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Intel Parallel Studio XE was a software development product developed by Intel that facilitated native code development on Windows, macOS and Linux in C++ and Fortran for parallel computing. [2] Parallel programming enables software programs to take advantage of multi-core processors from Intel and other processor vendors.
oneAPI is an open standard, adopted by Intel, [1] for a unified application programming interface (API) intended to be used across different computing accelerator (coprocessor) architectures, including GPUs, AI accelerators and field-programmable gate arrays. It is intended to eliminate the need for developers to maintain separate code bases ...
Dask is an open-source Python library for parallel computing.Dask [1] scales Python code from multi-core local machines to large distributed clusters in the cloud. Dask provides a familiar user interface by mirroring the APIs of other libraries in the PyData ecosystem including: Pandas, scikit-learn and NumPy.
The different rendering styles are based on "style modules" that are written in Python programming language. [ 1 ] The stand-alone program, which uses OpenGL and the Qt widget toolkit , can render images based on .3ds files.
Just-in-Time Verilog simulator and compiler for FPGAs allowing to instantly run both synthesizable and unsynthesizable Verilog on hardware CVC Perl style artistic license [3] Tachyon Design Automation V2001, V2005 CVC is a Verilog HDL compiled simulator. CVC has the ability to simulate in either interpreted or compiled mode. GPL Cver: GPL
It is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language.Spyder integrates with a number of prominent packages in the scientific Python stack, including NumPy, SciPy, Matplotlib, pandas, IPython, SymPy and Cython, as well as other open-source software.
[2] [3] MicroPython consists of a Python compiler to bytecode and a runtime interpreter of that bytecode. The user is presented with an interactive prompt (the REPL) to execute supported commands immediately. Included are a selection of core Python libraries; MicroPython includes modules which give the programmer access to low-level hardware. [4]
MKL and other programs generated by the Intel C++ Compiler and the Intel DPC++ Compiler improve performance with a technique called function multi-versioning: a function is compiled or written for many of the x86 instruction set extensions, and at run-time a "master function" uses the CPUID instruction to select a version most appropriate for ...