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 ...
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 ...
IEEE

Parallel Spiking Unit for Efficient Training of Spiking Neural Networks

Abstract: Efficient parallel computing has become a pivotal element in advancing artificial intelligence. Yet, the deployment of Spiking Neural Networks (SNNs) in this domain is hampered by their ...
IEEE

ReflexPilot: Startup-Aware Dependent Task Scheduling Based on Deep Reinforcement Learning for Edge-Cloud Collaborative Computing

Abstract: With the increasing number of devices, the demand for data computation is growing rapidly. In edge-cloud collaborative computing, tasks can be scheduled to servers as interdependent subtasks ...
Ulster University

Accelerating your Research using the Northern Ireland HPC cluster: Hands-on guide with GPU and CPU-based applications - Part 2

This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.