346 citations · 833 across the 47 of their papers we have counts for
11 papers · 1 filter
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…
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…
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…
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.…
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…
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…
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…
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…
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…
Beyond the Buzz: Strategic Paths for Enabling Useful NISQ Applications
Pratibha Raghupati Hegde, Oleksandr Kyriienko, Hermanni Heimonen +6
There is much debate on whether quantum computing on current NISQ devices, consisting of noisy hundred qubits and requiring a non-negligible usage of classical computing as part of…
Autonomy Loops for Monitoring, Operational Data Analytics, Feedback, and Response in HPC Operations
Francieli Boito, Jim Brandt, Valeria Cardellini +24
Many High Performance Computing (HPC) facilities have developed and deployed frameworks in support of continuous monitoring and operational data analytics (MODA) to help improve ef…