346 citations · 833 across the 47 of their papers we have counts for
6 papers · 1 filter
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…
Leveraging HPC Profiling & Tracing Tools to Understand the Performance of Particle-in-Cell Monte Carlo Simulations
Jeremy J. Williams, David Tskhakaya, Stefan Costea +3
Large-scale plasma simulations are critical for designing and developing next-generation fusion energy devices and modeling industrial plasmas. BIT1 is a massively parallel Particl…
Perspectives on AI Architectures and Co-design for Earth System Predictability
Maruti K. Mudunuru, James A. Ang, Mahantesh Halappanavar +8
Recently, the U.S. Department of Energy (DOE), Office of Science, Biological and Environmental Research (BER), and Advanced Scientific Computing Research (ASCR) programs organized…
Rethinking Memory Profiling and Migration for Multi-Tiered Large Memory Systems
Jie Ren, Dong Xu, Ivy Peng +4
Multi-tiered large memory systems call for rethinking of memory profiling and migration because of the unique problems unseen in the traditional memory systems with smaller capacit…