How can we achieve high‑performance parallelization of irregular algorithms with task/data dependencies in CPU/GPU systems?
Bahareh Goodarzi
More Info- distributed/parallel systems25
- heterogeneous computing2
- irregular algorithms
- algorithm design31
- graph algorithms3
- task dependent computation
- high performance computing6
- thread divergence
- GPU memory constraints
- multilevel graph partitioning
- warp segmentation
- complex software systems10
- programming languages6
- use of technology in teaching2
- GPU computing3
- classroom response systems3
- educational technologies35
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Abdelwahab Hamou-Lhadj
empirical software engineering, complex software systems, software maintenance
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Dhrubajyoti Goswami
high performance computing, parallel architectural skeletons, distributed/parallel systems
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Farrah Fayyaz
engineering education, educational psychology, STEM education
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Nancy Acemian
use of technology in teaching, first year experience, introductory computer programming
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Lata Narayanan
networks, algorithm design, robotics
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Attila Michael Zsaki
geotechnical engineering, rock mechanics, soil mechanics
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Brian Vermeire
computational aerodynamics, future aircraft, computational fluid dynamics
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Essam Mansour
distributed/parallel systems, web data management, large-scale analytics on strings
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Meral Demirbag Büyükkurt
information system analysis, experiential learning, team building
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Yan Liu
big data, distributed/parallel systems, deep learning
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Tristan Glatard
big data, data analytics, distributed/parallel systems
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Diego Elias Damasceno Costa
software engineering, empirical software engineering, mining software repositories
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Jia Yuan Yu
data science, decision theory, machine learning
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Volker Haarslev
knowledge organization, artificial intelligence (AI), natural language processing (NLP)
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Jamal Bentahar
software agents, multi-agent systems, formal logic
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Chun Wang
distributed/parallel systems, e-supply chains, scheduling
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Denis Pankratov
theoretical computer science, algorithm design, analysis of algorithms
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Gregory Butler
bioinformatics, big data, data analytics
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Joey Paquet
programming languages, history of programming languages, language design