An introduction to the Northern Ireland High-performance Computing (NI-HPC) cluster and practical skills that can immediately ...

This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

Bolt Graphics wants to take on Nvidia and AMD by building a RISC-V graphics processor ...

Abstract: We present three Python software projects: PyTrilinos, for calling Trilinos distributed memory HPC solvers from Python; Optimized Distributed NumPy (ODIN), for distributed array computing; ...

The cluster architectures for AI training and inference are driving unprecedented growth in the datacenter infrastructure spending, but they are also having a reflective and beneficial impact on HPC ...

TeraWulf’s latest $9.5 billion, 25-year HPC deal with Fluidstack anchors predictable, multi-year revenue streams, and the joint venture structure spreads capital costs and limits WULF’s upfront ...

From genomics to AI, CPUs continue to lead high-performance computing by offering unmatched flexibility, reliability, and scale, says Microsoft Azure’s Evan Burness and Intersect360 Research’s Addison ...

TeraWulf's pivot to HPC hosting is proving successful, securing a $3.7B contract with Fluidstack, backed by Google, and building a strong backlog. TeraWulf's asset-light strategy focuses on ...

The University Research Computing Facility (URCF) is pleased to announce our Summer 2025 workshop series. The URCF provides support for computational research at Drexel. These workshops are open to ...

Introduction Python is well suited for machine learning and deep learning. For instance, it is fairly easy to code in, and this is particularly useful in ML/DL where the right solution is rarely known ...

From the first session of [the NAISS 'Intro to Python' course](https://uppmax.github.io/uppmax_intro_python/sessions/using_the_python_interpreter/): - Practice using ...