New examples are available on the CLFORTRAN page.
- 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.
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® 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:
Contact us for more details and projects regarding Intel® Xeon® Phi™ family of processors.
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.
The 2nd annual cloud computing summit is about to take place in Shfayim, Israel, between December 2-3, 2009.
Following last year success, the event will cover recent developments and progress in cloud technologies. Presenting with top-of-the-line companies active in this field, including (partial list): Amazon, Google, eBay, IBM, HP, Sun, RedHat and more.
Additional “hands-on” labs and workshops are offered during the event for participants that would like to learn more about cloud technologies and integration possibilities.
We are also presenting Hoopoe at the summit, for GPU Cloud Computing, and providing a workshop on GPU Computing in general and Hoopoe as well.
This event ends 2009 and symbolically the last decade, marking cloud computing as a major development that we are about to see more and more in the next years.
You are invited to join us during the event.
We are happy to introduce to you “Hoopoe”, a cloud solution for GPU computing.
You may have all expected it to be available sometime, and indeed it is.
Hoopoe provides a web service interface to communicate with. In the near future it will also provide machine level access to run specific applications like with regular CPU based clouds.
Partial feature list of the system:
- CUDA Support
- Executing CUDA kernels, FFT and BLAS routines
- OpenCL Support
- Executing OpenCL kernels
- Fully secure – Check out
Take a further look at: Hoopoe™. The system will be open for alpha testing very soon so you are invited to register.