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Computer Systems Cluster

Status: Archived

Archived funding opportunity

This document has been archived.

Important information about NSF’s implementation of the revised 2 CFR

NSF Financial Assistance awards (grants and cooperative agreements) made on or after October 1, 2024, will be subject to the applicable set of award conditions, dated October 1, 2024, available on the NSF website. These terms and conditions are consistent with the revised guidance specified in the OMB Guidance for Federal Financial Assistance published in the Federal Register on April 22, 2024.

Important information for proposers

All proposals must be submitted in accordance with the requirements specified in this funding opportunity and in the NSF Proposal & Award Policies & Procedures Guide (PAPPG) that is in effect for the relevant due date to which the proposal is being submitted. It is the responsibility of the proposer to ensure that the proposal meets these requirements. Submitting a proposal prior to a specified deadline does not negate this requirement.

Synopsis

Future computing systems will be required to control a greater variety of computing, communication, storage, and external devices; to support a broader range of increasingly demanding applications; and to manage hundreds of asynchronous activities correctly, securely, and reliably. This cluster supports research and education activities that address these requirements in a variety of systems, including distributed, mobile, and embedded systems; sensing and control systems; dynamically configured, multiple-component systems; parallel systems; and trusted systems.

Areas of current interest include new ways to organize systems (e.g., peer to peer); software architectures that scale to handle thousands of components or a spectrum of heterogeneous components; ways to handle complex combinations of requirements, such as meeting real-time constraints and coordinating control in an embedded, failure-prone environment; methods that enable systems to detect problems and to take corrective action without human intervention; tools to analyze and predict the behavior of complete computing systems; compiler and runtime techniques for developing and controlling the execution of complex, dynamically changing applications; storage systems that are low-cost, scalable, and reliable; and operating systems and libraries for new technologies.

Computer Systems Cluster Staff

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