gpu
Affinity Groups
Logo | Name | Description | Tags | Join |
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Jetstream-2 | Jetstream2 is a transformative update to the NSF’s science and engineering cloud infrastructure and provides 8 petaFLOPS of supercomputing power to simplify data analysis, boost discovery, and… | Login to join | ||
FABRIC Testbed | FABRIC is a US-based nation-wide testbed supporting advanced networking, application and security research funded by the US National Science Foundation. Members get help with using FABRIC and… | Login to join | ||
DELTA | DELTA is a dedicated, ACCESS-allocated resource designed by HPE and NCSA, delivering a highly capable GPU-focused compute environment for GPU and CPU workloads. Besides offering a mix of standard and… | 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
Expertise
Expertise
Chris Carothers
Rensselaer Polytechnic Institute
Programs
CAREERS
Roles
mentor, steering committee, regional admin
Expertise
People with Interest
Doug Heckman
Rochester Institute of Technology
Programs
Campus Champions
Roles
research computing facilitator