gpu
Affinity Groups
Logo | Name | Description | Tags | Join |
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Expanse | Expanse is a dedicated ACCESS cluster designed by Dell and SDSC delivering 5.16 peak petaflops, and will offer Composable Systems and Cloud Bursting. Expanse's standard compute nodes are each… | Login to join | ||
High Performance Visualization | This group first and foremost is a space for those experimenting and learning to leverage High Performance Compute environments for visualization. To be a part of this community you don't need to be… | Login to join | ||
AI Institutes Cyberinfrastructure | Gathering place for AI researchers to find curated information about using ACCESS resources for AI applications and research. | Login to join |
Announcements
Title | Date |
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NVIDIA GenAI/LLM Virtual Workshop Series for Higher Ed | 02/17/24 |
Upcoming Events & Trainings
Topics from Ask.CI
Knowledge Base Resources
Title | Category | Tags | Skill Level |
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ACCESS HPC Workshop Series | Learning | deep-learning, machine-learning, neural-networks, big-data, tensorflow, gpu, training, openmpi, c, c++, fortran, openmp, programming, mpi, spark | Beginner, Intermediate |
ACCESS KB Guide - Expanse | Docs | expanse, composable-systems, gpu | Beginner, Intermediate, Advanced |
ACES: Charliecloud Containers for Scientific Workflows (Tutorial) | Learning | ACES, TAMU, scratch, lammps, tensorflow, open-ondemand, gpu, nfs, slurm, bash, training, python, containers | Beginner |
Engagements
GPU-accelerated Ice Sheet Flow Modeling
Sea levels are rising (3.7 mm/year and increasing!)! The primary contributor to rising sea levels is enhanced polar ice discharge due to climate change. However, their dynamic response to climate change remains a fundamental uncertainty in future projections. Computational cost limits the simulation time on which models can run to narrow the uncertainty in future sea level rise predictions. The project's overarching goal is to leverage GPU hardware capabilities to significantly alleviate the computational cost and narrow the uncertainty in future sea level rise predictions. Solving time-independent stress balance equations to predict ice velocity or flow is the most computationally expensive part of ice-sheet simulations in terms of computer memory and execution time. The PI developed a preliminary ice-sheet flow GPU implementation for real-world glaciers. This project aims to investigate the GPU implementation further, identify bottlenecks and implement changes to justify it in the price to performance metrics to a "standard" CPU implementation. In addition, develop a performance portable hardware (or architecture) agnostic implementation.
People with Expertise
Jack Boynton
University of Vermont
Programs
Northeast
Roles
student-facilitator, researcher/educator
Expertise
Trey Breckenridge
Mississippi State University
Programs
Campus Champions
Roles
research computing facilitator
Expertise
Jeff Falgout
United States Geological Survey
Programs
Campus Champions, RMACC
Roles
research computing facilitator, ci systems engineer
Expertise
People with Interest
Interests
Interests
Shawn Sivy
The College of New Jersey
Programs
Campus Champions, CAREERS
Roles
research computing facilitator, ci systems engineer