28 citations · 54 across the 15 of their papers we have counts for
16 papers
Communication Offloading on SmartNIC DPUs: A Quantitative Approach
Jacob Wahlgren, Andong Hu, Roger Pearce +2
SmartNIC Data Processing Units (DPUs) offer a promising solution for saving high-end CPU resources by offloading tasks to programmable cores near the network interface. In this wor…
Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs
Jacob Wahlgren, Gabin Schieffer, Ruimin Shi +4
Discrete GPUs are a cornerstone of HPC and data center systems, requiring management of separate CPU and GPU memory spaces. Unified Virtual Memory (UVM) has been proposed to ease t…
Inter-APU Communication on AMD MI300A Systems via Infinity Fabric: a Deep Dive
Gabin Schieffer, Jacob Wahlgren, Ruimin Shi +4
The ever-increasing compute performance of GPU accelerators drives up the need for efficient data movements within HPC applications to sustain performance. Proposed as a solution t…
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…
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…
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…
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…
A Quantitative Approach for Adopting Disaggregated Memory in HPC Systems
Jacob Wahlgren, Gabin Schieffer, Maya Gokhale +1
Memory disaggregation has recently been adopted in data centers to improve resource utilization, motivated by cost and sustainability. Recent studies on large-scale HPC facilities…
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…
Quantum Computer Simulations at Warp Speed: Assessing the Impact of GPU Acceleration
Jennifer Faj, Ivy Peng, Jacob Wahlgren +1
Quantum computer simulators are crucial for the development of quantum computing. In this work, we investigate the suitability and performance impact of GPU and multi-GPU systems o…
Evaluating Emerging CXL-enabled Memory Pooling for HPC Systems
Jacob Wahlgren, Maya Gokhale, Ivy B. Peng
Current HPC systems provide memory resources that are statically configured and tightly coupled with compute nodes. However, workloads on HPC systems are evolving. Diverse workload…
Large-Scale Direct Numerical Simulations of Turbulence Using GPUs and Modern Fortran
Martin Karp, Daniele Massaro, Niclas Jansson +4
We present our approach to making direct numerical simulations of turbulence with applications in sustainable shipping. We use modern Fortran and the spectral element method to lev…