2.5k citations
- Lawrence Berkeley National LaboratoryUS117 papers
- University of California, BerkeleyUS66 papers
- California Institute of TechnologyUS18 papers
- University of OxfordGB18 papers
- University of Rome Tor VergataIT18 papers
- University of California, DavisUS17 papers
- University of TorontoCA17 papers
- Jet Propulsion LaboratoryUS16 papers
- Sapienza University of RomeIT16 papers
- National Research CouncilLK14 papers
- Space Sciences LaboratoryUS14 papers
- Queen Mary University of LondonGB12 papers
8 papers · 1 filter
Exploring Dynamic Load Balancing Algorithms for Block-Structured Mesh-and-Particle Simulations in AMReX
Amitash Nanda, Md Kamal Hossain Chowdhury, Hannah Ross +1
Load balancing is critical for successful large-scale high-performance computing (HPC) simulations. With modern supercomputers increasing in complexity and variability, dynamic loa…
Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows
Rafael Ferreira da Silva, Deborah Bard, Kyle Chard +108
The Workflows Community Summit gathered 111 participants from 18 countries to discuss emerging trends and challenges in scientific workflows, focusing on six key areas: time-sensit…
Accelerating X-Ray Tracing for Exascale Systems using Kokkos
Felix Wittwer, Nicholas K. Sauter, Derek Mendez +7
The upcoming exascale computing systems Frontier and Aurora will draw much of their computing power from GPU accelerators. The hardware for these systems will be provided by AMD an…
Accelerating quantum many-body configuration interaction with directives
Brandon Cook, Patrick J. Fasano, Pieter Maris +2
Many-Fermion Dynamics-nuclear, or MFDn, is a configuration interaction (CI) code for nuclear structure calculations. It is a platform-independent Fortran 90 code using a hybrid MPI…
Real-Time XFEL Data Analysis at SLAC and NERSC: a Trial Run of Nascent Exascale Experimental Data Analysis
Johannes P. Blaschke, Aaron S. Brewster, Daniel W. Paley +7
X-ray scattering experiments using Free Electron Lasers (XFELs) are a powerful tool to determine the molecular structure and function of unknown samples (such as COVID-19 viral pro…
Time-Based Roofline for Deep Learning Performance Analysis
Yunsong Wang, Charlene Yang, Steven Farrell +3
Deep learning applications are usually very compute-intensive and require a long run time for training and inference. This has been tackled by researchers from both hardware and so…