audio book
04/18/2012 Deixe um comentário
listen to an audio podcast Programming Massively Parallel
Processors with CUDA by Stanford University
http://itunes.apple.com/br/itunes-u/programming-massively-parallel/id384233322
Próximo post
02/10/2012 Deixe um comentário
Material de Otimização CUDA, do Prof. PhD Fernando Magno Quintão Pereira
http://homepages.dcc.ufmg.br/~fernando/classes/gpuOpt
http://homepages.dcc.ufmg.br/~fernando/classes/gpuOpt/jai.pdf
The OpenCL Programming Book
04/13/2010 Deixe um comentário
The book starts with the basics of parallelization, covers the main concepts, grammar, and setting up a development environment for OpenCL, concluding with source-code walkthroughs of the FFT and Mersenne Twister algorithms written in OpenCL.
It is highly recommended for those wishing to get started on programming in OpenCL.
Format: Adobe Reader (PDF)
File Size: 3.49MB
Digital: 246 pages
Price: USD 19.50
Publisher: Fixstars Corporation
Author: Fixstars Corporation (Ryoji Tsuchiyama, Takashi Nakamura, Takuro Iizuka, Akihiro Asahara, Satoshi Miki)
Published Date: 3/31/2010
.
OpenCL Programming Contents
- Introduction to Parallelization
- Why Parallell
- Parallel Computing (Hardware)
- Parallel Computing (Software)
- Conclusion
- OpenCL
- What is OpenCL?
- Historical Background
- An Overview of OpenCL
- Why OpenCL?
- Applicable Platforms
- OpenCL Setup
- Available OpenCL Environments
- Developing Environment Setup
- First OpenCL Program
- Basic OpenCL
- Basic Program Flow
- Online/Offline Compilation
- Calling the Kernel
- Advanced OpenCL
- OpenCL C
- OpenCL Programming Practice
- Case Study
- FFT (Fast Fourier Transform)
- Mersenne Twister
- Notes
- .
- Ver detalhes e comprar.
PhD Student Positions Available
04/05/2010 Deixe um comentário
[Ver]
Reference: CISTER-BD/General/01/10
Area: Multicore Systems, Adaptive RT Systems, RT Software, Cyber Physical Systems, and Sensor Networks
Application Deadline: 18, Apr, 2010
Send Application To: JOBS@cister-isep.info
Contact Person: Stefan M. Petters
Salary: up to 14,400 Euros / year (after taxes)
Duration: up to 4 years
Requirements: The candidates should have a Bachelor, Licenciate, or MSc degree in Computer Science, Computer Engineering or related fields like Electrical Engineering with strong focus on Computer Engeneering. GRE and TOEFL are welcome. Fluency in written and spoken English is required. Candidates holding a Bachelor/Licenciate degree with a GPA (Grade Point Average) greater or equal to 75% are preferred.
Novidades CUDA: (matlab, fortran)
03/13/2010 Deixe um comentário
Bringing GPU Power to Engineering Computations
MATLAB from MathWorks is a high-level language and interactive environment that enables developers to perform computationally intensive tasks faster than with traditional programming languages. Now there’s a new tool called “AccelerEyes Jacket” that provides a way for MATLAB users to easily tap into the power of CUDA GPUs for advanced computations. Tech editor Peter Varhol of Desktop Engineering writes that the AccelerEyes product “acts as kind of a traffic cop for executing code‚ diverting code to run on the GPU when appropriate.”
Read the full story: http://www.deskeng.com/articles/aaawfj.htm
PGI CUDA Fortran Webinar
PGI Fortran from the Portland Group features GPU acceleration. A live webinar will be presented by PGI to provide an intro to the product and its GPU acceleration capabilities. The webinar will take place on Wednesday‚ March 24‚ at 9:00 a.m. Pacific time.
Register now: https://www2.gotomeeting.com/register/929210147
CENAPAD o que é?
03/01/2010 1 Comentário
CENAPADs ..o que é?
Uma rede de centros de computação de alto desempenho, geograficamente distribuídos, instituída pelo Ministério da Ciência e Tecnologia (MCT). São oito (8) unidades, denominadas “Centros Nacionais de Processamento de Alto Desempenho” (CENAPADs), operadas respectivamente pela UFRGS, UFMG, UFC, UNICAMP, UFRJ, UFPE, INPE e LNCC. Este último coordena o sistema por delegação do MCT.
Maiores detalhes:
Centros Nacionais de PAD
http://www.lncc.br/sinapad/cenapads.php
Apresentação do Antônio Tadeu Azevedo Gomes(Secretario Executivo) falando da estrutura do SINAPAD no curso de Verão : CUDA – LNCC 2010.
Recursos
http://www.lncc.br/sinapad/recursos.php
UFRGS: Cluster SUN (448 CPU Cores + 1920 GPU Cores)
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