Events

Fast Machine Learning for Science Conference 2026

Registration and Abstract Submission for Fast ML for Science Conference 2026 Now Open - As experimental methods continue to evolve, generating increasingly complex and high-resolution datasets, machine learning (ML) is becoming an essential tool across numerous scientific disciplines. This conference will explore emerging ML methods and their applications in scientific discovery, focusing on processing technologies and strategies to accelerate deep learning and inference.

UC San Diego

Linux tools for text processing (COMPLECS)

An overview of commonly used Linux tools for searching and manipulating text. We progress from the simplest tools, such as head, tail, cut, paste, to more complex tools grep, awk and sed.

Remote event

Accelerating scientific applications with OpenMP offload on SDSC Cosmos (Advanced Computing Series)

In this talk we show how OpenMP offload capabilities can allow many traditional scientific codes to run on GPUs. We will provide an overview of which problems are best candidates to be accelerated, and what are the typical pain points programmers can expect. We will also show how shared-memory systems, like the AMD MI300A in SDSC Cosmos, can help mitigate some of those problems.

Remote event

Data Transfer (COMPLECS)

Efficiently transferring data is a critical part of building research workflows, whether working with experimental or simulated data on local or high-performance computing (HPC) systems. Here, we introduce key concepts and command-line tools for data transfer, including how to verify data integrity, use compression, and select appropriate transfer methods based on data size, location, and organization.

Remote event

Interactive Computing (COMPLECS)

Interactive high-performance computing (HPC) involves real-time user inputs that result in actions being performed on HPC compute nodes. This session presents an overview of interactive computing tools and methods.

Remote event

Advanced Computing Series: National Research Platform for Agentic AI: Running Inference on GPUs and GenAI Cards

This tutorial introduces the National Research Platform (NRP) as a unified environment for agentic AI development and large-scale inference on GPUs and next-generation GenAI accelerators. Participants will gain hands-on experience deploying and running models using NVIDIA GPUs and Qualcomm Cloud AI 100 Ultra cards through browser-based tools like JupyterHub. The session emphasizes practical workflows for building and managing agentic AI systems, lowering barriers to advanced AI infrastructure. It is designed for educators and researchers seeking scalable, accessible AI compute for real-world applications.

Remote event

Linux Bash Shell Scripting (COMPLECS)

Shell scripting improves productivity and reduces errors in HPC workflows by automating tasks like data processing, backups, and system monitoring. This session builds on basic Linux command-line skills to teach Bash scripting syntax, constructs, and best practices for effective automation.

Remote event

Using Regular Expressions with Linux Tools (COMPLECS)

Essentials of using regular expressions (regexes) with the Linux tools grep, awk and sed. Topics include quantifiers, wildcards, grouping, alternation, word boundaries, lazy and greedy matching and regex flavors. Attendees should at least be familiar with grep.

Remote event

High Throughput and Many Task Computing (COMPLECS)

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

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