CUDA 2.3

CUDA 2.3 offers you a common purpose parallel computing architecture which is capable of leveraging 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.

Major Features:

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

• New GPU Computing SDK sample that illustrates how to use cuModuleLoadDataEx
• Loads a PTX source file from memory instead of file.