Last update: October 16, 2019
First time here? Check out the Resource Info page to learn about the resources available, and then visit the Startup page to get going! Startup, Campus Champions, and Education Allocation requests may be submitted at any time throughout the year.
New! The Resource Information page now displays XSEDE allocated resources as well as Service Provider Forum resources!
New! Autofill Your NSF Award Information : The XRAS submission interface can now autofill supporting grant information for NSF awards. Enter the 7-digit grant number in the Grant Number field and click the autofill button. XRAS will populate the first seven fields, although you will still need to select a field of science and enter the percentage support value.
PSC's Bridges-AI balances maximum capability and capacity, supporting the most complex deep-learning models with the highest accuracy and incorporating the largest data sets. Bridges-AI will make those transformative resources available, at no cost, to researchers across the country. The new resource, delivered by Hewlett Packard Enterprise (HPE), will add an NVIDIA DGX-2 enterprise AI research system and nine HPE Apollo 6500 Gen10 servers. The NVIDIA DGX-2 tightly integrates 16 NVIDIA Tesla "Volta" GPUs – the most powerful GPUs in the world—using the world's highest-bandwidth on-node switch, the NVSwitch. When used as a single processing unit, the DGX-2 provides 2 petaflops of peak performance, 1,000 times faster than a high-end laptop.
The NVIDIA DGX-2 has about 107 times as many GPU "CUDA cores" and 128 times as much GPU memory as a high-end laptop. The HPE Apollo 6500 servers each have eight "Volta" GPUs internally connected by NVIDIA's NVLink 2.0, providing substantial capacity to run many models concurrently. While Bridges-AI is primarily focused on AI, its GPUs can also accelerate certain other important applications. Bridges-AI will make possible research that cannot be done on other platforms, and it will allow other research to proceed up to 100 times faster than on users' local computers.
Bridges-AI is integrated with the existing Bridges system, providing a total of 17 petabytes of data storage, 29,036 CPU cores, 216 GPUs, 277 terabytes aggregate memory, and individual nodes with up to 12 terabytes of memory.
Consult the Bridges User Guide for more information.
XSEDE is now accepting allocation requests from research groups interested in analyzing XSEDE-collected data for studies of the impact of the XSEDE ecosystem on the scientific enterprise. These data sets from XSEDE services, such as allocations and accounting, are being published to support a range of third-party analyses and studies.
For researchers or research groups interested in these data sets, XSEDE requests that you submit a Startup allocation request. By submitting such a request, you will help XSEDE track the interest and value in providing these resources, as well as record the nature of the projects that have used the data sets. For more information, see "XSEDE Public Data Collections" on the Resource Information page.
The Science Gateways Community Institute (SGCI) is a new Level Two XSEDE Service Provider. SGCI helps its clients build science gateways, at any stage of development, through online and in-person resources and services. This is in contrast to XSEDE's ECSS program which helps existing science gateways connect to XSEDE resources.
SGCI can provide specialized long- or short-term consulting services for hands-on, custom development as well as advice from seasoned experts. Expertise covers many areas - technology selection, usability, graphic design, cybersecurity, licensing and more. Expertise can be provided regardless of the type of gateway (citizen science, compute intensive, data portal, etc.) or the resources used (campus resources, XSEDE, cloud).
Consult the Science Gateways Community Institute site for more information.
See the XSEDE Resources Catalog for a complete list of XSEDE compute, visualization and storage resources, and more details on the new systems.
These retiring resources, listed below, are not available for new or renewal research requests.
- TACC's Wrangler system is no longer accepting allocation requests and will be decommissioned from XSEDE on September 30, 2019.
The XRAS developers have updated the allocations submissions interface so that Renewal submissions will now have some data fields pre-populated with values from the prior submission.
The pre-populated values include the title, project roles, fields of science, keywords, and supporting grants that have not expired. Users are strongly encouraged to review these pre-filled values for any that may need updates.
Request End Dates for Education Allocations: Education Allocations can now be requested to align with the semester or training course period being taught. See the Education Allocations page for details.
Continuing this submission period, access to XSEDE storage resources along with compute resources will need to be requested and justified, both in the XSEDE Resource Allocation System (XRAS) and in the body of the proposal's main document. The following XSEDE sites will be offering allocatable storage facilities, these are:
- IU/TACC Jetstream - required when requesting IU/TACC Jetstream
- PSC Pylon - required when requesting PSC Bridges, Regular or Large Memory
- SDSC Data Oasis - required when requesting SDSC Comet or Comet GPU
- TACC Ranch - required when requesting TACC Stampede2
Storage needs have always been part of allocation requests, however, XSEDE will be enforcing the storage awards in unison with the storage sites. Please vist XSEDE's Storage page for more info.