A research team led by Prof. Yang Yuchao from the School of Electronic and Computer Engineering at Peking University Shenzhen ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

This article presents a novel parallel tempering processing architecture (PTPA) based on the fully connected Ising model to address these issues. The proposed modified parallel tempering algorithm ...

This assignment demonstrates the use of linear and parallel processing techniques to analyze student fee submission patterns. The goal is to identify the most common fee submission dates and compare ...

Researchers developed MassiveFold, an enhanced AlphaFold version optimized for parallel processing, which accelerates protein structure predictions from months to hours while increasing structural ...

As we’ve moved from the era of Moore’s Law and CPU dominance to the age of GPU acceleration, we’ve witnessed remarkable advancements in parallel processing and throughput. GPUs, with their ability to ...

We look at Google’s TPUs – tensor processing units – and ask what makes them different to CPUs, GPUs and DPUs, as well as how you can take advantage of them in AI processing.

Originally driven by Intel’s now-defunct Optane storage class memory, Parallelstore offers massive parallel file storage targeted at artificial intelligence training use cases on Google Cloud.