Announcement: pyMIC v0.7 ========================= I'm happy to announce the release of pyMIC v0.7. 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 0.7 ---------------------------- * Experimental support for Python 3. * 'None' arguments of kernels are converted to nullptr or NULL. * Switched to Python's distutils to build and install pyMIC. * Deprecated the build system based on Makefiles. 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. 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, Christian Lamprechter Chairperson of the Supervisory Board: Nicole Lau Registered Office: Munich Commercial Register: Amtsgericht Muenchen HRB 186928