I’ve been flying multispectral missions for a few years now, and the biggest surprise of these systems is how much processing ...

Enterprise AI workloads require infrastructure designed for large-scale data processing and distributed computing.

DARPA's Smash program aims to reduce US reliance on Chinese rare earth minerals ...

Abstract: The rapid growth in model sizes and training datasets has led researchers to focus on distributed deep learning to accelerate the training process. Bulk Synchronous Parallel (BSP) and ...

Society for Industrial and Applied Mathematics is proud to present the twenty-first Conference on Parallel Processing for Scientific Computing. This series of conferences has played a key role in ...

Abstract: As the scale of both data and models surpasses the capabilities of edge devices, the utilization of parallel and distributed systems has become increasingly crucial. This paper overviews the ...

In the last decade there has been a surge in the number of big science projects interested in achieving a comprehensive understanding of the functions of the brain, using Spiking Neuronal Network (SNN ...

Deep cerebellar nuclei neurons receive both inhibitory (GABAergic) synaptic currents from Purkinje cells (within the cerebellar cortex) and excitatory (glutamatergic) synaptic currents from mossy ...