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.
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.
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: email@example.com.
We are glad to introduce a new library for video decoding, Vicodeo™, featuring accelerated performance for faster than real-time decoding of H.264, MPEG-2 (and more) video streams – in managed environments (.NET / Java).
Video processing nowadays has become a computing intensive task. Being able to accelerate decoding and various processing tasks, opens the door for many types of applications and usage of video in life, from: high-quality films, security/surveillance cameras, live events, video conversations over the web and much more.
Our library provides many capabilities beyond real-time (+) decoding of 1080p (Full HD) streams:
Codec support: H.264, MPEG-2, VC-1 and more
Color space conversion from YUV 4:2:0 to RGB (accelerated)
Integrated parser for elementary/transport streams and video packets
Simple integration with DirectX or OpenGL
Faster than real-time decoding for 1080p even on low-end platforms
Optional immediate decoding of frames, without buffering