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    An Ecosystem for Evaluating Domain-Specific System on Chip (DSSoC) Devices: Productive Application Deployment and Scheduling Perspectives

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    azu_etd_21219_sip1_m.pdf
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    Author
    Mack, Joshua
    Issue Date
    2024
    Keywords
    Domain-Specific Architectures
    Runtimes
    Scheduling
    Advisor
    Akoglu, Ali
    
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    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction, presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Abstract
    The continued stagnation of transistor scaling is leading to a resurgence of research into foundational assumptions in computer architecture design, leading to what Hennesey and Patterson term ``a new golden age for computer architecture''. Domain Specific System-on-a-Chip (DSSoC) devices are one promising avenue by which this architectural innovation is manifesting to meet tomorrow's computational demands, but they are burdened by the numerous challenges of building devices that leverage widespread heterogeneity. This dissertation contributes to addressing these challenges through a uniquely holistic view of heterogeneous runtime design with respect to resource management and scheduling, accelerator integration, and compilation frameworks. The presentation opens with a discussion of resource management policies and presents novel approaches towards adapting list scheduling algorithms, commonly applied only within HPC contexts, to SoC scale systems via comprehensive simulation-based studies. Following this, the presentation features a broad overview of the iterative design, development, and evaluation of a novel DSSoC runtime, ``CEDR'' -- an open source, unified compilation and runtime framework for DSSoC architectures that allows applications, scheduling heuristics, and accelerators to be co-designed in a cohesive manner. Taken together, it presents a uniquely holistic perspective on the design of environments for exploring the boundaries of productive application deployment, scheduling algorithm development, and hardware configuration analysis for heterogeneous architectures.
    Type
    Electronic Dissertation
    text
    Degree Name
    Ph.D.
    Degree Level
    doctoral
    Degree Program
    Graduate College
    Electrical & Computer Engineering
    Degree Grantor
    University of Arizona
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