4 citations · 11 across the 14 of their papers we have counts for
14 papers
NET4EXA: Pioneering the Future of Interconnects for Supercomputing and AI
Michele Martinelli, Roberto Ammendola, Andrea Biagioni +41
NET4EXA aims to develop a next-generation high-performance interconnect for HPC and AI systems, addressing the increasing demands of large-scale infrastructures, such as those requ…
Optimizing the Longhorn Cloud-native Software Defined Storage Engine for High Performance
Konstantinos Kampadais, Antony Chazapis, Angelos Bilas
Longhorn is an open-source, cloud-native software-defined storage (SDS) engine that delivers distributed block storage management in Kubernetes environments. This paper explores pe…
Running Cloud-native Workloads on HPC with High-Performance Kubernetes
Antony Chazapis, Evangelos Maliaroudakis, Fotis Nikolaidis +2
The escalating complexity of applications and services encourages a shift towards higher-level data processing pipelines that integrate both Cloud-native and HPC steps into the sam…
vLSM: Low tail latency and I/O amplification in LSM-based KV stores
Giorgos Xanthakis, Antonios Katsarakis, Giorgos Saloustros +1
LSM-based key-value (KV) stores are an important component in modern data infrastructures. However, they suffer from high tail latency, in the order of several seconds, making them…
Guardian: Safe GPU Sharing in Multi-Tenant Environments
Manos Pavlidakis, Giorgos Vasiliadis, Stelios Mavridis +3
Modern GPU applications, such as machine learning (ML), can only partially utilize GPUs, leading to GPU underutilization in cloud environments. Sharing GPUs across multiple applica…
Arax: A Runtime Framework for Decoupling Applications from Heterogeneous Accelerators
Manos Pavlidakis, Stelios Mavridis, Antony Chazapis +2
Today, using multiple heterogeneous accelerators efficiently from applications and high-level frameworks, such as TensorFlow and Caffe, poses significant challenges in three respec…