PSC Resources Neocortex Neocortex allocations

Neocortex Allocations

 

Allocation requests for Neocortex are accepted by ACCESS on a rolling basis.  To get detailed application instructions, please email us at neocortex@.psc.edu with a brief description of your proposed research project.

For further information on the type of projects encouraged to apply, see the Neocortex project tracks page.

To see what kind of projects have been allocated, see the  Neocortex active projects page.

For specifics on the ML layers supported by the Cerebras hardware, see the Cerebras documentation.

An informative webinar recording is available for your reference in preparation for applying for an allocation. This webinar presents an overview of the Neocortex system and an update on the supported ML models and applications. You are encouraged to review the recording and view the slides.

Eligibility

 

Eligibility criteria to use this resource free of charge are as follows. Please contact us at neocortex@psc.edu if you have questions about your eligibility to apply.

  • Projects must be non-proprietary.
  • Applicants must be a researcher or educator at a US academic or non-profit research institution.
  • A principal investigator (PI) is required. PIs may not be a high school, undergraduate or graduate student; a qualified advisor must serve in this capacity. Postdocs are eligible to serve as PI.

Successful applicants must agree to abide by the Neocortex Acceptable Use Policy in order to gain access and use the system.

Awardees are wholly responsible for conducting their research project activities and preparing results for publication. In a few cases, members of the Neocortex team can be available to collaborate in a more involved manner.

For more information about Neocortex, see the Neocortex home page.

PSC’s Neocortex Among Elite Artificial Intelligence Computers Selected for National AI Research Resource Pilot Project

Initial Goal of NAIRR Pilot Project, Also Supported by Allocations Software Developed by PSC and ACCESS Partners, Will Be to Explore Trustworthy AI

PSC Recognized for Advances in Clean Energy Technology, Application of New Technology to Industrial Problem

14th Year Center Has Received HPCwire Awards, Presented Annually to Leaders in the Global High Performance Computing Community

Neocortex Speeds Fluid Simulation by Several Hundred Times

Real-time simulations offer better, faster predictions in dozens of real-world problems

Training

Neocortex: An Innovative Resource for Accelerating AI and HPC Development for Rapidly Evolving Research
All Campus Champions Community Call Presentation

This presentation gives an overview of Neocortex for the Campus Champions community. Neocortex is an NSF-funded AI supercomputer at PSC. Neocortex targets the acceleration of AI-powered scientific discovery by vastly shortening the time required for deep learning training and fostering greater integration of deep learning with scientific workflows.

Webinar: Spring 2023 Call for Proposals

This webinar presents the Spring 2023 Call for Proposals and gives a system overview of Neocortex.

Webinar: Neocortex CS-2 Overview

This webinar gives an overview of the recent Neocortex System upgrade to now feature two Cerebras CS-2 systems, in order to help researchers better understand the benefits of the new servers and changes to the system.

Contact us

Email us at neocortex@psc.edu

Neocortex in action

 Acknowledgment in publications

Please use the following citation when acknowledging the use of computational time on Neocortex:

Buitrago P.A., Nystrom N.A. (2021) Neocortex and Bridges-2: A High Performance AI+HPC Ecosystem for Science, Discovery, and Societal Good. In: Nesmachnow S., Castro H., Tchernykh A. (eds) High Performance Computing. CARLA 2020. Communications in Computer and Information Science, vol 1327. Springer, Cham. https://doi.org/10.1007/978-3-030-68035-0_15

Contact us

Email us at neocortex@psc.edu

This material is based upon work supported by the National Science Foundation under Grant Number 2005597. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.