Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/132114
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dc.titleGPU PERFORMANCE MODELLING AND OPTIMIZATION
dc.contributor.authorLI ANG
dc.date.accessioned2016-11-30T18:00:18Z
dc.date.available2016-11-30T18:00:18Z
dc.date.issued2016-07-11
dc.identifier.citationLI ANG (2016-07-11). GPU PERFORMANCE MODELLING AND OPTIMIZATION. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/132114
dc.description.abstractThe last decade has witnessed the blooming emergence of general-purpose Graphic-Processing-Unit computing (GPGPU). With the exponential growth of cores and threads in a modern GPU processor, how to analyze and optimize its performance becomes a grand challenge. In this thesis, as the modeling part, we propose an analytic model for throughput-oriented parallel processors. The model is visualizable, traceable and portable, while providing a good abstraction for both application designers and hardware architects to understand the performance and motivate potential optimization approaches. As the optimization part, we focus on each crucial component of a GPU streaming-multiprocessor, in particular registers-files, compute-units (SPU, DPU, SFU), caches (L1, L2, read-only, texture, constant) and scratchpad memory alternatively, clarify its underlying performance tradeoffs, and propose effective solutions to handle the tradeoffs in the design space. All the proposed optimization approaches are purely software-based. They are adaptive, transparent, traceable and portable, which leads to achievable and immediate performance gains for various existing GPU devices, especially for GPU integrated high-performance-computers (HPC).
dc.language.isoen
dc.subjectGPU, Performance Modeling, Optimization, Computer Architecture, High Performance Computing, Approximate Computing
dc.typeThesis
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.contributor.supervisorLIM TENG JOON
dc.contributor.supervisorHA YAJUN
dc.contributor.supervisorHENK CORPORAAL
dc.contributor.supervisorAKASH KUMAR
dc.description.degreePh.D
dc.description.degreeconferredNUS-TU/E JOINT PH.D.
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Ph.D Theses (Open)

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