1 Jul 2009
by mylos
3D tehnologija za sajt
1 Jul 2009
by admin
Release 1.1 of the CUDA Data-Parallel Primitives Library (CUDPP) is now available for download.  The two major new features in CUDPP 1.1 are a very fast new radix sort implementation with support for sorting key-value pairs (with float or unsigned integer keys); and a new pseudorandom number generator, cudppRand. CUDPP 1.1 also replaces its former custom [...]
30 Jun 2009
by admin
A ScientificComputing.com article by Rob Farber explores the topic of numerical precision in the context of future exascale computing, asking the question “how do we know that anything we compute is correct?” Â The discussion centers around processors such as GPUs which provide both single- and double-precision computation but at different throughput levels. “Taking a multi-preci... continues
26 Jun 2009
by dom
Abstract: This paper reports on CuPP, our newly developed C++ framework designed to ease integration of NVIDIA’s GPGPU system, CUDA, into existing C++ applications. CuPP provides interfaces to reoccurring tasks that are easier to use than the standard CUDA interfaces. In this paper we concentrate on memory management and related data structures. CuPP offers both a [...]
25 Jun 2009
by davidmurphy
25 Jun 2009
by admin
A tutorial on High Performance Computing with CUDA was held at the International Conference on Supercomputing in Hamburg on Monday, June 22nd 2009. Â The tutorial included an introduction to the CUDA programming model and C for CUDA, along with details on the CUDA Toolkit, Libraries, and optimization. Â The tutorial also provided an introduction to OpenCL, [...]
24 Jun 2009
by mark
This NVIDIA technical report by Sengupta, Harris, and Garland describes the design of new parallel algorithms for scan and segmented scan on GPUs.  This paper describes the primitives included in the latest release of the CUDPP library. Abstract: Scan and segmented scan algorithms are crucial building blocks for a great many data-parallel algorithms. Segmented scan and [...]
24 Jun 2009
by mark
GPU Systems has announced the Libra SDK, a robustly equipped C/C++ developer kit for fast and easy cross CPU-GPU access suited for scientific computations. The Libra 1.1 SDK includes a C/C++ Matlab-style API, sample programs and documentation. A downloadable trial version of Libra is available from the GPU Systems website, and a Libra demo presentation [...]