de2eee6096aa07308331 · A Hybrid Task Graph Scheduler for High Performance Image Processing Workflows
A Hybrid Task Graph Scheduler for High Performance Image Processing Workflows
Designing applications for scalability is key to improving their performance in hybrid and cluster computing. Scheduling code to utilize parallelism is difficult, particularly when dealing with data dependencies, memory management, data motion, and
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"title_en": "A Hybrid Task Graph Scheduler for High Performance Image Processing Workflows",
"designation": "",
"series": "",
"status": "",
"date": "2017-06-22",
"date_original": "June 22, 2017",
"url": "https://www.nist.gov/publications/hybrid-task-graph-scheduler-high-performance-image-processing-workflows-0",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Timothy J. Blattner , Walid Keyrouz , Mary C. Brady , Shuvra S. Bhattacharyya, Milton Halem",
"abstract_excerpt_en": "Designing applications for scalability is key to improving their performance in hybrid and cluster computing. Scheduling code to utilize parallelism is difficult, particularly when dealing with data dependencies, memory management, data motion, and",
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{
"title_en": "A Hybrid Task Graph Scheduler for High Performance Image Processing Workflows",
"designation": "",
"series": "",
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"date": "2017-06-22",
"date_original": "June 22, 2017",
"url": "https://www.nist.gov/publications/hybrid-task-graph-scheduler-high-performance-image-processing-workflows-0",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Timothy J. Blattner , Walid Keyrouz , Mary C. Brady , Shuvra S. Bhattacharyya, Milton Halem",
"abstract_excerpt_en": "Designing applications for scalability is key to improving their performance in hybrid and cluster computing. Scheduling code to utilize parallelism is difficult, particularly when dealing with data dependencies, memory management, data motion, and"
}
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