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Digital Signal Processing, Data Analytics, Big Data, HPC, Deep Learning, GPGPU, Distributed and Parallel Computing
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OpenCL™ 2.0 - Image Enhancements - AMD

OpenCL 2.0 introduces several image-processing enhancements. One is a read_write access qualifier that allows your code to read from and write to certain image types in the same kernel.
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OpenCL™ 2.0 is here! Download the Release 2 of Intel® SDK for OpenCL™ Applications 2014

Dear Developers,

We are happy to announce the availability of our latest and most advanced SDK for OpenCL: Release 2 of Intel® SDK for OpenCL SDK 2014 is the industry’s first SDK to provide an OpenCL 2.0 development environment with the new Intel® Core™ M Processors.

This major advance in graphics programmability and accessibility will help you make greater use of the graphics engine to deliver new experiences on Intel-based platforms 

New with SDK 2014 Release 2:
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Kyle Lutz: Boost.Compute v0.3 Released

Boost.Compute is a header-only C++ library for GPGPU and parallel-computing based on OpenCL. It is available on GitHub and instructions for getting started can be found in the documentation.

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Intel® SDK for OpenCL* Applications – Frequently Asked Questions | Intel® Developer Zone

Intel® SDK for OpenCL* Applications – Frequently Asked Questions | Intel® Developer Zone | EEDSP | Scoop.it
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Intel® SDK for OpenCL* Applications 2013 Release Notes | Intel® Developer Zone

Intel® SDK for OpenCL* Applications 2013 Release Notes | Intel® Developer Zone | EEDSP | Scoop.it

Intel® SDK for OpenCL* Applications 2013 is a comprehensive software development environment for OpenCL applications on the 3rd and the future 4th Generation Intel® Core™ processors, which support OpenCL 1.2 on Windows 7* and Windows 8* operating systems

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Intel® SDK for OpenCL* Applications Samples Getting Started

Intel® SDK for OpenCL* Applications Samples Getting Started | EEDSP | Scoop.it

Intel® SDK for OpenCL* Applications is a software developer environment for OpenCL* applications that includes access to OpenCL* runtime and a compiler for Intel platforms on both Intel® Processors and Intel® HD graphics, OpenCL* headers and libraries, code samples, product documentation, and development tools. This article focuses on the samples available with Intel® SDK for OpenCL* Applications 2012.

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Overview of current OpenCL 2.0 hardware support, samples, blogs and drivers - Blog - StreamComputing

Overview of current OpenCL 2.0 hardware support, samples, blogs and drivers - Blog - StreamComputing | EEDSP | Scoop.it

It already started, but we were too busy lately to tell you about it. OpenCL 2.0 makes use of the more recent hardware and is therefore more powerful than 1.x.

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Khronos Announces OpenCL SPIR 2.0

Khronos Announces OpenCL SPIR 2.0 | EEDSP | Scoop.it

Khronos released OpenCL SPIR 1.2 as a provisional specification, keeping it there over a protracted period to solicit feedback over the first version of the standard. Since that provisional release, Khronos finalized OpenCL 1.2 SPIR in early 2014 and has been working on building up their developer and user bases for SPIR.

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OpenCL*: the advantages of heterogeneous approach | Intel® Developer Zone

OpenCL*: the advantages of heterogeneous approach | Intel® Developer Zone | EEDSP | Scoop.it

Along with the rise of General Purpose computing on Graphics Processing Units (GPGPU), GPUs themselves are evolving rapidly from fixed-function rasterization engines to more general processors. Today, discrete GPUs are typically connected to the CPU via the PCI Express* (PCIe) bus, which significantly limits the data transfer rate between the devices. Explicit boundaries for different memory spaces/hierarchies and high latency synchronization between devices result in quite a coarse-grained level of abstraction. Most OpenCL workloads today target the GPU only, leaving the CPU to do mainly scheduling, file and network I/O, and other “host” types of orchestration. In this approach the costs of PCIe transfers might be prohibitive if tasks are small and not amortized well by execution speed of a GPU.

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Computing Language Utility (CLU): An Open Source API for Rapid OpenCL* Development | Intel® Developer Zone

Computing Language Utility (CLU): An Open Source API for Rapid OpenCL* Development | Intel® Developer Zone | EEDSP | Scoop.it

The Computing Language Utility is an Open Source, lightweight API designed to help programmers explore, learn, and rapidly prototype programs with OpenCL*. This API reduces the complexity associated with initializing OpenCL* devices, contexts, kernels and parameters, etc. while preserving the ability to drop down to the lower level OpenCL* API when programmers wants to get their hands dirty. The CLU release includes an open source implementation along with documentation and samples that demonstrate how to use CLU in real applications.

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Permutations with CUDA and OpenCL - CodeProject®

Finding lexicographical permutations using GPU; Author: Wong Shao Voon; Updated: 8 May 2012; Section: GPU Programming; Chapter: Platforms, Frameworks & Libraries; Updated: 8 May 2012...
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