Containerization as a concept of isolating application processes while sharing the same operating system (OS) kernel has been around since the beginning of this century. It started its journey from as ...
When it comes to traditional HPC, it has taken a bit longer for cloud and AI to catch on. This is no surprise given the strict performance requirements and often decades-old codes at the heart of ...
Why is HPC (high performance computing) speeding up machine learning and deep learning research? Experiments determined the right architecture for speech recognition. A lot of AI progress is driven by ...
High Performance Computing (HPC) has historically depended on numerical analysis to solve physics equations, simulating the behavior of systems from the subatomic to galactic scale. Recently, however, ...
CARLSBAD, Calif.--(BUSINESS WIRE)--MaxLinear, Inc. (Nasdaq: MXL) MaxLinear, a leader in high-performance semiconductors, and Quanta Cloud Technology (QCT), a global infrastructure provider for data ...
In this video from SC18, Derek Bouius from AMD describes how the company’s new EPYC processors and Radeon GPUs can speed HPC and Ai applications. It’s been a fantastic year in the supercomputing space ...
This tutorial is an adaptation of the NumPy Tutorial from Tensorflow.org. To run this tutorial, it is assumed that you already have access to the WAVE HPC with a user account and the ability to open a ...
Abstract: Today’s HPC systems face challenges in delivering predictable performance, while maintaining efficiency, resilience, and security. Much of computer system management has traditionally relied ...
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