Submission information
Submission Number: 14
Submission ID: 56
Submission UUID: 88169399-f936-41ee-911c-8bd6b28d0137
Submission URI: /form/resource
Created: Thu, 09/19/2019 - 16:21
Completed: Thu, 09/19/2019 - 16:21
Changed: Fri, 03/29/2024 - 14:55
Remote IP address: 130.215.55.231
Submitted by: Mariana Pachon-Puentes
Language: English
Is draft: No
Webform: Knowledge Base Resources
Approved: Yes Title: Cornell Virtual Workshop Category: Learning Tags: jetstream (196), stampede2 (723), cloud-computing (672), data-analysis (422), performance-tuning (17), parallelization (223), file-transfer (252), globus (29), slurm (71), training (381), cuda (222), matlab (2), python (69), r (32), mpi (220) Skill Level: Beginner (304), Intermediate (305), Advanced (306) Description: Cornell Virtual Workshop is a comprehensive training resource for high performance computing topics. The Cornell University Center for Advanced Computing (CAC) is a leader in the development and deployment of Web-based training programs. Our Cornell Virtual Workshop learning platform is designed to enhance the computational science skills of researchers, accelerate the adoption of new and emerging technologies, and broaden the participation of underrepresented groups in science and engineering. Over 350,000 unique visitors have accessed Cornell Virtual Workshop training on programming languages, parallel computing, code improvement, and data analysis. The platform supports learning communities around the world, with code examples from national systems such as Frontera, Stampede2, and Jetstream2. Link to Resource: - Roadmaps in Cornell Virtual Workshop (https://cvw.cac.cornell.edu/roadmaps) - Search for topics (https://cvw.cac.cornell.edu/topics)