Parallel computing is the fundamental concept that, along with advanced semiconductors, has ushered in the generative-AI boom ...

This project shows both the strengths and limitations of parallel computation. It makes use of multiple math units on a highly parallelizable workload, but as more math units are added there are ...

VoteEnsemble: Ensemble methods for machine/deep learning and stochastic programming with guaranteed generalization.

Tier 0 enables the storage capacity in GPU servers to be incorporated into the Hammerspace Global Data Platform in minutes, ...

This is a game-changing concept for parallel computing, enabling more efficient and faster calculations for large-scale ...

ChatGPT and other large language models (LLMs) are increasingly helping coders and software engineers streamline their ...

Abstract: Emerging high-performance computing (HPC) applications with diverse workload characteristics impose greater demands on parallel file systems (PFSs). PFSs also require more efficient software ...

When combined with Qiskit software tools, the 156-qubit R2 Heron quantum processor can perform 5,000 two-qubit gate ...

A research team led by the University of Maryland has been nominated for the Association for Computing Machinery’s Gordon ...

C++ class for signal processing, async network programming, concurrency, parallel computing and multithreading ...

From smart phones, to multi-core CPUs and GPUs, to the world's largest supercomputers, parallel processing is ubiquitous in modern computing. The goal of this course is to provide ... this course will ...