CUDA: Week in Review
Tue., Jan. 10, 2012, Issue #68 - Newsletter Home


Welcome to the online newsletter for the worldwide CUDA, GPGPU and parallel programming ecosystem.
Top 10 New Year's Resolutions
Dr. Monish Tandale, Optimal Synthesis
WIRED Magazine on Genomics and GPUs
NVIDIA CARMA Devkit Pre-Registration
University of Canterbury's GPU Computing Group
New Hybrid GPU Cluster at Bielefeld University
Follow @GPUComputing on Twitter


Happy New Year to the GPU computing community! To usher in 2012, the NVIDIA team suggests these Top 10 New Year's Resolutions:
  1. Promote your apps and papers on CUDA Zone
  2. Join or start a GPU Meetup in your city
  3. Download CUDA Toolkit 4.1 RC2
  4. Sign up for CARMA (CUDA on ARM devkit) updates
  5. Nominate a colleague for a CUDA Spotlight interview
  6. Attend a GPU computing webinar
  7. Submit a poster for GTC 2012
  8. Accelerate your Fortran app with directives
  9. Become a CUDA Registered Developer
  10. Fill out the 1-minute reader survey to help us improve in 2012!


GPU-Accelerated Air Traffic Management
Our first spotlight of 2012 is on Dr. Monish Tandale, Research Scientist at Optimal Synthesis Inc. (OSI), a high-tech R&D firm specializing in algorithm and software development. Here's a preview of the interview:
Dr. Monish Tandale
NVIDIA: Monish, tell us about OSI's work with the NASA Ames Research Center.
Monish: At any given moment, there are over 7000 aircraft flying in the skies of the U.S. This number is only going to increase, adding more complexity to air traffic flow management. The project we are working on with NASA is related to NextGen, a
multi-agency initiative to improve the coordination of air traffic flow in the U.S. National Airspace System (NAS).
NVIDIA: What advantages have you achieved with GPU computing?
Monish: Using CUDA and GPU computing we were able to achieve a 250X speedup over NASA’s baseline software. The shallow learning curve associated with CUDA allowed us to smoothly transition from C/C++ based CPU programming to parallel computing on GPUs.
- Watch the video on YouTube
- Read the full interview with Monish Tandale


back to the top

WIRED Magazine on Genomics and GPUs

The WIRED article "Chinese Crunch Human Genome With Videogame Chips" reports on groundbreaking work at Shenzhen-based BGI. Author Eric Smalley writes: "The world’s largest genome sequencing center once needed four days to analyze data describing a human genome. Now it needs just six hours."

NVIDIA CARMA Devkit Pre-Registration

You can now pre-register for the NVIDIA CARMA Devkit (the CUDA on ARM development kit announced at SC11). It features a Tegra 3 quad-core CPU and Quadro 1000M CUDA GPU and will be available for purchase in the second quarter of the year.

University of Canterbury's GPU Computing Group

The University of Canterbury in New Zealand launched a new group for researchers, developers and students interested in GPU computing. GPU professionals and enthusiasts are welcome to attend the monthly meetings and tutorials.

New Hybrid GPU Cluster at Bielefeld University

Bielefeld University in Germany will install a new hybrid supercomputer for quantum chromodynamics. Equipped with 400 Tesla GPUs, it will have a cumulative peak performance of ~500 teraflops.


back to the top
The GPU Meetups are starting strong in January. Congrats to the brand-new Meetup in Paris, led by Jerome Piat, which will hold its first event on Jan. 25. And, a big thank you to Andrew "Shep" Sheppard for his enthusiastic nurturing of the GPU Meetup community. Here's a list of upcoming meetings:

GPU Meetup New Mexico, Jan. 11, 7:00 pm
GPU Meetup Boston, Jan. 12, 6:30 pm
GPU Meetup Southern California, Jan. 19, 7:00 pm
GPU Meetup South Florida, Jan. 23, 6:30 pm
GPU Meetup New York, Jan. 23, 6:00 pm
GPU Meetup Silicon Valley, Jan. 30, 6:15 pm

