The National Science Foundation (NSF) awarded a $496,390 project grant under the Computer and Information Science and Engineering (CISE) program to the Illinois Institute of Technology (IIT) to develop a unified memory-centric computing system with cross-layer support. The 3-year project aims to enable next-generation data-centric applications, from scientific simulation to machine learning and data mining algorithms, by overcoming performance bottlenecks through memory-centric computing...
The Illinois Institute of Technology (IIT) received a $2,676,450 project grant award from the National Science Foundation Office of Advanced Cyberinfrastructure to support the "FRAMEWORKS: COLLABORATIVE RESEARCH: CHRONOLOG: A HIGH-PERFORMANCE STORAGE INFRASTRUCTURE FOR ACTIVITY AND LOG WORKLOADS" research effort. The award, made on June 1, 2021 under the Computer and Information Science and Engineering program (CFDA #47.070), will fund the development of a high-performance storage...
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 of $289,136.00 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a scalable and extensible I/O runtime and tools for next-generation adaptive data layouts. The research aims to create a comprehensive data management solution that can address the data movement challenges posed by exascale computing. Key deliverables include: A scalable and tunable parallel I/O runtime that enables...
This $133,980 federal Project Grant award, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports research to develop an automated, machine learning-based middleware for optimizing the performance of heterogeneous high-performance computing (HPC) storage systems. The key objectives are to: 1) leverage reinforcement learning methods to intelligently place data and coordinate I/O requests across tiered HPC storage...
The National Science Foundation (NSF) is providing a $269,263 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Illinois. The grant, titled "DATACENTER-AWARE LOCAL STORAGE STACKS," aims to design and develop local storage stacks specifically tailored for datacenters to enhance performance, optimize resource utilization, and contribute to sustainability goals. The project will utilize the inherent redundancy of datacenter...
The National Science Foundation (NSF) awarded a $273,001 federal Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Illinois to develop novel fault-tolerance protocols and storage abstractions for improving the performance of fault-tolerant storage systems. The 5-year project aims to enable the construction of reliable and high-performing storage systems that can support critical applications in modern datacenters without...
This Federal Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will fund the development of a high-capacity active data archive system called "Granite" at the University of Illinois Urbana-Champaign. The $500,000 award, effective April 1, 2024 through March 31, 2026, will support the deployment of a 36PB tape-based data storage subsystem accessible via multiple high-speed...
This Project Grant award of $299,999 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development and optimization of a log-structured-merge tree-based key-value store system called Decoupled-LSM. The project aims to redesign the architecture of this critical data storage system to improve performance, resource utilization, and manageability within disaggregated computing infrastructures, which are...
This National Science Foundation Project Grant of $600,000 supports research to improve the performance of database management systems that use log structured merge tree storage technology. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), the award will support development of novel data organization and flow patterns within log structured merge tree storage to boost read and write capabilities. Key activities include designing algorithms to store...
This Project Grant award from the National Science Foundation (NSF) Office of Advanced Cyberinfrastructure, under the NSF Computer and Information Science and Engineering (CFDA 47.070) program, aims to develop a new data representation and storage system called LABIOS to address the challenges of storing and accessing massive and complex data sets in data-intensive computing.
The $599,999 award to the Illinois Institute of Technology (IIT) will fund research to design and implement LABIOS, a distributed storage system that executes asynchronous data operations independently on tiered storage hardware. The project will investigate how LABIOS can provide active storage semantics, software-defined storage, and in-situ/in-transit analytics to improve I/O efficiency and effectiveness for scientific computing, deep learning, microservices, and other data-intensive applications. The research will also analyze the implications of this new I/O paradigm for the existing high-performance computing ecosystem.