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Cuda tagged stories

“Hands On OpenCL” training course

Hands On OpenCL is a two-day lecture course introducing OpenCL, the API for writing heterogeneous applications. Provided are slides for around twelve lectures, plus some appendicies, complete with Examples and Solutions in C, C++ and Python. The lecture series finishes with information on porting CUDA applications to OpenCL.
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Harlan targets complexity for GPGPU programming and compiles to OpenCL

HPC programmers who are tired of managing low-level details when using OpenCL or CUDA to write general purpose applications for GPUs (GPGPU) may be interested in Harlan, a new declarative programming language designed to mask the complexity and eliminate errors common in GPGPU application development. The idea with Harlan is to keep developers focused on the high-level HPC programming challenge at hand, instead of getting bogged down with the nitty gritty details of GPU development and optimization. Harlan's syntax is based on the language Scheme, and compiles to Khronos Group's OpenCL.
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Announcing Rodinia: Accelerating Compute-Intensive Applications with Accelerators

The Rodinia Benchmark Suite is designed for heterogeneous computing infrastructures with OpenMP, OpenCL and CUDA implementations. You can find this and many other OpenCL resources on the official OpenCL resources page.
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NVIDIA Enables New Video Processing, I/O Capability for Quadro and Tesla GPUs with OpenCL and CUDA

At the International Broadcasting Convention 2011NVIDIA introduced NVIDIA GPUDirect for Video. This technology enables application developers to deliver higher quality, more realistic on-air graphics -- or take faster advantage of the parallel processing power of the GPU for image processing. This is done by permitting industry-standard video I/O devices to communicate directly with NVIDIA professional Quadro and Tesla graphics processing units (GPUs) at ultra-low latency. Nick Rashby, President, AJA Video Systems says "this will allow developers whose apps support AJA video I/O products to take better advantage of the power of NVIDIA Quadro and Tesla GPUs, resulting in low-latency access for both graphics compositing and general purpose processing using CUDA or OpenCL, with all the I/O and performance they depend on from AJA."
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GPU, CUDA, OpenCL Programming - PARLAB 2011

Bryan Catanzaro, NVIDIA Research talks discuss the CUDA and OpenCL programming models, GPU architecture, and how to write high performance code on GPUs, illustrating with case studies from application domains such as image and video processing.
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OpenCL vs CUDA misconceptions

An in-depth comparison of OpenCL and CUDA with a strong running conversation. Take look and add your opinions.
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Indigo Renderer 3.0 and Indigo RT released OpenCL and CUDA support

Glare Technologies have announced the release of a new version of their flagship rendering product: Indigo Renderer version 3.0, which now includes support for both OpenCL and CUDA. Indigo is an unbiased, physically based and photo-realistic renderer which simulates the physics of light to achieve near-perfect image realism. With an advanced physical camera model, a super-realistic materials system and the ability to simulate complex lighting situations through Metropolis Light Transport, Indigo is capable of producing the highest levels of realism demanded by architectural and product visualisation.
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GPGPU Programming course in Fremont, CA

Students learn with interactive and hands-on sessions about GPU hardware, GPU languages, discovering how best to take advantage of GPUs for their computational needs. The course covers programming in both OpenCL and CUDA, pointing out the similarities and differences along the way. Topics include both the core languages and extensions including those for double precision and interfacing with OpenGL 3D graphics buffers.
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Benchmarks : OpenCL versus CUDA/STREAM

SiSoftware has posted two OpenCL benchmarks online. One addresses GPGPU OpenGL performance, and the second CPU OpenGL performance. The conclusion: There is no reason not to port CUDA code to OpenCL now!
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NVIDIA releases CUDA Toolkit 3.2 with OpenCL support

NVIDIA has released their CUDA Toolkit 3.2. Lots of new goodness in this version, with special note the new OpenCL support. This means you can now use one toolkit for both CUDA and OpenCL. Support is currently only for Linux and Windows.
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