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Home > System Utilities > System Maintenance > CUDA Toolkit
CUDA Toolkit
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CUDA Toolkit Publisher Description

CUBLAS performance improved 50% to 300% on Fermi architecture GPUs, for matrix multiplication of all datatypes and transpose variations. CUFFT performance tuned for radix-3, -5, and -7 transform sizes on Fermi architecture GPUs, now 2x to 10x faster than MKL. New CUSPARSE library of GPU-accelerated sparse matrix routines for sparse/sparse and dense/sparse operations delivers 5x to 30x faster performance than MKL ...

Read more about CUDA Toolkit ...

CUDA Toolkit 3.2

New CURAND library of GPU-accelerated random number generation (RNG) routines.

Version:3.2 Date Added:Dec 14, 2010
File Size:263.50MB Downloads: 34
License:Freeware
System:Windows XP/7 x32/7 x64/Vista/Vista x64, Mac O...
Limitations:
Publisher:nvidia. , More products
Requirements:

File size: 263.50MB


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...... routines, supporting Sobol quasi-random and XORWOW pseudo-random routines at 10x to 20x faster than similar routines in MKL
* H.264 encode/decode libraries now included in the CUDA Toolkit

CUDA Driver & CUDA C Runtime
* Support for new 6GB Quadro and Tesla products
* New support for enabling high performance Tesla Compute Cluster (TCC) mode on Tesla GPUs in Windows desktop workstations

Development Tools
* Multi-GPU debugging support for both cuda-gdb and Parallel Nsight
* Expanded cuda-memcheck support for all Fermi architecture GPUs
* NVCC support for Intel C Compiler (ICC) v11.1 on 64-bit Linux distros
* Support for debugging GPUs with more than 4GB device memory

Miscellaneous
* Support for memory management using malloc() and free() in CUDA C compute kernels
* New NVIDIA System Management Interface (nvidia-smi) support for reporting % GPU busy, and several GPU performance counters

New GPU Computing SDK ......

CUDA Toolkit Related Software


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Qweas is providing links to CUDA Toolkit 3.2 as a courtesy, and makes no representations regarding CUDA Toolkit or any other applications or any information related thereto.

Any questions, complaints or claims regarding this application CUDA Toolkit 3.2 must be directed to the appropriate software vendor.

You may click the publisher link of CUDA Toolkit on the top of this page to get more details about the vendor.











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