managedCUDA Vista download - An easy integration of Nvidia’s CUDA - Best Free Vista Downloads

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Navigation: Home \ Development \ Components & Libraries \ managedCUDA

managedCUDA

7.5 by Michael Kunz

managedCUDA aims an easy integration of Nvidia’s CUDA in .NET applications written in C#, Visual Basic or any other .NET language.

type: Open Source
categories: CUDA Integration, Integrate CUDA, CUDA Management, CUDA, Integration, .NET

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Software Info
Best Vista Download periodically updates pricing and software information of managedCUDA full version from the publisher, but some information may be out-of-date. You should confirm all information. Software piracy is theft, using crack, warez passwords, patches, serial numbers, registration codes, key generator, keymaker or keygen for managedCUDA license key is illegal and prevent future development of managedCUDA. Download links are directly from our mirrors or publisher's website, managedCUDA torrent files or shared files from rapidshare, yousendit or megaupload are not allowed!
Released:	September 12, 2015
Filesize:	7.90 MB
Platform:	Windows XP, Windows Vista, Windows Vista x64, Windows 7, Windows 7 x64, Windows 8, Windows 8 x64, Windows 10, Windows 10 x64
Install	Instal And Uninstall

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managedCUDA

- Releases History

Software:	managedCUDA 7.5
Date Released:	Sep 12, 2015
Status:	New Release
Release Notes:	CUDA 7.5 CUDABLAS CUDASPARSE CUDARAND NPP CUDASOLVE NVRTC added SetComputeSize() to CudaKernel to define grid dimensions added NPPJpegCompression to managedCuda samples

Software:	managedCUDA 4.1
Date Released:	Apr 17, 2012
Status:	New Release
Release Notes:	· fixed bugs · Added a reset() method to directly update a texture reference without disposing the old and recreating a new CudaTextureLinearPitched2D / CudaTextureLinear1D object. · dim3 has new constructors taking int arguments and not just uint · All Debug outputs changed to String.Format for .net pre 4.0 compatibility · Removed "using System.Linq" for .net pre 4.0 compatibility · Added indexer properties to CudaDeviceVariable and CudaPitchedDeviceVariable: Access elements directly from host · Implicit conversion operators for CudaDeviceVariable (and some for CudaPitchedDeviceVariable): Alloc and copy in only one assignment operation. · Memset now also for CudaDeviceVariable and CudaPitchedDeviceVariable and not only inderectly using CudaContext. · Offsets for copy methods in device variables / pinned host variables · Added CudaRand · Added CudaBlas · Added NPP · New Samples