Kimi K2.5 Agent Swarm : Spread Complex Jobs Across 100 Agents, Attack Tasks in Packs

Kimi K2.5 introduces a multi-agent orchestration with up to 100 workers, helping teams cut complex task time and boost accuracy.
GitHub

Can Large Language Models Predict Parallel Code Performance?

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 ...
University of Innsbruck

Supercomputer LEO3E of the Research Area Scientific Computing

LEO3E is an extension of the existing high performance compute cluster LEO3 of the Research Area Scientific Computing at the University of Innsbruck, financed by the Research Area Scientific Computing ...

Software allows scientists to simulate nanodevices on a supercomputer

From computers to smartphones, from smart appliances to the internet itself, the technology we use every day only exists ...

Moore’s law: the famous rule of computing has reached the end of the road, so what comes next?

This phenomenon became known as Moore’s Law, after the businessman and scientist Gordon Moore. Moore’s Law summarised the ...
IEEE

Quantum Computing Through the Lens of Control: A Tutorial Introduction

Abstract: Quantum computing is a fascinating interdisciplinary research field that promises to revolutionize computing by efficiently solving previously intractable problems. Recent years have seen ...
Phys.org

Error-correction technology to turn quantum computing into real-world power

Ripples spreading across a calm lake after raindrops fall—and the way ripples from different drops overlap and travel outward—is one image that helps us picture how a quantum computer handles ...
IEEE

Accelerated Reconstruction of Scenes Using CUDA-Based Parallel Computing

Abstract: In recent years, perceiving the environment has been the most important part of unmanned aerial vehicles (UAVs) inspection tasks on the battlefield scene. This article aims to study how to ...