Nvidia CUDA Developer Driver 257.21

version for XP | windows

Name: Nvidia CUDA Developer Driver 257.21
Version: for XP
Size: 86.8 MB
Category: Video & Graphic Cards
License: Free
Released: 2013-12-11
Developer: Nvidia
Downloads: 736
Rate this software:
Nvidia CUDA Developer Driver 257.21, download Nvidia CUDA Developer Driver 257.21 for windows, Nvidia CUDA Developer Driver 257.21 free download
free download windows Nvidia CUDA Developer Driver 257.21, Nvidia CUDA Developer Driver 257.21 windows download, exe file Nvidia CUDA Developer Driver 257.21 windows
Nvidia CUDA Developer Driver 257.21 for XP free download, Nvidia CUDA Developer Driver 257.21 latest version download, download Nvidia CUDA Developer Driver 257.21 for XP free
download Nvidia CUDA Developer Driver 257.21
exe | 86.8 MB
Nvidia CUDA Developer Driver 257.21 Nvidia, download Nvidia CUDA Developer Driver 257.21 by Nvidia, free download Nvidia CUDA Developer Driver 257.21 for XP
download Nvidia CUDA Developer Driver 257.21 latest version by Nvidia,Nvidia CUDA Developer Driver 257.21 Free version
Nvidia CUDA Developer Driver 257.21 setup, download Nvidia CUDA Developer Driver 257.21 offline installer, download Nvidia CUDA Developer Driver 257.21 for free
Description
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


It is highly recommended to always use the most recent driver version available.

Do not forget to check with our site as often as possible in order to stay updated on the latest drivers, software and games.

Try to set a system restore point before installing a device driver. This will help if you installed a wrong driver. Problems can arise when your hardware device is too old or not supported any longer.
Screenshots