Nvidia CUDA Developer Notebook Driver 257.21 for Vista/Win7 64-bit driver
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Nvidia CUDA Developer Notebook Driver 257.21 for Vista/Win7
OS: Windows Vista / Windows Vista X64 / Windows 7 / Windows 7 x64
downloads: 135
size: 110.00 MB
updated: August 12, 2010
manufacturer: Nvidia
tags: CUDA Developer Notebook Driver, CUDA Notebook Driver, Nvidia CUDA Driver, Nvidia, notebook, CUDA
Fixes:
- GPUDirect(tm) gives 3rd party devices direct access to CUDA Memory
- Support for 16-way concurrency allows up to 16 different kernels to run at the same time on Fermi architecture GPUs
- Runtime / Driver interoperability enables applications to mix-n-match use of the CUDA Driver API with CUDA C Runtim and math libraries via buffer sharing and context migration
New language features added to CUDA C / C++ include:
& & & & & & & - Support for printf() in device code
& & & & & & & - Support for function pointers and recursion make it easier to port many existing algorithms to Fermi GPUs
- Unified Visual Profiler now supports both CUDA C/C++ and OpenCL, and now includes support for CUDA Driver API tracing
Math Libraries Performance Improvements, including:
& & & & & & & - Improved performance of selected transcendental functions from the log, pow, erf, and gamma families
& & & & & & & - Significant improvements in double-precision FFT performance on Fermi-architecture GPUs for 2^n transform sizes
& & & & & & & - Streaming API now supported in CUBLAS for overlapping copy and compute operations
& & & & & & & - CUFFT Real-to-complex (R2C) and complex-to-real (C2R) optimizations for 2^n data sizes
& & & & & & & - Improved performance for GEMV and SYMV subroutines in CUBLAS
& & & & & & & - Optimized double-precision implementations of divide and reciprocal routines for the Fermi architecture
New and updated SDK code samples demonstrating how to use:
& & & & & & & - Function pointers in CUDA C/C++ kernels
& & & & & & & - OpenCL / Direct3D buffer sharing
& & & & & & & - Hidden Markov Model in OpenCL
& & & & & & & - Microsoft Excel GPGPU example showing how to run an Excel function on the GPU
- GPUDirect(tm) gives 3rd party devices direct access to CUDA Memory
- Support for 16-way concurrency allows up to 16 different kernels to run at the same time on Fermi architecture GPUs
- Runtime / Driver interoperability enables applications to mix-n-match use of the CUDA Driver API with CUDA C Runtim and math libraries via buffer sharing and context migration
New language features added to CUDA C / C++ include:
& & & & & & & - Support for printf() in device code
& & & & & & & - Support for function pointers and recursion make it easier to port many existing algorithms to Fermi GPUs
- Unified Visual Profiler now supports both CUDA C/C++ and OpenCL, and now includes support for CUDA Driver API tracing
Math Libraries Performance Improvements, including:
& & & & & & & - Improved performance of selected transcendental functions from the log, pow, erf, and gamma families
& & & & & & & - Significant improvements in double-precision FFT performance on Fermi-architecture GPUs for 2^n transform sizes
& & & & & & & - Streaming API now supported in CUBLAS for overlapping copy and compute operations
& & & & & & & - CUFFT Real-to-complex (R2C) and complex-to-real (C2R) optimizations for 2^n data sizes
& & & & & & & - Improved performance for GEMV and SYMV subroutines in CUBLAS
& & & & & & & - Optimized double-precision implementations of divide and reciprocal routines for the Fermi architecture
New and updated SDK code samples demonstrating how to use:
& & & & & & & - Function pointers in CUDA C/C++ kernels
& & & & & & & - OpenCL / Direct3D buffer sharing
& & & & & & & - Hidden Markov Model in OpenCL
& & & & & & & - Microsoft Excel GPGPU example showing how to run an Excel function on the GPU
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