Programming Models and Runtimes for Heterogeneous Systems

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dc.contributor.advisorSarkar, Vivek
dc.contributor.committeeMemberMellor-Crummey, John
dc.contributor.committeeMemberCox, Alan L.
dc.creatorGrossman, Max
dc.date.accessioned2013-09-16T15:11:00Z
dc.date.accessioned2013-09-16T15:11:01Z
dc.date.available2013-09-16T15:11:00Z
dc.date.available2013-09-16T15:11:01Z
dc.date.created2013-05
dc.date.issued2013-09-16
dc.date.submittedMay 2013
dc.date.updated2013-09-16T15:11:02Z
dc.description.abstractWith the plateauing of processor frequencies and increase in energy consumption in computing, application developers are seeking new sources of performance acceleration. Heterogeneous platforms with multiple processor architectures offer one possible avenue to address these challenges. However, modern heterogeneous programming models tend to be either so low-level as to severely hinder programmer productivity, or so high-level as to limit optimization opportunities. The novel systems presented in this thesis strike a better balance between abstraction and transparency, enabling programmers to be productive and produce high-performance applications on heterogeneous platforms. This thesis starts by summarizing the strengths, weaknesses, and features of existing heterogeneous programming models. It then introduces and evaluates four novel heterogeneous programming models and runtime systems: JCUDA, CnC-CUDA, DyGR, and HadoopCL. We'll conclude by positioning the key contributions of each piece in this thesis relative to the state-of-the-art, and outline possible directions for future work.
dc.format.mimetypeapplication/pdf
dc.identifier.citationGrossman, Max. "Programming Models and Runtimes for Heterogeneous Systems." (2013) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/71959">https://hdl.handle.net/1911/71959</a>.
dc.identifier.slug123456789/ETD-2013-05-567
dc.identifier.urihttps://hdl.handle.net/1911/71959
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectHeterogeneous
dc.subjectGPU
dc.subjectGPGPU
dc.subjectProgramming models
dc.subjectRuntime
dc.subjectMulticore
dc.subjectAbstraction
dc.subjectDistributed
dc.subjectCUDA
dc.subjectOpenCL
dc.subjectHadoop
dc.titleProgramming Models and Runtimes for Heterogeneous Systems
dc.typeThesis
dc.type.materialText
thesis.degree.departmentComputer Science
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
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