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Achieving Parallelism in Intel Distribution for Python with Numba

The rapid growth in popularity of Python as a programming language for mathematics, science, and engineering applications has been amazing. Not only is it easy to learn, but there is a vast treasure of packaged open source libraries out there targeted at just about every computational domain imaginable. This sponsored post from Intel highlights how today’s enterprises can achieve high levels of parallelism in large scale Python applications using the Intel Distribution for Python with Numba. 

Call for Papers: International Conference on Parallel Processing in Bristol

The International Conference on Parallel Processing (ICPP 2017) has issued its Call for Papers. The event takes place August 14-17 in Bristol, UK. “Parallel and distributed computing is a central topic in science, engineering and society. ICPP, the International Conference on Parallel Processing, provides a forum for engineers and scientists in academia, industry and government to present their latest research findings in all aspects of parallel and distributed computing.”