One of the big surprises of the past few years has been the spectacular rise in the use of Python* in high-performance computing applications. With the latest releases of Intel® Distribution for ...

This sponsored post covers how Intel Performance Libraries are working to ramp up python performance. Surprise! Python* is now the most popular programming language, according to IEEE Spectrum’s fifth ...

Intel Distribution for Python adds Intel's high-speed math libraries to the existing, highly convenient Anaconda version for data scientists The conventional wisdom about Python is that it makes your ...

AUSTIN, TEXAS--(BUSINESS WIRE)--Continuum Analytics, the creator and driving force behind Anaconda, the leading Open Data Science platform powered by Python, is pleased to announce a technical ...

Thank you for completing the survey! Message Passing Interface (MPI) is a standardized message-passing library interface designed for distributed memory programming. MPI is widely used in the High ...

Data scientists and deep and machine learning researchers rely on frameworks and libraries such as Torch, Caffe, TensorFlow, and Theano. Studies by Colfax Research and Kyoto University have found that ...

The AI and ML deployments are well underway, but for CXOs the biggest issue will be managing these initiatives, and figuring out where the data science team fits in and what algorithms to buy versus ...

The Beta for Intel® Distribution for Python* 2017 has been available for 1 month and I wanted to share some of our experiences. Our goal is to let you program in Python without having to compromise on ...

The MKL libraries for accelerating math operations debuted in Intel's own Python distribution, but now other Pythons are following suit Last year Intel became a Python distributor, offering its own ...