• Nicholas Edmonds
    Graduate Student


    Nicholas Edmunds

    Graduate Student

    Educational Background

    • M.S., Expected December 2012, Computer Science, Indiana University
    • B.S., 2003, Computer Science and Mathematics, Vanderbilt University

    Research Interests

    • HPC
    • Big Data problems that span parallel programming
    • Computer architecture
    • Programming languages

    Recent Research Projects

    • Version 2.0 of the Parallel Boost Graph Library running on AM++.  PBGL 2.0 is a message-driven, hybrid-parallel rewrite of the original Parallel Boost Graph Library which I helped release via Boost in 2009.  PBGL 2.0 leverages both coarse-grained process-level parallelism and fine-grained thread parallelism, with the potential for extension to various types of accelerators.  
    • Active Pebbles, a programming and execution model for data-driven applications. Collaborative digital art

    Recent Publications