34 lines
1.1 KiB
Markdown
34 lines
1.1 KiB
Markdown
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draft = false
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date = "2017-06-22"
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title = "Comparative Performance Evaluation of Multi-GPU MLFMM Implementation for 2-D VIE Problems"
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authors = ["Carl Pearson", "Mert Hidayetoglu", "Wei Ren", "Weng Cho Chew", "Wen-Mei Hwu"]
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abstract = 'We compare multi-GPU performance of the multilevel
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fast multipole method (MLFMM) on two different systems:
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A shared-memory IBM S822LC workstation with four NVIDIA
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P100 GPUs, and 16 XK nodes (each is employed with a
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single NVIDIA K20X GPU) of the Blue Waters supercomputer.
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MLFMM is implemented for solving scattering problems involving
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two-dimensional inhomogeneous bodies. Results show that the
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multi-GPU implementation provides 794 and 969 times speedups
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on the IBM and Blue Waters systems over their corresponding
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sequential CPU executions, respectively, where the sequential
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execution on the IBM system is 1.17 times faster than on the
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Blue Waters System.'
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image = ""
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image_preview = ""
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math = false
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publication = "*Computing and Electromagnetics International Workshop.* IEEE, 2017."
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url_code = ""
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url_dataset = ""
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url_pdf = "pdf/mlfmm-cem2017.pdf"
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url_project = ""
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url_slides = ""
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url_video = ""
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selected = true
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