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Exploiting Parallelism and Scalability (XPS)

Status: Archived

Archived funding opportunity

This document has been archived.

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.


Computing systems have undergone a fundamental transformation from the single-core processor-devices of the turn of the century to today's ubiquitous and networked-devices with multicore/many-core processors along with warehouse-scale computing via the cloud. At the same time, semiconductor technology is facing fundamental physical limits and single-processor performance has plateaued. This means that the ability to achieve predictable performance improvements through improved processor technologies alone has ended. Thus, parallelism has become critically important.

The Exploiting Parallelism and Scalability (XPS) program aims to support groundbreaking research leading to a new era of parallel computing. Achieving the needed breakthroughs will require a collaborative effort among researchers representing all areas -- from services and applications down to the micro-architecture -- and will be built on new concepts, theories, and foundational principles. New approaches to achieving scalable performance and usability need new abstract models and algorithms, new programming models and languages, and new hardware architectures, compilers, operating systems and run-time systems, and must exploit domain and application-specific knowledge. Research is also needed on energy efficiency, communication efficiency, and on enabling the division of effort between edge devices and clouds.< /p>

Program contacts

Anindya Banerjee
abanerje@nsf.gov (703) 292-7885 CISE/CCF
Tracy Kimbrel
tkimbrel@nsf.gov (703) 292-7924 CISE/CCF
Tao Li
taoli@nsf.gov (703) 292-8238
Amy Apon
aapon@nsf.gov (703) 292-7939
Mimi McClure
mmcclure@nsf.gov (703) 292-5197 CISE/CNS
Rajiv Ramnath
rramnath@nsf.gov (703) 292-4776
Aidong Zhang
azhang@nsf.gov (703) 292-5311

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