GPU Meetup Paris, Jan. 25, 7:00 pm
GPU Meetup London, Jan. 25, 7:00 pm

GPU Meetup Brisbane, Jan. 19, 6:00 pm

CUDA Calendar

back to the top
- Debugging Workshop for CUDA 4.1 using Allinea DDT (Webinar)
Jan. 10, 2012, 10 am PT
Presenter: David Lecomber, CTO, Allinea Software

- Accelerating SEISMIC_CPML Using High-level GPU Programming (Webinar)
Jan. 18, 2012, 9 am PT
Presenter: Mat Colgrove, The Portland Group

- GPU Computing with CUDA and PGI Directives - Applied Parallel Computing
Jan. 16-18, 2012, Munich, Germany

- Intro to Bright Cluster Manager - Advanced Clusters Made Easy (Webinar)
Jan. 19, 2012, 10 am PT

- CUDA 4-Day Training Course - Acceleware and Microsoft
Jan. 24-27, 2012, Seattle, Washington

- GPUs in Computational Statistics Workshop
Jan. 25, 2012, Coventry, England
Presented by University of Warwick

- CUDA Programming 1-Day Course - Delft University of Technology
Feb. 3, 2012, Delft, Netherlands

- CUDA GPU Programming 2-Day Workshop
Feb. 4, 2012, Berlin, Germany
Presenter: Dr. Kashif Rasul, Freie Universitat Berlin

- GPU Computing with CUDA and PGI Directives - Applied Parallel Computing
Feb. 5-8, 2012, Dublin, Ireland

- PRACE Winter School at CINECA
Hybrid Programming on Massively Parallel Architectures
Feb. 6-11, 2012, Bologna, Italy

- Transformative Discovery in Comp. Nanoscience, Advanced Materials, Energy Research
Feb. 6-8, 2012, Oak Ridge, Tennessee
Note: Joint workshop between ORNL and University of Tennessee

- CUDA 4-Day Training Course - Acceleware and Microsoft
Feb. 7-10, 2012, New York, New York

- Debugging CUDA with TotalView (Webinar)
Feb. 22, 2012, 9 am PT
Presenter: Chris Gottbrath, Rogue Wave Software

March 3, 2012, London, England

- CUDA 4-Day Training Course - Acceleware and Microsoft
March 6-9, 2012, Sunnyvale, Calif.

- CUDA 4-Day Training Course - Acceleware and Microsoft
March 20-23, 2012, Houston, Texas
Note: Oil and Gas focused

- SPIE: Defense, Security and Sensing
April 23-27, 2012, Baltimore, Maryland
Note: GPU for Defense Applications session, April 25, by Eric Kelmelis, EM Photonics

- INPAR 2012
May 13-14, 2012, San Jose, Calif.

- GPU Technology Conference (GTC 2012)
May 14-17, 2012, San Jose, Calif.

- Workshop on Emerging Parallel Architectures (WEPA 2012)
June 2-4, 2012, Omaha, Nebraska

(To list an event, email:


back to the top


– CUDA Toolkit:
– Parallel Nsight:


– Parallel Nsight:

CUDA Registered Developer Program

– Sign up:


– List of CUDA-enabled GPUs:

CUDA on the Web

– Learn more about CUDA on CUDA Zone:
– See previous issues of CUDA: Week in Review:
– Follow CUDA & GPU Computing on Twitter:
– Network with other developers:
– Stay tuned to GPGPU news and events:
– Check out the NVIDIA Research page:

CUDA Recommended Reading

– CUDA books:

CUDA Recommended Viewing

– GTC Express:
– SC11 presentations:


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 as well as APIs such as OpenCL and DirectCompute. Send comments and suggestions to:
Click here to opt in specifically to CUDA: Week in Review.
Copyright © 2012 NVIDIA Corporation. All rights reserved. 2701 San Tomas Expressway, Santa Clara, CA 95050.