Welcome to CUDA: WEEK IN REVIEW, a news summary for the worldwide CUDA, GPGPU and parallel programming community. |
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CUDA TECH TIP: ArrayFire is an easy-to-use GPU matrix library developed by AccelerEyes. ArrayFire wraps GPU memory into a simple "array" object, enabling developers to process vectors, matrices and volumes on the GPU using high-level routines. Read more. |
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CUDA SPOTLIGHT |
GPUs for Seismic Imaging
This week’s Spotlight is on Paulo Souza of Petrobras, the Brazilian multinational energy company in Rio de Janeiro.
Paulo started working with GPUs in 2006, when he ported seismic imaging applications to CUDA.
At SC12 last week, Petrobras won the HPCwire Readers’ Choice award for "Best Use of HPC in the Oil and Gas Industry." Read our interview with Paulo Souza. |
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CUDA NEWS |
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GPU THESIS WATCH |
Title: Power Aware Computing on GPUs
Author: Kiran Kumar Kasichayanula, Univ. of Tennessee
Advisor: Dr. Gregory D. Peterson
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CUDA JOB OF THE WEEK |
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Join the GPU computing revolution. NVIDIA is seeking highly-motivated people for the following positions:
System Software Development Manager to lead team of world-class developers delivering CUDA driver and runtime software.
CUDA Library Software Engineers to develop performance application libraries and benchmarks for next generation GPUs. |
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FROM THE BLOGOSPHERE |
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New on the Parallel Forall Blog:
Query Device Properties and Handle Errors in CUDA Fortran, by Greg Ruetsch
Thinking Parallel: Collision Detection on the GPU, by Tero Karras
Easy Introduction to CUDA C and C++, by Mark Harris |
New on the NVIDIA blog:
World’s Fastest Computer is a Time Machine, by Brian Caulfield
New CUDA Research and Teaching Centers, by Chandra Cheij
GPUs Speed Diagnoses of Heart Problems, by Brian Caulfield |
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GPU MEETUPS |
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Find a GPU Meetup in your location, or start one up. Upcoming meetings include:
Brisbane, Nov. 22
New York, Nov. 29
Silicon Valley, Dec. 3
Perth, Dec. 5
Boston, Dec. 14
Paris, Dec. 18
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CUDA CALENDAR |
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CUDA and Parallel Programming Course
Nov. 21-25, 2012, Riga Technical University
Sponsored by Applied Parallel Computing |
Parallel Computing with GPUs and CUDA for Finance
Nov. 29, 2012, 5:30 pm, Baruch College, New York, New York
Note: An Introduction for Financial Services Developers |
Parallel Computing with GPUs and CUDA for Finance
Dec. 3, 2012, 5:30 pm, Microsoft, London, UK
Note: An Introduction for Financial Services Developers |
GPUs in the Cloud
Dec. 3-6, 2012, Taipei, Taiwan |
4-Day CUDA Course, with Finance Focus (Acceleware)
December 4-7, 2012, New York, New York
Instructor: Dr. Kelly Goss, Acceleware |
Many-Core Developer Conference (UKMAC 2012)
Dec. 5, 2012, University of Bristol, UK |
CUDA and OpenACC (HPC@LR)
Dec. 6, 2012, Montpellier, France
Note: HPC@LR is the HPC competency center for Languedoc-Roussillon |
Getting Started with ArrayFire: 30-Minute Jump Start (Webinar)
Dec. 13, 2012
Sponsored by AccelerEyes |
2013
GPU Tech Conference (GTC 2013)
(To list an event, email: cuda_week_in_review@nvidia.com) |
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CUDA RESOURCES |
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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 for programming on the CUDA architecture, supporting standard computing languages such as C, C++ and Fortran. Send comments and suggestions on the newsletter to cuda_week_in_review@nvidia.com
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Copyright © 2012 NVIDIA Corporation. All rights reserved. 2701 San Tomas Expressway, Santa Clara, CA 95050. |
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