NCSA Training and Seminars

This workshop introduces parallel computing with MATLAB® for solving computational and data-intensive problems using multicore processors, GPUs, and clusters. Participants will learn to parallelize MATLAB algorithms, speed up applications, run Simulink simulations in parallel, and scale code to the NCSA Delta Cluster.

NCSA is hosting an onsite workshop by the Pittsburgh Supercomputing Center on Shared Memory Programming Using OpenMP. C and Fortran programmers will get hands-on experience with OpenMP, learning about parallel loop scheduling, data declarations, reduction clauses, and OpenMP library functions. Exercises will use PSC's supercomputing cluster. Register by Feb 17 at Noon ET.

This Seminar covers topics on building and training ML models, ranging from beginner to complex, deep learning models trained on the Delta Supercomputer's multi-GPU nodes. This seminar is open to all, including graduate students, undergrads, and particularly domain scientists whose primary affiliation is not with a STEM program or department.

This Seminar covers topics on building and training ML models, ranging from beginner to complex, deep learning models trained on the Delta Supercomputer's multi-GPU nodes. This seminar is open to all, including graduate students, undergrads, and particularly domain scientists whose primary affiliation is not with a STEM program or department.