From massive formations to four Marines in a dunebuggy, the Marine Corps is working with the joint force to craft a single ...

The parallel efficient global optimization (EGO) algorithm was developed to leverage the rapid advancements in high-performance computing. However, conventional parallel EGO algorithm based on ...

With the introduction of adaptive deep brain stimulation (aDBS) for Parkinson's disease, new questions emerge regarding who, why, and how to treat. This paper outlines the pathophysiological rationale ...

Umbrella or sun cap? Buy or sell stocks? When it comes to questions like these, many people today rely on AI-supported recommendations. Chatbots such as ChatGPT, AI-driven weather forecasts, and ...

ParAMD is a shared memory parallel implementation of the approximate minimum degree (AMD) algorithm with multiple elimination via distance-2 independent sets. For more information, please read our ...

SHANGHAI, SHANGHAI, CHINA, January 20, 2026 /EINPresswire.com/ -- The global healthcare sector is witnessing a paradigm ...

Explore technical features and comparative strengths of MaxQuant, Proteome Discoverer, FragPipe, and DIA-NN workflows.

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

Abstract: Multi-Robot Path Planning (MRPP) on graphs, also known as Multi-Agent PathFinding (MAPF), is a well-established NP-hard problem with critically important applications. In (near)-optimally ...

We took this version of HeCBench and are modifying it to build the CUDA and OMP codes to gather their roofline performance data. So far we have a large portion of the CUDA and OMP codes building ...