Linda Akli
Discover More with XSEDE
No access to labs, hands-on projects or in-person activities! Computation, modeling, simulation, visualization, and data analytics to the rescue. Extreme Science and Engineering Discovery Environment (XSEDE) is an NSF-funded cyberinfrastructure project responsible for managing advanced computing resources for the academic research community. The XSEDE ecosystem encompasses a broad portfolio of resources including multi-core and many-core high-performance computing (HPC) systems, distributed high-throughput computing (HTC) environments, visualization and data analysis systems, large-memory systems, data storage, and cloud systems. XSEDE-allocated resources are provided at no cost to faculty, and are available for research and teaching. Faculty, scientists, IT staff, students, and administrators are welcome to participate in XSEDE training and to make use of our online education and training materials. XSEDE student programs provide exposure to the use of advanced computing in research and facilitate the development of computational and data science competencies.
Mary Ann Leung
Conducting research during a pandemic can be challenging; consider exploring the fields of computational science and engineering where your research is conducted on computers and can easily be done from the comfort of your home. We will discuss ways to learn about research in the field as well as internships and other ways to explore this exciting interdisciplinary field that spans biotechnology, nanotechnology, artificial intelligence and machine learning, and touches every part of STEM. CSE is a challenging, exciting, and growing field!
Gregory Triplett, Jr.
Simulation and Computer-based Research: A Continuation of Experiential Learning During COVID
This presentation/panel/workshop covers the what (simulation and computer-based research and opportunities for undergraduates), the why (to produce research results until laboratories return to full-strength), and the how (through partnerships and access to computing resources).