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From NVIDIA's newsletter: The first CUDA 4.1 release candidate (RC1) is now available to GPU Computing Registered Developers. This is a great opportunity to try the new compiler, enhanced libraries, and improved development tools we’ve added to the CUDA Toolkit for this release. We’re looking forward to hearing your experiences (good and bad) so we can make CUDA 4.1 the best release yet! Please login to download your copy of CUDA Toolkit 4.1 and updated SDK code samples. If you encounter any problems, please use the Bug Report link in your registered developer account. https://nvde ...

CUDA 4.0 RC1只有注册人员才能下载，今天NVIDIA放出了CUDA 4.0 RC2，任何人都可以下载了。 更多关于CUDA 4.0的新功能，请看我上个月的帖子：CUDA 4.0真技术解析。

上周的帖子刚提到NVIDIA宣布了CUDA 4，昨天就收到NV的邮件说CUDA 4.0 RC可以下载了。developer注册用户可以从http://developer.nvidia.com/object/cuda_4_0_RC_downloads.html找到。 本来不打算说什么，碰巧在某网站看到了一篇所谓的“新特性解析”，典型的一个不懂技术的小编装懂地写软文。所以我不得不在这里拨乱反正，以免国内读者受其误导。 CUDA 4.0的更新主要集中在三方面 简化并行程序的移植 加速多GPU编程 更好的工具链支持 简化并行程序移植 在CUDA（其实还有AMD的stream）出来之前，并行程序移植GPU只能直接用shader，限制诸多，代码不灵活，基本算重写，而不是移植。有了CUDA之后，情况有所好转。在CUDA 4.0下， ...

Today NVIDIA announced the upcoming 4.0 release of CUDA.  While most of the major CUDA releases accompanied a new GPU architecture, 4.0 is a software-only release, but that doesn’t mean there aren’t a lot of new features.  With this release, NVIDIA is aiming to lower the barrier to entry to parallel programming on GPUs, with new features including easier multi-GPU programming, a unified virtual memory address space, the powerful Thrust C++ template library, and automatic performance analysis in the Visual Profiler tool.  Full details follow in the quoted press release below. SANTA CLARA, ...