13 citations · 21 across the 17 of their papers we have counts for
17 papers
Taming GPU Underutilization via Static Partitioning and Fine-grained CPU Offloading
Gabin Schieffer, Ruimin Shi, Jie Ren +1
Advances in GPU compute throughput and memory capacity brings significant opportunities to a wide range of workloads. However, efficiently utilizing these resources remains challen…
High-performance Vector-length Agnostic Quantum Circuit Simulations on ARM Processors
Ruimin Shi, Gabin Schieffer, Pei-Hung Lin +3
ARM SVE and RISC-V RVV are emerging vector architectures in high-end processors that support vectorization of flexible vector length. In this work, we leverage an important workloa…
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…
ARM SVE Unleashed: Performance and Insights Across HPC Applications on Nvidia Grace
Ruimin Shi, Gabin Schieffer, Maya Gokhale +3
Vector architectures are essential for boosting computing throughput. ARM provides SVE as the next-generation length-agnostic vector extension beyond traditional fixed-length SIMD.…
Harnessing CUDA-Q's MPS for Tensor Network Simulations of Large-Scale Quantum Circuits
Gabin Schieffer, Stefano Markidis, Ivy Peng
Quantum computer simulators are an indispensable tool for prototyping quantum algorithms and verifying the functioning of existing quantum computer hardware. The current largest qu…
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…
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…