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20232026
most citedA Quantitative Approach for Adopting Disaggregated Memory in HPC Systems

13 citations · 21 across the 17 of their papers we have counts for

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Showing 2024Show all

9 papers · 1 filter

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★ 1 cited

Accelerating Drug Discovery in AutoDock-GPU with Tensor Cores

Gabin Schieffer, Ivy Peng

In drug discovery, molecular docking aims at characterizing the binding of a drug-like molecule to a macromolecule. AutoDock-GPU, a state-of-the-art docking software, estimates the…

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

Disaggregated Memory with SmartNIC Offloading: a Case Study on Graph Processing

Jacob Wahlgren, Gabin Schieffer, Maya Gokhale +2

Disaggregated memory breaks the boundary of monolithic servers to enable memory provisioning on demand. Using network-attached memory to provide memory expansion for memory-intensi…

cs.DC2024

Multi-level Memory-Centric Profiling on ARM Processors with ARM SPE

Samuel Miksits, Ruimin Shi, Maya Gokhale +3

High-end ARM processors are emerging in data centers and HPC systems, posing as a strong contender to x86 machines. Memory-centric profiling is an important approach for dissecting…

cs.DC2024

Understanding Data Movement in AMD Multi-GPU Systems with Infinity Fabric

Gabin Schieffer, Ruimin Shi, Stefano Markidis +3

Modern GPU systems are constantly evolving to meet the needs of computing-intensive applications in scientific and machine learning domains. However, there is typically a gap betwe…

cs.DC2024★ 1 cited

Harnessing Integrated CPU-GPU System Memory for HPC: a first look into Grace Hopper

Gabin Schieffer, Jacob Wahlgren, Jie Ren +2

Memory management across discrete CPU and GPU physical memory is traditionally achieved through explicit GPU allocations and data copy or unified virtual memory. The Grace Hopper S…

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…