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A more recent release is available see the CUDA Toolkit and GPU Computing SDK home page

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For older releases, see theCUDA Toolkit Release Archive

Release Highlights

• Support for the new Fermi architecture, with:
  • Native 64-bit GPU support
  • Multiple Copy Engine support
  • ECC reporting
  • Concurrent Kernel Execution
  • Fermi HW debugging support in cuda-gdb
  • Fermi HW profiling support for CUDA C and OpenCL in Visual Profiler
• 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 Driver / Runtime Buffer Interoperability, which allows applications using the CUDA Driver API to also use libraries implemented using the CUDA C Runtime such as CUFFT and CUBLAS.
• CUBLAS now supports all BLAS1, 2, and 3 routines including those for single and double precision complex numbers
• Up to 100x performance improvement while debugging applications with cuda-gdb
• cuda-gdb hardware debugging support for applications that use the CUDA Driver API
• cuda-gdb support for JIT-compiled kernels
• New CUDA Memory Checker reports misalignment and out of bounds errors, available as a stand-alone utility and debugging mode within cuda-gdb
• 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 device emulation mode has been packaged in a separate version of the CUDA C Runtime (CUDART), and is deprecated in this release. Now that more sophisticated hardware debugging tools are available and more are on the way, NVIDIA will be focusing on supporting these tools instead of the legacy device emulation functionality.
  • On Windows, use the new Parallel Nsight development environment for Visual Studio, with integrated GPU debugging and profiling tools (was code-named 'Nexus'). Please seewww.nvidia.com/nsightfor details.
  • On Linux, use cuda-gdb and cuda-memcheck, and check out the solutions from Allinea and TotalView that will be available soon.
• Support for all the OpenCL features in the latest R195 production driver package:
  • Double Precision
  • Graphics Interoperability with OpenCL, Direc3D9, Direct3D10, and Direct3D11 for 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 via support for pragma unroll in OpenCL kernels and an extension that allows programmers to set compiler flags. (cl_nv_compiler_options)
  • OpenCL Images support, for better/faster image filtering
  • 32-bit global and local atomics for fast, convenient data manipulation
  • Byte Addressable Stores, for faster video/image processing and compression algorithms
  • Support for the latest OpenCL spec revision 1.0.48 and latest official Khronos OpenCL headers as of 2010-02-17

Note: The developer driver packages below provide baseline support for the widest number of NVIDIA products in the smallest number of installers. More recent production driver packages for developers and end users may be available atwww.nvidia.com/drivers. Bill 2 5 4 – invoicing made painless and fun.

For additional tools and solutions for Windows, Linux and MAC OS , such as CUDA Fortran, CULA, CUDA-dgb , please visit our Tools and Ecosystem Page

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Release Date: Feb. 13, 2009

Python 3.0.1 was released on February 13, 2009. It was a bugfixrelease of Python 3.0.

This is the first bugfix release of Python 3.0. Python 3.0 is now inbugfix-only mode; no new features are being added. Dozens of bugs that werereported since the release of 3.0 final have been fixed.

Python 3.0 (a.k.a. 'Python 3000' or 'Py3k') is a newversion of the language that is incompatible with the 2.x line ofreleases. The language is mostly the same, but many details,especially how built-in objects like dictionaries and strings work,have changed considerably, and a lot of deprecated features havefinally been removed. Also, the standard library has been reorganizedin a few prominent places. Dropshare 4 9 2 – secure file sharing tools.

Here are some Python 3.0 resources:

• Python 3.0 change log.
• Read more in PEP 3000
• To help out, sign up for python-3000@python.org
• Conversion tool for Python 2.x code:2to3

Please report bugs at http://bugs.python.org

Logoist 3

See also the license.

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This is a production release; we currently support these formats:

• Mac OS X Installer Disk Image (3.0.1)(unsigned).

MD5 checksums and sizes of the released files:

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Documentation

• Online Documentation is updatedtwice a day