>, P. Zhao
Calling CUDA-accelerated Libraries from MATLAB: A CV Example<http://news.nvidia.com/t/272575/50396074/21308/54/>, J.Knight, MathWorks

NVIDIA:
NYU Explores Frontier of Data Science, Joins New CUDA Centers<http://news.nvidia.com/t/272575/50396074/21309/55/>, C. Cheij

CUDA CALENDAR
        back to the top

AUGUST-SEPTEMBER

Euro-Par 2014<http://news.nvidia.com/t/272575/50396074/21027/58/>
        Aug. 25-29, 2014, Porto, Portugal

CUDA Course (Acceleware)<http://news.nvidia.com/t/272575/50396074/21028/59/>
        Sept. 2-5, 2014, Houston, Texas
(Oil and Gas focus)

GPUs in Databases (ADBIS Workshop)<http://news.nvidia.com/t/272575/50396074/21029/60/>
        Sept. 7, 2014, Ohrid, Republic of Macedonia

GPU Computing for Oil & Gas (EAGE Workshop)<http://news.nvidia.com/t/272575/50396074/21030/61/>
        Sept. 7-10, 2014, Crete, Greece

ICPP-2014 (Conference on Parallel Processing)<http://news.nvidia.com/t/272575/50396074/21031/62/>
        Sept. 9-12, 2014, Minneapolis, Minn

GPU Computing in Physics and Astrophysics<http://news.nvidia.com/t/272575/50396074/21032/63/>
        Sept. 15-17, 2014, Rome, Italy
Presenters include Massimiliano Fatica, NVIDIA

Deep Learning Unbounded: Intelligence as a Service<http://news.nvidia.com/t/272575/50396074/21336/64/>
        Sept. 16, 2014, Stanford, Calif.
Sponsored by VLAB

IEEE Cluster 2014<http://news.nvidia.com/t/272575/50396074/21034/65/>
        Sept. 22-26, 2014, Madrid, Spain

CUDA Course (Acceleware)<http://news.nvidia.com/t/272575/50396074/21035/66/>
        Sept. 23-26, 2014, Frankfurt, Germany

OCTOBER-DECEMBER

OpenACC Hackathon (ORNL)<http://news.nvidia.com/t/272575/50396074/21310/67/>
        Oct. 17-31, 2014, Oak Ridge, Tenn

Oil & Gas Workshop (Univ. of Houston/OpenACC)<http://news.nvidia.com/t/272575/50396074/21311/68/>
        Oct. 20, 2014, Houston, Texas

Computational Biophysics Workshop (UIUC, Georgia Tech)<http://news.nvidia.com/t/272575/50396074/21312/69/>
        Nov. 3-7, 2014, Atlanta, Georgia

SC14<http://news.nvidia.com/t/272575/50396074/21036/70/>
        Nov. 16-21, 2014, New Orleans, Louisiana

CUDA Course (Acceleware)<http://news.nvidia.com/t/272575/50396074/21037/71/>
        Dec. 2-5, 2014, New York
(Finance focus)

(To list an event, email: cuda_week_in_review at nvidia.com<mailto:cuda_week_in_review at nvidia.com>)

CUDA RESOURCES
        back to the top

NVIDIA Developer Forums

Join us on the NVIDIA DevTalk forums<http://news.nvidia.com/t/272575/50396074/15092/72/> to share your experience and learn from other developers. You can also ask questions on Stack Overflow<http://news.nvidia.com/t/272575/50396074/15801/73/>, using the ’cuda’ tag.
CUDA Documentation

The CUDA documentation<http://news.nvidia.com/t/272575/50396074/15428/74/> site includes release notes, programming guides, manuals and code samples.
Online Learning

Udacity<http://news.nvidia.com/t/272575/50396074/16103/75/> | Coursera<http://news.nvidia.com/t/272575/50396074/14907/76/> | APC Russia<http://news.nvidia.com/t/272575/50396074/18777/77/>
GPU-Accelerated Libraries

Adding GPU acceleration to an application can be as easy as calling a library function. Check out these high-performance libraries<http://news.nvidia.com/t/272575/50396074/20717/78/> from NVIDIA and partners.
CUDA Consulting

