Heterogeneous Computing
Heterogeneous computing is a computing system architecture that integrates multiple processing elements with different types, architectures, and capabilities to collectively execute computational workloads.
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TensorFlow: A system for large-scale machine learning
Martı́n Abadi, Paul Barham, Jianmin Chen et al. · arXiv (Cornell University) · 2016 · 8.8K citations · Full text
TensorFlow: a system for large-scale machine learning
Martı́n Abadi, Paul Barham, Jianmin Chen et al. · Operating Systems Design and Implementation · 2016 · 6.4K citations
Rodinia: A benchmark suite for heterogeneous computing
Shuai Che, Michael Boyer, Jiayuan Meng et al. · 2009 · 3K citations
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Tsinghua University
Beijing, China
46 h-index
330 publications
21.6K citations

Beijing University of Posts and Telecommunications
Beijing, China
41 h-index
329 publications
26.7K citations
Intel (United States)
Santa Clara, United States
41 h-index
216 publications
19.2K citations
Georgia Institute of Technology
Atlanta, United States
38 h-index
255 publications
14.5K citations
University of Illinois Urbana-Champaign
Urbana, United States
37 h-index
274 publications
19.3K citations
Carnegie Mellon University
Pittsburgh, United States
37 h-index
190 publications
13.3K citations

Hunan University
Changsha, China
36 h-index
220 publications
14.4K citations
Purdue University West Lafayette
West Lafayette, United States
35 h-index
163 publications
33.4K citations
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TPDS · 169 publications · 15.3K citations
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88 publications · 7.1K citations
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101 publications · 4.7K citations
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67 publications · 3.7K citations
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FGCS · 56 publications · 2.6K citations
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See also Heterogeneous Computing | |
|---|---|
Programming Models | Openmp Early Music Performance Immune Reconstitution Syndrome |
Architectures | Many-core Architecture Gpu Architecture Reconfigurable Architectures Asic Implementation |
Scheduling | Task Mapping Genetic Algorithms Static Scheduling Dynamic Scheduling Qos-aware Scheduling Task Scheduling Performance Models |
Performance Metrics | |
Application Domains | Cloud Computing Edge Computing Embedded Systems Machine Learning Computer Vision Graph Processing Serverless Computing High-performance Computing Image Processing Large Language Models |