SPARKLE Geforce GTS250 Series SXS2501024D3L-NM Video Card Review

Videocards/VGA Reviews by stefan @ 2010-04-11

Sparkle has a lot of interesting innovations in their latest video cards, for example the Calibre X240/X240G graphics cards with dual-layer fan blades cooling system, which spins in both directions, to avoid dust accumulation. In this review I will look upon another card, which seems to be one of the most powerful ones on the market, in low profile format. Its name is GTS250 Low Profile Series, with 1GB GDDR3 on-board and to see its performance I will run various synthetic and game benchmarks.

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Nvidia CUDA

Nvidia CUDA :

NVIDIA® CUDA™ is a general purpose parallel computing architecture that leverages the parallel compute engine in NVIDIA graphics processing units (GPUs) to solve many complex computational problems in a fraction of the time required on a CPU. It includes the CUDA Instruction Set Architecture (ISA) and the parallel compute engine in the GPU. To program to the CUDATM architecture, developers can, today, use C, one of the most widely used high-level programming languages, which can then be run at great performance on a CUDATM enabled processor. Other languages will be supported in the future, including FORTRAN and C++.

With over 100 million CUDA-enabled GPUs sold to date, thousands of software developers are already using the free CUDA software development tools to solve problems in a variety of professional and home applications – from video and audio processing and physics simulations, to oil and gas exploration, product design, medical imaging, and scientific research.

Technology features :

* Standard C language for parallel application development on the GPU
* Standard numerical libraries for FFT (Fast Fourier Transform) and BLAS (Basic Linear Algebra Subroutines)
* Dedicated CUDA driver for computing with fast data transfer path between GPU and CPU
* CUDA driver interoperates with OpenGL and DirectX graphics drivers
* Support for Linux 32/64-bit and Windows XP 32/64-bit operating systems

CUDA Realtime Particles demo :

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