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NSF

CAREER: StreamZ: An Adaptive and Scalable Lossy Compression Framework for Extreme-Scale Scientific Data Streaming Pipelines

CAREER: StreamZ: An Adaptive and Scalable Lossy Compression Framework for Extreme-Scale Scientific Data Streaming Pipelines is a funding opportunity from NSF, closing July 31, 2031.

Funder
NSF
Funding
Grant / contract
Deadline
Jul 31, 2031
(1827d left)

Overview

The overarching goal of this CAREER project is to design and develop a highly efficient and scalable lossy compression framework for extreme-scale scientific data streaming pipelines, addressing the growing data challenges in advanced cyberinfrastructure (CI). Scientific applications increasingly push the boundaries…

CAREER: StreamZ: An Adaptive and Scalable Lossy Compression Framework for Extreme-Scale Scientific Data Streaming Pipelines | Go Fund It Now