The PicoCray project connects multiple Raspberry Pi Pico microcontroller modules into a parallel architecture leveraging an I2C bus to communicate between nodes.

Parallel processing is an idea that will be familiar to most readers. Few of you will not be reading this on a device with only one processor core, and quite a few of you will have experimented ...

More information: Minrui Lian et al, Towards mixed physical node reservoir computing: light-emitting synaptic reservoir system with dual photoelectric output, Light: Science & Applications (2024 ...

There are two types of HPC resources in general, those used for multi-node parallel calculations and those best suited for GPU/CPU serial, shared-memory applications within one or, at most, a few ...

All Bora nodes, which are intended for multi-node parallel jobs, are configured to run at most one job, and users should take all 20 physical cores per node for all jobs. The only exception would be ...

It is integrated and embedded with a general purpose processor and a 64-bit parallel computing unit and is capable of 8 teraflops for parallel processing of double-precision floating-point (FP64) ...

This achievement comes from the “Supercomputer Computing Node Development based on Massively parallel Processor” project funded by the Ministry of Science and ICT and the National Research ...

Parallel computing speeds up data crunching. Projects that took hours now take seconds. It's the fundamental concept that, along with advanced semiconductors, has ushered in the AI boom.