1 citations · 1 across the 4 of their papers we have counts for
5 papers · 1 filter
Characterizing the Impact of Congestion in Modern HPC Interconnects
Lorenzo Piarulli, Marco Faltelli, Dirk Pleiter +7
High-performance computing (HPC) systems increasingly support both scalable AI training and large-scale simulation workloads. Both typically rely heavily on collective communicatio…
DECICE: Device-Edge-Cloud Intelligent Collaboration Framework
Julian Kunkel, Christian Boehme, Jonathan Decker +11
DECICE is a Horizon Europe project that is developing an AI-enabled open and portable management framework for automatic and adaptive optimization and deployment of applications in…
Optimising AI Training Deployments using Graph Compilers and Containers
Nina Mujkanovic, Karthee Sivalingam, Alfio Lazzaro
Artificial Intelligence (AI) applications based on Deep Neural Networks (DNN) or Deep Learning (DL) have become popular due to their success in solving problems likeimage analysis…
Analysis of parallel I/O use on the UK national supercomputing service, ARCHER using Cray LASSi and EPCC SAFE
Andrew Turner, Dominic Sloan-Murphy, Karthee Sivalingam +2
In this paper, we describe how we have used a combination of the LASSi tool (developed by Cray) and the SAFE software (developed by EPCC) to collect and analyse Lustre I/O performa…
LASSi: Metric based I/O analytics for HPC
Karthee Sivalingam, Harvey Richardson, Adrian Tate +1
LASSi is a tool aimed at analyzing application usage and contention caused by use of shared resources (filesystem or network) in a HPC system. LASSi was initially developed to supp…