Training, programming and project development services are available from CUDA consultants<http://news.nvidia.com/t/272575/50396074/14783/79/> around the world. To be considered for inclusion on list, email: cuda_week_in_review at nvidia.com<mailto:cuda_week_in_review at nvidia.com?subject=CUDA%20Consulting>.
GPU Test Drive

Want to try Tesla K40 for free? Sign up here<http://news.nvidia.com/t/272575/50396074/14741/80/>.
CUDACasts

Check out our new series of short videos about CUDA<http://news.nvidia.com/t/272575/50396074/17997/81/>.
Tell Us Your CUDA Story

If you are a CUDA developer, tell us how you are using CUDA<http://news.nvidia.com/t/272575/50396074/15770/82/>.
GPU-Accelerated Apps

See updated list of 270+ GPU-accelerated applications<http://news.nvidia.com/t/272575/50396074/15350/83/>.
GPU Meetups

Learn about Meetups<http://news.nvidia.com/t/272575/50396074/18180/84/> in your city, or start one up.
GPU Computing on Twitter

For daily updates about GPU computing and parallel programming, follow @gpucomputing<http://news.nvidia.com/t/272575/50396074/5235/112/> on Twitter.
Downloads

CUDA<http://news.nvidia.com/t/272575/50396074/5887/113/>
Nsight<http://news.nvidia.com/t/272575/50396074/14734/114/>
CUDA on the Web

CUDA Spotlights<http://news.nvidia.com/t/272575/50396074/14800/115/>
CUDA Newsletters<http://news.nvidia.com/t/272575/50396074/14799/116/>
CUDA Zone<http://news.nvidia.com/t/272575/50396074/15199/117/>
GPU Test Drive<http://news.nvidia.com/t/272575/50396074/14471/118/>
GPUComputing.net<http://news.nvidia.com/t/272575/50396074/14115/156/>
GPGPU.org<http://news.nvidia.com/t/272575/50396074/14116/157/>

NVIDIA Newsletters

Sign up for NVIDIA Newsletters<http://news.nvidia.com/t/272575/50396074/16677/158/>, including Media & Entertainment, GeForce, NVIDIA GRID VDI and Shield.

Please fill out our reader survey<http://news.nvidia.com/t/272575/50396074/18969/159/> so we can improve in 2014. Thanks!

ABOUT CUDA

CUDA® is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU). NVIDIA provides a complete toolkit<http://news.nvidia.com/t/272575/50396074/12169/160/> for programming on the CUDA architecture, supporting standard computing languages such as C, C++ and Fortran<http://news.nvidia.com/t/272575/50396074/12042/161/>. Send comments to cuda_week_in_review at nvidia.com<mailto:cuda_week_in_review at nvidia.com>

[NVIDIA - World Leader in Visual Computing Technologies] You are receiving this email because you have previously expressed interest in NVIDIA products and technologies. Click here<http://news.nvidia.com/t/272575/50396074/5706/162/> to opt in specifically to CUDA: Week in Review.

Feel free to forward this email to customers, partners and colleagues.

To ensure that messages from NVIDIA arrive in your inbox safely, please add news at nvidia.com<mailto:news at nvidia.com> to your e-mail address book or Safe Sender list.

Please note that this message was sent to the following email address: ( wfeinstein at lsu.edu<mailto:wfeinstein at lsu.edu>)
If you would like to stop receiving CUDA Week in Review emails from NVIDIA, click here to unsubscribe<http://news.nvidia.com/t/272575/50396074/18595/164/?f566cc7b=NTAzOTYwNzQuY2NkMThkNzIwMGNmOGJkOGUwMDVhM2I5YmMyNjNhY2M%3d&e5e2987d=MjcyNTc1&84eaaf11=Z3B1Y29tcHV0aW5n&x=a9678668>.
If you would like to stop receiving all emails from NVIDIA, click here to unsubscribe<http://news.nvidia.com/t/272575/50396074/14682/165/?f566cc7b=NTAzOTYwNzQuY2NkMThkNzIwMGNmOGJkOGUwMDVhM2I5YmMyNjNhY2M%3d&e5e2987d=MjcyNTc1&x=a4332f95>.

-------------- next part --------------
An HTML attachment was scrubbed...
URL: https://mail.loni.org/mailman/private/lasigma-gpu/attachments/20140821/2bde8604/attachment-0001.html 