add stencil preprint
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content/publication/2020522_pearson_iwapt/index.md
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content/publication/2020522_pearson_iwapt/index.md
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title = "(Preprint) Node-Aware Stencil Communication on Heterogeneous Supercomputers"
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date = 2020-03-09T00:00:00 # Schedule page publish date.
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draft = false
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# Authors. Comma separated list, e.g. `["Bob Smith", "David Jones"]`.
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authors = ["Carl Pearson", "Mert Hidayetoglu", "Mohammad Almasri", "Omer Anjum", "I-Hsin Chung", "Jinjun Xiong", "Wen-Mei Hwu"]
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# Publication type.
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# Legend:
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# 0 = Uncategorized
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# 1 = Conference paper
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# 2 = Journal article
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# 3 = Manuscript
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# 4 = Report
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# 5 = Book
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# 6 = Book section
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publication_types = ["1"]
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# Publication name and optional abbreviated version.
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publication = "2020 IEEE International Workshop on Automatic Performance Tuning"
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publication_short = "In *iWAPT'20*"
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# Abstract and optional shortened version.
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abstract = """
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High-performance distributed computing systems increasingly feature nodes that have multiple CPU sockets and multiple GPUs.
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The communication bandwidth between these components is non-uniform.
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Furthermore, these systems can expose different communication capabilities between these components.
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For communication-heavy applications, optimally using these capabilities is challenging and essential for performance.
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This work presents approaches for automatic data placement and communication implementation for 3D stencil codes on multi-GPU nodes with non-homogeneous communication performance and capabilities.
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Benchmarking results in the Summit system show that choices in placement can result in a 20% improvement in single-node exchange, and communication specialization canyield a further 6x improvement in exchange time in a single node, and a 16% improvement at 1536 GPUs"""
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abstract_short = ""
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# Does this page contain LaTeX math? (true/false)
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math = false
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# Does this page require source code highlighting? (true/false)
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highlight = false
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# Featured image thumbnail (optional)
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image_preview = ""
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# Is this a selected publication? (true/false)
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selected = true
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# Projects (optional).
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# Associate this publication with one or more of your projects.
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# Simply enter your project's folder or file name without extension.
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# E.g. `projects = ["deep-learning"]` references
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# `content/project/deep-learning/index.md`.
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# Otherwise, set `projects = []`.
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projects = ["stencil_library"]
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# Links (optional)
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url_pdf = "pdf/20200522_pearson_iwapt.pdf"
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url_preprint = ""
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url_code = ""
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url_dataset = ""
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url_project = ""
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url_slides = ""
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url_video = ""
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url_poster = ""
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url_source = ""
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# Featured image
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# To use, add an image named `featured.jpg/png` to your page's folder.
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[image]
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# Caption (optional)
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caption = ""
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# Focal point (optional)
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# Options: Smart, Center, TopLeft, Top, TopRight, Left, Right, BottomLeft, Bottom, BottomRight
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focal_point = ""
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static/pdf/20200522_pearson_iwapt.pdf
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static/pdf/20200522_pearson_iwapt.pdf
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