This $299,687 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) will support the development of scalable and extensible I/O runtime and tools for next generation adaptive data layouts at Utah State University from July 2022 through June 2025. Specifically, the university will create a parallel I/O runtime to support progressive read/write operations using hierarchical, compressed, and tunable adaptive data layouts suitable...
This $500,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of scalable software to realize "data polymorphism" - a novel paradigm that enables fast and adaptable scientific data retrieval with tailored error control. The key products and services to be delivered include: A generic framework to abstract the generation of progressive data representations, allowing for...
This Project Grant award, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports the development of a unified framework to reduce data movement overheads in heterogeneous high-performance computing (HPC) systems. The $300,000 award to the University of Utah will integrate three core components: a cross-layer monitoring and learning framework to characterize data transfer patterns and predict contention; a...
The National Science Foundation (NSF) awarded a $295,548 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Illinois. The award will support the development of an "Intelligent Management of Hybrid Workloads for Extreme Scale Computing" framework. Key research activities include modeling the performance implications of diverse workloads on supercomputers, creating new intelligent multi-resource scheduling methods, and...
This Project Grant award of $479,358 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a virtual computational storage system, called μ-HDF5, to accelerate data-driven scientific applications on supercomputers. The key objectives of the project are to: 1) develop an HDF5-compatible interface with support for a variety of computer kernels, 2) identify, dispatch, and execute compute kernels on faster devices...
This Project Grant award for $174,925, provided by the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering), supports the development of novel data transfer optimization techniques for high-performance computing applications. The key project objectives are to: (i) implement a robust monitoring framework to enhance system visibility and enable global optimization and fair resource allocation; (ii) develop a simulator that replicates complex storage and...
This $725,140 Project Grant award was provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) to the University of Illinois. The goal of the project is to develop NBFLOW, a software toolkit that can convert computational notebook computations into workflows that can efficiently execute on high-performance computing clusters or cloud infrastructure. This will enable the use of notebook technologies in...
This federal Project Grant award of $341,502 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the "COLLABORATIVE RESEARCH: CSR: MEDIUM: DISCO: DISCIPLINED DATA SCIENCE FRAMEWORK FOR STORAGE I/O MANAGEMENT" project at the University of Chicago. The project aims to develop a comprehensive data science pipeline to enhance storage input/output (I/O) decision-making processes, targeting both classical...
This Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) provides $540,000 to The Pennsylvania State University to develop a scalable, automated software infrastructure for computational storage devices (CSDs) used in high-performance computing (HPC) systems. The project aims to create compiler-directed optimizations, a runtime system, and simulation tools to enable more intelligent orchestration of heterogeneous...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program provides $299,921 to Rutgers, The State University to develop a unified framework for reducing data movement overheads in heterogeneous high-performance computing (HPC) systems. The project integrates three core components: a cross-layer monitoring and learning framework to characterize data transfer patterns and predict contention, a heterogeneity-aware data...