Announcement: pyMIC v0.6 ========================= I'm happy to announce the release of pyMIC v0.6. pyMIC is a Python module to offload computation in a Python program to the Intel Xeon Phi coprocessor. It contains offloadable arrays and device management functions. It supports invocation of native kernels (C/C++, Fortran) and blends in with Numpy's array types for float, complex, and int data types. For more information and downloads please visit pyMIC's Github page: https://github.com/01org/pyMIC. You can find pyMIC's mailinglist at https://lists.01.org/mailman/listinfo/pymic. Full change log: ================= Version 0.6 ---------------------------- - Experimental support for the Windows operating system. - Switched to Cython to generate the glue code for pyMIC. - Now using Markdown for README and CHANGELOG. - Introduced PYMIC_DEBUG=3 to trace argument passing for kernels. - Bugfix: added back the translate_device_pointer() function. - Bugfix: example SVD now respects order of the passed matrices when applying the `dgemm` routine. - Bugfix: fixed memory leak when invoking kernels. - Bugfix: fixed broken translation of fake pointers. - Refactoring: simplified bridge between pyMIC and LIBXSTREAM. Version 0.5 ---------------------------- - Introduced new kernel API that avoids insane pointer unpacking. - pyMIC now uses libxstreams as the offload back-end (https://github.com/hfp/libxstream). - Added smart pointers to make handling of fake pointers easier. Version 0.4 ---------------------------- - New low-level API to allocate, deallocate, and transfer data (see OffloadStream). - Support for in-place binary operators. - New internal design to handle offloads. Version 0.3 ---------------------------- - Improved handling of libraries and kernel invocation. - Trace collection (PYMIC_TRACE=1, PYMIC_TRACE_STACKS={none,compact,full}). - Replaced the device-centric API with a stream API. - Refactoring to better match PEP8 recommendations. - Added support for int(int64) and complex(complex128) data types. - Reworked the benchmarks and examples to fit the new API. - Bugfix: fixed syntax errors in OffloadArray. Version 0.2 ---------------------------- - Small improvements to the README files. - New example: Singular Value Decomposition. - Some documentation for the API functions. - Added a basic testsuite for unit testing (WIP). - Bugfix: benchmarks now use the latest interface. - Bugfix: numpy.ndarray does not offer an attribute 'order'. - Bugfix: number_of_devices was not visible after import. - Bugfix: member offload_array.device is now initialized. - Bugfix: use exception for errors w/ invoke_kernel & load_library. Version 0.1 ---------------------------- Initial release. Dr.-Ing. Michael Klemm Senior Application Engineer Software and Services Group Developer Relations Division Phone +49 89 9914 2340 Cell +49 174 2417583 Intel Deutschland GmbH Registered Address: Am Campeon 10-12, 85579 Neubiberg, Germany Tel: +49 89 99 8853-0, www.intel.de Managing Directors: Christin Eisenschmid, Prof. Dr. Hermann Eul Chairperson of the Supervisory Board: Tiffany Doon Silva Registered Office: Munich Commercial Register: Amtsgericht Muenchen HRB 186928