Project Grant 2339310
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program award provides $599,386 to Northeastern University to conduct research on communication-aware algorithms for dynamic allocation of heterogeneous computing resources in distributed infrastructure systems. The key products delivered under this 3-year project grant include: Innovative solutions for scheduling large-scale, precedence-constrained computations such as Artificial Intelligence tasks...
- This National Science Foundation (NSF) Project Grant, awarded under the Computer and Information Science and Engineering (CFDA #47.070) program, supports the development and study of a novel parallel architecture designed to harness irregular parallelism in various applications. The $207,470 award to the University of Maryland, College Park aims to create a hardware system capable of efficiently processing irregular parallel workloads, such as those found in domains like hardware/software...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $600,000 in funding to the University of Hawaii to conduct research on developing parallel, cache-efficient data structures. The key objectives are to: Incorporate fractional cascading techniques into multi-way distribution frameworks to combine parallelism and I/O efficiency. Develop parallel construction of (partially) persistent B-trees...
- This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program provides $250,000 to the College of William and Mary to support research and education activities under the EASER framework from June 2022 through May 2025. The award will fund the development of an integrated paradigm for application execution on heterogeneous high-performance computing clusters. Key products and services include compiler-driven performance prediction models, an...
- This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $564,958 to Carnegie Mellon University from December 1, 2024 to November 30, 2027. The project aims to advance fundamental knowledge and innovate resource allocation algorithms to address the challenges posed by high variability and uncertainty in both demand and service in modern computing systems, especially those supporting machine learning...
- This Project Grant from the National Science Foundation's Office of Advanced Cyberinfrastructure, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), provides $333,684 to the Illinois Institute of Technology for research titled "COLLABORATIVE RESEARCH: OAC CORE: ENABLING EXTREMELY FINE-GRAINED PARALLELISM ON MODERN MANY-CORE ARCHITECTURES." The grant will fund a three-year research collaboration through June 2024 to develop techniques...
- The National Science Foundation Division of Computing and Communication Foundations awarded The Trustees of Columbia University in the City of New York a $600,000 Project Grant under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will support research to develop new algorithms and frameworks for massively parallel computation on modern computing systems. Specifically, the researchers will design efficient algorithms for core computations in...
- This $598,555 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program supports the development of innovative tools and techniques to enhance computer architecture analysis. The project, titled "CAREER: TOWARDS NEXT-GENERATION HUMAN-IN-THE-LOOP AND HUMAN-OVER-THE-LOOP COMPUTER ARCHITECTURE PERFORMANCE ANALYSIS INFRASTRUCTURE", aims to address critical challenges faced by computer architects in identifying...
- This five-year, $550,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop a full-stack computing architecture for sparse computations. The awardee, Carnegie Mellon University, will receive funding from October 2022 through September 2027. Sparse computations process unstructured, irregular data and are common in domains like deep learning, data analytics, and scientific computing. However, current computing systems...
- CAREER: Exploiting Topology in Graph Algorithm Design The University of Illinois received a $196,773 Project Grant award from the National Science Foundation's (NSF) Division of Computing and Communication Foundations under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective October 1, 2025 through November 30, 2026. This CAREER award supports fundamental research in graph algorithms that leverages topological properties to develop faster computational...
CAREER: EFFICIENT ALGORITHMS FOR MODERN COMPUTER ARCHITECTURE -RECENT COMPUTER HARDWARE ADVANCES HAVE BROUGHT PARALLEL PROCESSORS TO THE MAINSTREAM AND PROVIDED THE POTENTIAL FOR HIGHER EFFICIENCY AND PRODUCTIVITY IN COMPUTING. TO ENJOY THE BENEFIT OF MODERN MULTICORE MACHINES, AN ALGORITHM MUST FIT THE DATA AND AUXILIARY SPACE IN MEMORY. ON MODERN HARDWARE, USING TOO MUCH SPACE IN AN ALGORITHM LIMITS THE SOLVABLE PROBLEM SIZE ON A MULTICORE MACHINE AND MAY SLOW DOWN THE PERFORMANCE IN PRACTICE. CONSEQUENTLY, DESIGNING EFFICIENT ALGORITHMS NOWADAYS FACES VERY DIFFERENT CHALLENGES FROM DECADES AGO. THIS CAREER PROJECT FOCUSES ON TWO CRITICAL CHALLENGES IN PARALLEL ALGORITHM DESIGN AND ANALYSIS: SPACE EFFICIENCY AND COMMUNICATION EFFICIENCY. THE PROJECT WILL PROVIDE EFFICIENT COMPUTATIONAL MODELS TO BETTER MEET MULTIOBJECTIVE OPTIMIZATION FORMULATIONS, NEW GRAPH ALGORITHMS AND DATA STRUCTURES WITH IMPROVED THEORETICAL GUARANTEES, AS WELL AS OPEN-SOURCE SOFTWARE FOR THE NEW DATA STRUCTURES AND ALGORITHMS. THIS PROJECT AIMS TO BRIDGE THE GAP BETWEEN THEORY AND PRACTICE, WHICH IS CRUCIAL FOR PROMOTING THE ACCESSIBILITY OF PARALLELISM TO A DIVERSE SET OF PROBLEMS. THE EDUCATIONAL PLAN COMPRISES REDESIGN OF ALGORITHM COURSES TO INCLUDE MEMORY STORAGE CONSIDERATIONS AS WELL AS SUPPORT FOR A CODING CLUB AND CODING COMPETITION DESIGNED TO MAKE COMPUTER SCIENCE MORE ACCESSIBLE, PARTICULARLY TO THE UNDERREPRESENTED STUDENT POPULATION REFLECTED IN THE LOCAL AREA. THIS PROJECT HAS TWO MAJOR THRUSTS. THE FIRST THRUST IS TO STUDY SPACE-EFFICIENT PARALLEL ALGORITHMS. THIS PROJECT WILL FIRST STUDY A SIMPLE YET EFFECTIVE COMPUTATIONAL MODEL FOR MEASURING SPACE USAGE OF A PARALLEL ALGORITHM WITH THE OBJECTIVE OF INVESTIGATING SPACE-EFFICIENT PARALLEL GRAPH ALGORITHMS AND DATA STRUCTURES USING AUXILIARY SPACE SUBLINEAR TO THE INPUT SIZE. THE SECOND THRUST IS TO STUDY ALGORITHM DESIGN ON THE NEW PROCESSING-IN-MEMORY (PIM) SYSTEM, WHICH HAS RECENTLY BEEN DEVELOPED TO REDUCE THE NEED FOR EXPENSIVE DATA TRANSFERS BETWEEN CPU AND MEMORY. THE ALGORITHMIC CHALLENGE HERE IS THAT THE PIM SYSTEM IS A COMBINATION OF SHARED MEMORY AND DISTRIBUTED MEMORY, SO EFFICIENT ALGORITHMS ON PIM MUST UTILIZE ADVANTAGES OF EACH. THIS PROJECT WILL STUDY ALGORITHMS AND DATA STRUCTURES THAT ARE EFFICIENT ON THE PIM ARCHITECTURE. THE EXPECTED OUTCOME OF THIS PROJECT WILL BE ALGORITHMS WITH STRONG THEORETICAL GUARANTEES AND GOOD PRACTICAL PERFORMANCE, AND GENERAL LESSONS IN DESIGNING AND PERFORMANCE ENGINEERING EFFICIENT ALGORITHMS ON MODERN COMPUTER ARCHITECTURES. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE NOT PLANNED FOR THIS AWARD.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $278.9k | 8/24/25 | ||
| Not listed | $194.8k | 2/28/24 |