GPU in EDU - Session 1/4: Userspace Package Management and Reproducible Software Pipelines скачать в хорошем качестве

GPU in EDU - Session 1/4: Userspace Package Management and Reproducible Software Pipelines

1. Userspace Package Management and Reproducible Software Pipelines This session: Modern computational science and AI/ML research demand flexible, reproducible software environments to support the development of robust and reliable workflows. However, the vast majority of researchers manage these environments interactively, leading to fragile, non-portable setups that are difficult to share. This talk will cover best practices for managing software environments using declarative and stateless principles from cloud-native ecosystems - adapted for batch-based HPC systems. By adopting this approach, researchers can minimize "works on my machine" issues, accelerate peer adoption, and streamline the transition from prototyping to large-scale HPC/AI workloads. Recorded presentation delivered on 15 May 2025 from the South Cafeteria of the UW Tower, University of Washington, Seattle, WA, USA as part of GPU in EDU. The GPU in EDU video series showcases a dynamic event focused on advancing research and teaching through GPU computing. Featuring experts from academia, industry, and research support, the series explores reproducible software practices, GPU-accelerated data science, and strategies for integrating high-performance computing into the classroom. Whether you're building scalable AI/ML workflows, managing complex research software environments, or bringing GPU computing into your curriculum, this series offers practical insights and resources to help you and your students succeed. Presenter: Chris Simmons, Scientist in Residence, Cambridge Computer Editing: Sam Han; UW-IT Communications & Marketing Production Specialist GPU in EDU Video Series: 1. Userspace Package Management and Reproducible Software Pipelines - this video 2. Empowering Research with GPU Computing: Services & Support from UW-IT RC -    • GPU in EDU - Session 2/4: Empowering Resea...   3. Computing in Curricula: Integrating High-Performance Acceleration into Ed -    • GPU in EDU - Session 4/4: Computing in Cur...   4. Open Source GPU Accelerated Data Science with NVIDIA RAPIDS -    • GPU in EDU - Session 3/4: Open Source GPU ...   More information: https://www.cambridgecomputer.com/ UW-IT Research Computing Services - https://uwconnect.uw.edu/it?id=kb_art...