The rise in deep learning forms of AI, and the abundance of real-world data behind it, is pressing the need for a new kind of computer to replace the typical Von Neumann machines expressed in ...
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Researchers at Google and Intel recently collaborated to extract the maximum performance from Intel® Xeon and Intel® Xeon Phi processors running TensorFlow*, a leading deep learning and machine ...
Among the innovations that power the popular open source TensorFlow machine learning platform are automatic differentiation (Autograd) and the XLA (Accelerated Linear Algebra) optimizing compiler for ...
Quantum computers promise to speed calculations dramatically in some key areas such as computational chemistry and high-speed networking. But they're so different from today's computers that ...
May 15, 2025 — The Argonne Leadership Computing Facility will host an overview of key AI frameworks, toolkits, and strategies to achieve high-performance training and inference on the Aurora exascale ...
A novel parallel computing framework for chemical process simulation has been proposed by researchers from the East China University of Science and Technology and the University of Sheffield. This ...
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