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Intro to CUDA
,----[ Quote ]
| General Purpose computing on Graphics
| Processing Units, or GPGPU, is one of the
| hottest up-and-coming trends in software
| development. By writing code specifically to
| run on the massively parallel stream
| processors found on todayâs high-end 3-D
| graphics cards, programmers can speed up an
| array of algorithms â and not just in high-
| performance computing (HPC) applications. One
| of the most popular GPGPU architectures
| available for Linux is NVIDIAâs âCompute
| Unified Device Architectureâ (CUzDA). If you
| are looking to get started, CUDA allows you
| to write GPU-optimized code in C, using only
| a few language extensions.
`----
http://www.linux-mag.com/id/7791
Recent:
CUDA 2.2 features visual GPU profiler
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| ...GPU debugger that now works on 64-bit Linux as well as 32-bit Linux, and a
| handful of new APIs introduced in response to developer feedback.
`----
http://www.infoworld.com/d/developer-world/cuda-22-features-visual-gpu-profiler-861
NVIDIA CUDA 2.1 Beta Released
,----[ Quote ]
| Just in time before many of NVIDIA's engineers leave for the holidays, the
| first beta of CUDA 2.1 has been released. The beta for version 2.1 of the
| Compute Unified Device Architecture brings a few changes to both the SDK and
| Toolkit.
`----
http://www.phoronix.com/scan.php?page=news_item&px=Njk0Ng
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