Onyx-Native, Information Flow Models and Scientific Computing
Offered By: Strange Loop Conference via YouTube
Course Description
Overview
Explore a 45-minute conference talk from Strange Loop that delves into Onyx-Native, a new library designed to support stateful, native-code backed Java objects in Onyx Platform workflows. Learn how Onyx's information flow model can address systemic problems in long-lived scientific computing systems, particularly climate-data ingest systems. Discover how this approach can revolutionize the handling of legacy systems that require scientific result accuracy and are often challenging for developers to understand. Examine specific examples of Onyx-Native applied to scientific computing, using the ASOS Ingest System at NCEI as a case study. Gain insights from George Kierstein, an experienced professional in high-performance computing systems with a background in computational neuroscience, as she shares her expertise in functional programming approaches to system architecture.
Syllabus
"Onyx-Native, Information Flow Models and Scientific computing" by George Kierstein
Taught by
Strange Loop Conference
Tags
Related Courses
Using Python's Math, Science, and Engineering LibrariesA Cloud Guru Biology Meets Programming: Bioinformatics for Beginners
University of California, San Diego via Coursera C Programming: Advanced Data Types - 5
Dartmouth College via Coursera C Programming: Modular Programming and Memory Management - 3
Dartmouth College via Coursera C Programming: Pointers and Memory Management - 4
Dartmouth College via Coursera