The Iron Horse Vineyards Testbed has been on-line a year for teachers and researchers. Iron Horse Vineyards worked with CENIC and AT&T to bring in “fiber to the farm” and engaged UC San Diego and Sonoma State University to instrument the Testbed, collect, process, and archive the data, for access by all, via the National Data Platform.
Remote event
Many research problems on high-performance computing (HPC) systems benefit more from high-throughput computing (HTC) or many-task computing (MTC) models, which focus on completing numerous smaller tasks over time rather than using large, parallel applications. Here, we introduce how to build such structured workflows using the Slurm Workload Manager, including job arrays, dependencies, and job bundling strategies, while addressing common challenges in managing HTC/MTC workloads.
Remote event
Join SDSC in booth 4645 for the annual Supercomputing Conference (SC26) for High Performance Computing, Networking, Storage and Analysis.
Chicago, IL
Using AI to Enable Citability and Impact Analysis via PIDs will introduce you to key concepts in bibliometrics and explain how AI tools can assist with looking up and validating PIDs (ORCID, ROR) based on existing metadata.
Remote event
In this webinar we take a real science problem and use machine learning (ML) models to solve it. Basic concepts and best practices for data analysis and ML modeling will be discussed. ML modeling will be performed first locally and then we will deploy them on an HPC system.
Remote event
The TSCC AI webinar explores how TSCC can serve as an AI-for-science platform by bringing LLMs and AI coding agents into the HPC research environment. I’ll show how researchers can connect these AI tools with their scientific software, data, and TSCC computing resources, as well as some of our early benchmarking and evaluation results.
Remote event