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OpenCL.NET is now on GitHub
OpenCL.NET library has been recently added to GitHub with full source code, under the MIT license.
The latest version provides access to OpenCL 2.2 driver API.
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New CLFORTRAN examples and update
New examples are available on the CLFORTRAN page.
These include:
- Quering platforms and devices information
- Creating OpenCL context and command queue
- Basic device IO with Fortran arrays and validity testing
In addition, CLFORTRAN API was improved for better OpenCL functionality support in Fortran.
Announcing CLFORTRAN
We are pleased to announce CLFORTRAN for GPGPU.
CLFORTRAN is a new and elegant Fortran module that allows integration of OpenCL with Fortran programs easier than ever.
Taking advantage of Fortran language features, it is written in pure Fortran – aka no C/C++ code is required to utilize the GPGPU.
CLFORTRAN is compatible with all major compilers: GNU, Intel and IBM, and supporting OpenCL 1.2 API.
In addition, it is provided as open source and licensed under LGPL, to allow scientific computing at massive scales and all supported vendors.
You may read more at CLFORTRAN.
Intel® Released the Xeon® Phi™ Processor (MIC)
Intel® have just introduced their Xeon® Phi™ processor to the market, targeting HPC and scientific computing. It is available for purchase and integration into existing systems/platforms/servers.
The new co-processor is a discrete device that runs an operating system of its own and functions as a fully functional computer (though being a co-processor).
Why should anyone be interested in Xeon® Phi™?
It is based on the most common x86 architecture, therefore porting existing code and algorithms should be the easiest possible.
One may also utilize OpenCL™ algorithms to take advantage of the high-parallelism of the Phi™ processor.
In addition, it features 60 cores, 8GB of internal memory (with 320 GB/s) and uses PCIe x16 slot to provide high performance bandwidth throughput.
With almost 1 TFLOPS of double precision, Phi™ is competent to very high end GPUs in the market today, but on some aspects, provides better performance and industrial matching than other vendors.
You can read more at:
http://www.intel.com/content/www/us/en/processors/xeon/xeon-phi-detail.html
Contact us for more details and projects regarding Intel® Xeon® Phi™ family of processors.
NVIDIA® CARMA® Ready – CUDA® on ARM®
We are happy to announce the availability of NVIDIA® CARMA® platforms, providing an ARM based system (Tegra® 3) cooperating with an internal and a discrete GPU (NVIDIA® Quadro® 1000M utilizing 96 cores).
NVIDIA® CARMA® aims to provide an energy-effecient HPC solution, targeting low-power, small form factor environments.
Software support is provided for CUDA® 5, with FFT, BLAS, image processing, accelerated video decoding/encoding (H.264, H.265, VC-1, MPEG-2 etc.) and much more.
Both Linux, Android and Windows® 8 operating systems are supported.
Hardware platforms are available in ruggedized form factor as well for outdoor, defense or military purposes.
This opens new opportunities for embedded like GPGPU solutions, for digital signage, medical imaging and other handheld/mobile usage.
For more information: support@cass-hpc.com.
OpenCL.NET 1.1.44 Released
We are pleased to annouce the release of a new OpenCL.NET library supporting OpenCL™ 1.1 (revision 44) driver API by the Khronos group.
This release includes all API functions described by the standard and targets cross-platform HPC and GPGPU applications.
OpenCL.NET can be used to develop solutions under Windows, Linux or Mac, also integrating with Matlab to accelerate algorithms of different kinds.
All vendors are supported, including NVIDIA®, Intel® and AMD.
For more information: OpenCL.NET.
CUDA.NET test cases and stories
Users of CUDA.NET are invited to send us examples and stories from their experience using the library.
These stories will be added to our web sitefor other readers.