The landscape of high-performance computing (HPC) storage is undergoing significant change. Traditional simulation and data engineering workloads are increasingly running alongside generative AI, ...

ρ = λ / (c·μ) # per-server utilisation (must be < 1) Wq = C(c, a) / [c·μ·(1−ρ)·λ] # mean waiting time (Erlang-C) W = Wq + 1/μ # mean sojourn time Lq = λ·Wq L = λ·W # mean queue/system length (Little's ...

Parallel Works, a provider of the ACTIVATE control plane for hybrid multi-cloud computing, today announced that the Department of Defense (DOD) High Performance Computing Modernization Program (HPCMP) ...

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 a deep understanding ...

The explosive growth of data generated by artificial intelligence, cloud computing and modern digital infrastructure is ...

Abstract: Accurate modeling of electromagnetic wave scattering from large-scale ground profiles is essential in remote sensing applications. However, the computational burden associated with the ...

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Abstract: In this paper, we study the control problems of distributed parameter systems, and discuss the limitations of traditional control methods. In recent years, social factors have gradually ...

Scientific Computing World is proud to present the SCW75: an annual programme honouring the individuals whose strategic decisions about research computing infrastructure change what science can ...

Fraunhofer ILT in Aachen has developed a highly complex laser-optical system for a quantum computer currently under construction at the 5th Institute of Physics at the University of Stuttgart. This ...

AMD’s real AI threat to Nvidia may not be GPUs ...