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dc.contributor.advisor Sarkar, Vivek
dc.creatorGrossman, Max
dc.date.accessioned 2013-09-16T15:11:00Z
dc.date.accessioned 2013-09-16T15:11:01Z
dc.date.available 2013-09-16T15:11:00Z
dc.date.available 2013-09-16T15:11:01Z
dc.date.created 2013-05
dc.date.issued 2013-09-16
dc.date.submitted May 2013
dc.identifier.urihttp://hdl.handle.net/1911/71959
dc.description.abstract With 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.mimetype application/pdf
dc.language.iso eng
dc.subjectHeterogeneous
GPU
GPGPU
Programming models
Runtime
Multicore
Abstraction
Distributed
CUDA
OpenCL
Hadoop
dc.title Programming Models and Runtimes for Heterogeneous Systems
dc.contributor.committeeMember Mellor-Crummey, John
dc.contributor.committeeMember Cox, Alan L.
dc.date.updated 2013-09-16T15:11:02Z
dc.identifier.slug 123456789/ETD-2013-05-567
dc.type.genre Thesis
dc.type.material Text
thesis.degree.department Computer Science
thesis.degree.discipline Engineering
thesis.degree.grantor Rice University
thesis.degree.level Masters
thesis.degree.name Master of Science


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