1 citations · 1 across the 4 of their papers we have counts for
5 papers
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.…
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…