Kyle C. Hale
Kyle C. Hale
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Funding
Collaborative Research: CSR: Medium: Towards A Unified Memory-centric Computing System with Cross-layer Support
NSF Award CNS-2310422; $886,226 ($1M collaborative total); October 2023 through September 2026. This project is a collaborative effort with Rujia Wang and Xian-He Sun at IIT and Peng Jiang at the University of Iowa.
Rujia Wang
,
Xian-He Sun
,
Kyle C. Hale
,
Peng Jiang
Last updated on Aug 9, 2023
CAREER: Colony: A Framework for Bespoke Virtual Execution Contexts
CNS Award CNS-2239757; $632,214; May 2023 through April 2028. Vulnerabilities present in software running on shared computing infrastructure (e.g., cloud datacenters) can result in significant economic losses, compromised user data, and weakened national security when such infrastructure does not properly separate programs from one another in secure, isolated compartments.
Kyle C. Hale
Last updated on Apr 28, 2023
REU Site: Collaborative Research: BigDataX: From theory to practice in Big Data computing at eXtreme scales
NSF Award OAC-2150500; $362,878 (Collaborative Total: $400K); July 2022 through June 2025. This project is in collaboration with Ioan Raicu at IIT as well as Kyle Chard at the University of Chicago.
Kyle C. Hale
,
Ioan Raicu
,
Kyle Chard
Last updated on Feb 21, 2024
Collaborative Research: PPoSS: Planning: Towards an Integrated, Full-stack System for Memory-centric Computing
NSF Award CCF-2029014; $185,473 (Collaborative total: $250K); January 2021 through December 2021. This project is a collaborative effort with Rujia Wang and Xian-He Sun at IIT and Peng Jiang at the University of Iowa.
Rujia Wang
,
Kyle C. Hale
,
Xian-He Sun
,
Peng Jiang
Last updated on Mar 4, 2023
Collaborative Research: PPoSS: Planning: Unifying Software and Hardware to Achieve Performant and Scalable Zero-cost Parallelism in the Heterogeneous Future
NSF Award CCF-2028958; $41,627 (Collaborative total: $250K); October 2020 through September 2021. This project is a collaborative effort with Peter Dinda, Simone Campanoni, and Nikos Hardavellas at Northwestern University, and Umut acar at Carnegie Mellon University.
Kyle C. Hale
,
Peter Dinda
,
Simone Campanoni
,
Nikos Hardavellas
,
Umut Acar
Last updated on Feb 21, 2024
CSR: Medium: Collaborative Research: Interweaving the Parallel Software/Hardware Stack
NSF Award CNS-1763612; $305,578 (Collaborative total: $1.2M); September 2018 through August 2021. This project is a collaborative effort with Peter Dinda, Simone Campanoni, and Nikos Hardavellas at Northwestern University. This project seeks to advance the state of the art of parallel systems.
Kyle C. Hale
,
Peter Dinda
,
Simone Campanoni
,
Nikos Hardavellas
Last updated on Mar 4, 2023
REU Site: Collaborative Research: BigDataX: From theory to practice in Big Data computing at eXtreme scales
NSF Award CCF-1757964; $333,106 (Collaborative Total: $368K); February 2018 through January 2021. This project is in collaboration with Ioan Raicu at IIT as well as Kyle Chard and Aaron Elmore at the University of Chicago.
Kyle C. Hale
,
Ioan Raicu
,
Kyle Chard
,
Aaron Elmore
Last updated on Feb 21, 2024
CSR: Small: Collaborative Research: Flexible Resource Management and Coordination Schemes for Lightweight, Rapidly Deployable OS/Rs
CNS Award CNS-1718252; $249,771 (Collaborative total: $499,735); August 2017 through July 2020. This project is a collaborative effort with Jack Lange at the University of Pittsburgh. Current cloud systems leverage either heavy-weight virtualization (running applications inside full-fledged virtual machines (VMs) with their own operating systems) or containers (light-weight software environments that share a single underlying operating system).
Kyle C. Hale
,
Jack Lange
Last updated on Mar 4, 2023
CRI: II-NEW: MYSTIC: Programmable Systems Research Testbed to Explore a Stack-WIde Adaptive System fabriC
NSF Award CNS-1730689; $1,000,000; July 2017 through June 2020. This project is a collaborative effort with Ioan Raicu and Xian-He Sun at IIT. This project will build a testbed for experimenting with reconfigurable communication and Input/Output subsystems to conduct low-level systems research.
Kyle C. Hale
,
Ioan Raicu
,
Xianhe Sun
Last updated on Mar 4, 2023
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