Cornell University

01/17/2025 | Press release | Distributed by Public on 01/17/2025 07:34

Scientific Computing Training Series kicks off Feb. 5

Cornell University's Center for Advanced Computing (CAC), in collaboration with Weill Cornell Medicine's Scientific Computing Unit (SCU), Information & Technology Services (ITS) and the Clinical and Translational Science Center, is pleased to announce the Scientific Computing Training Series for Winter/Spring 2025. The series will provide training in advanced computing techniques and will foster skill development for students, faculty and staff across Cornell's campuses.

"This training series is designed to support the growing demand for skills in scientific computing, artificial intelligence, data science and high-performance computing (HPC) at Cornell," said CAC Directory Rich Knepper.

Training sessions will be held via Zoom and are open to the entire Cornell community, including students, alumni, research collaborators and staff across the entire university, including the Ithaca campus, Cornell Tech, Weill Cornell Medicine and Weill Cornell Medicine-Qatar. The sessions are free of charge. Each session will last 60 minutes, followed by an optional 30-minute discussion period. Sessions will begin at 9:00 a.m. ET, except for the session on Mar. 12, which will begin at 12:00 p.m. ET.

Webinar schedule:

  • Feb. 5: Five Ways to Get Started with GPUs (9 a.m. ET)
  • Feb. 12: Introduction to Python (9 a.m. ET)
  • Feb. 26: Data Transfer for HPC (9 a.m. ET)
  • Mar. 5: An Overview of AI (9 a.m. ET)
  • Mar. 12: Accelerated General Data Science in Medicine with RAPIDS, CuPy, and Numba (12 p.m. ET)
  • Mar. 19: Getting Started with R (9 a.m. ET)
  • Mar. 26: Data Analysis with R (9 a.m. ET)
  • Apr. 9: SCU HPC Job Optimization Methods and Techniques (9 a.m. ET)

For more information and to register for the sessions, visit the event website: https://its.weill.cornell.edu/scientific-computing-training-series. Detailed course information can be found by clicking the title of each course.