activity
20232025
most citedARC-V: Vertical Resource Adaptivity for HPC Workloads in Containerized Environments

3 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DC2025★ 3 cited

ARC-V: Vertical Resource Adaptivity for HPC Workloads in Containerized Environments

Daniel Medeiros, Jeremy J. Williams, Jacob Wahlgren +2

Existing state-of-the-art vertical autoscalers for containerized environments are traditionally built for cloud applications, which might behave differently than HPC workloads with…

cs.DC2024

Kub: Enabling Elastic HPC Workloads on Containerized Environments

Daniel Medeiros, Jacob Wahlgren, Gabin Schieffer +1

The conventional model of resource allocation in HPC systems is static. Thus, a job cannot leverage newly available resources in the system or release underutilized resources durin…

cs.DC2024

A GPU-accelerated Molecular Docking Workflow with Kubernetes and Apache Airflow

Daniel Medeiros, Gabin Schieffer, Jacob Wahlgren +1

Complex workflows play a critical role in accelerating scientific discovery. In many scientific domains, efficient workflow management can lead to faster scientific output and broa…

cs.DC2024

OpenCUBE: Building an Open Source Cloud Blueprint with EPI Systems

Ivy Peng, Martin Schulz, Utz-Uwe Haus +8

OpenCUBE aims to develop an open-source full software stack for Cloud computing blueprint deployed on EPI hardware, adaptable to emerging workloads across the computing continuum.…

cs.DC2024

Understanding Layered Portability from HPC to Cloud in Containerized Environments

Daniel Medeiros, Gabin Schieffer, Jacob Wahlgren +1

Recent development in lightweight OS-level virtualization, containers, provides a potential solution for running HPC applications on the cloud platform. In this work, we focus on t…

cs.DC2023

Boosting the Performance of Object Tracking with a Half-Precision Particle Filter on GPU

Gabin Schieffer, Nattawat Pornthisan, Daniel Araújo de Medeiros +3

High-performance GPU-accelerated particle filter methods are critical for object detection applications, ranging from autonomous driving, robot localization, to time-series predict…