computational:storage
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Table of Contents
UNDER CONSTRUCTION
CompF4: Storage and processing resource access (Facility and Infrastructure R&D)
Working Group Co-Conveners
Name | Institution | |
---|---|---|
Wahid Bhimji | LBL | wbhimji[at]lbl.gov |
Robert Gardner | Chicago | rwg[at]uchicago.edu |
Frank Wuerthwein | UCSD | fkw@[at]ucsd.edu |
Description
- Functional areas
- Provide access to data for large scale central workflows
- Provide access to data for end user analysis
- Access to Long term high latency storage (tape, etc.)
- Access to Low latency storage (disk, ssd, nvme, … )
- Access to CPU resources ➜ GRID, HPC, CLOUD
- Access to Accelerator resources ➜ GRID, HPC, CLOUD
- Access to Specialized AI Hardware (and/or other domain-specific architectures)
- Interconnecting everything through Network
- Mandate
- What are the workflows related to storing and accessing data of the stakeholders?
- What different storage solutions/technologies are used, will be used?
- What is the technology evolution of storage solutions/technologies? What R&D is needed?
- What are the storage and access needs of the stakeholders?
- What are the storage resource needs of the stakeholders?
- What is the role of the network in these workflows?
- How are the solutions used by the community embedded/derived from solutions from industry/other science domains
- Recruit community members to represent the physicist/analysis perspective.
computational/storage.1594675374.txt.gz · Last modified: 2020/07/13 16:22 by wbhimji