activity
20212026
most citedInteractive and Urgent HPC: Challenges and Opportunities

1 citations · 6 across the 7 of their papers we have counts for

collaborators

7 papers

cs.DC2026

Interactive and Urgent HPC: State of the Research

Albert Reuther, William Arndt, Johannes Blaschke +10

When we think of how we use smartphones, e-commerce, collaboration platforms, LLMs, etc., most of our interactions with computers are interactive and often urgent. Similar trends o…

cs.DC2025★ 1 cited

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…

cs.DC2024★ 1 cited

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…

cs.DC2024★ 1 cited

Interactive and Urgent HPC: Challenges and Opportunities

Albert Reuther, Nick Brown, William Arndt +7

As a broader set of applications from simulations to data analysis and machine learning require more parallel computational capability, the demand for interactive and urgent high p…

cs.DC2024★ 1 cited

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…

eess.SY2023★ 1 cited

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…

cs.DC2021★ 1 cited

Frisbee: automated testing of Cloud-native applications in Kubernetes

Fotis Nikolaidis, Antony Chazapis, Manolis Marazakis +1

As more and more companies are migrating (or planning to migrate) from on-premise to Cloud, their focus is to find anomalies and deficits as early as possible in the development li…