Nvidia CUDA Toolkit 3.0 Beta (Tools & Utilities)

* * * * * If you need only new drivers, go to - http://thepiratebay.se/torrent/5155383 * * * * The CUDA Toolkit 3.0 Beta is now available to GPU Computing registered developers. Highlights for this release include: * CUDA Driver / Runtime Buffer Interoperability, which allows applications using the CUDA Driver API to also use libraries implemented using the CUDA C Runtime. * A new, separate version of the CUDA C Runtime (CUDART) for debugging in emulation-mode. * C++ Class Inheritance and Template Inheritance support for increased programmer productivity * A new unified interoperability API for Direct3D and OpenGL, with support for: * OpenGL texture interop * Direct3D 11 interop support * cuda-gdb hardware debugging support for applications that use the CUDA Driver API * New CUDA Memory Checker reports misalignment and out of bounds errors, available as a debugging mode within cuda-gdb and also as a stand-alone utility. * CUDA Toolkit libraries are now versioned, enabling applications to require a specific version, support multiple versions explicitly, etc. * CUDA C/C++ kernels are now compiled to standard ELF format * Support for all the OpenCL features in the latest R195.39 beta driver: * Double Precision * OpenGL Interoperability, for interactive high performance visualization * Query for Compute Capability, so you can target optimizations for GPU architectures (cl_nv_device_attribute_query) * Ability to control compiler optimization settings, etc. via support for NVIDIA Compiler Flags (cl_nv_compiler_options) * OpenCL Images support, for better/faster image filtering * 32-bit Atomics for fast, convenient data manipulation * Byte Addressable Stores, for faster video/image processing and compression algorithms * Support for the latest OpenCL spec revision 48 and latest official Khronos OpenCL headers as of 11/1/2009 * Early support for the Fermi architecture, including: * Native 64-bit GPU support * Multiple Copy Engine support * ECC reporting * Concurrent Kernel Execution * Fermi HW debugging support in cuda-gdb For more information on general purpose computing features of the Fermi architecture, see: www.nvidia.com/fermi. Windows developers should be sure to sign up for the Nexus (code name) beta program, and test drive the integrated support for GPU hardware debugging, profiling, and platform trace/analysis features at: www.nvidia.com/nexus. Please review the errata document for important notes about using this beta release. *** Все компоненты для 64 и 32 бит. *** Поддерживаемые операционные системы: * Red Hat Liunx Enterprise 4.8/5.3, * Fedora Linux 10 * Ubuntu Linux 9.04, * Windows XP, * Windows Vista, * Windows 7 * MacOS X 10.5/10.6 Содержание диска: * CUDA TOOLKIT * OpenCL Profiler * CUDA MEMORY CHECKER (только для Linux) * GPU Computing SDK Новые драйвера, для с поддержной CUDA, OpenCL и новой архитектуры Fermi. * WindowsXP 32/64 ver. 195.39 * WindowsXP 32/64 ver. 195.39 (for mobile GPUs) * Windows Vista/7 32/64 ver. 195.39 * Windows Vista/7 32/64 ver. 195.39 (for mobile GPUs) * Linux 32bit ver. 195.17 * Linux 64bit ver. 195.17 * MacOS X ver. 3.0.0/3.0.1 Документация * CUDA Toolkit Release Notes for Windows, Linux, MacOS. * CUDA Getting Started 3.0-beta1 for Windows, Linux, MacOS. Доп. информация: http://ru.wikipedia.org/wiki/CUDA http://ru.wikipedia.org/wiki/OpenCL http://ru.wikipedia.org/wiki/NVidia_GT300#NVIDIA_Fermi

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jowjowjow (2010-05-13)

looking for an CUDA password cracker (to crack rar's or like unix pw cracker "Jack The Ripper"). At NVIDIA site can't find it. Does anyone know where to get one? Not interested in standard pw crackers without Cuda.
if you have info, message me pls