Search Results - "Vinter, Brian"

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  1. 1

    A framework for general sparse matrix–matrix multiplication on GPUs and heterogeneous processors by Liu, Weifeng, Vinter, Brian

    “…General sparse matrix–matrix multiplication (SpGEMM) is a fundamental building block for numerous applications such as algebraic multigrid method (AMG),…”
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    Journal Article
  2. 2

    Veros v0.1 – a fast and versatile ocean simulator in pure Python by Hafner, Dion, Jacobsen, Rene Lowe, Eden, Carsten, Kristensen, Mads R. B, Jochum, Markus, Nuterman, Roman, Vinter, Brian

    Published in Geoscientific Model Development (16-08-2018)
    “…A general circulation ocean model is translated from Fortran to Python. Its code structure is optimized to exploit available Python utilities, remove…”
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    Journal Article
  3. 3

    An Efficient GPU General Sparse Matrix-Matrix Multiplication for Irregular Data by Weifeng Liu, Vinter, Brian

    “…General sparse matrix-matrix multiplication (SpGEMM) is a fundamental building block for numerous applications such as algebraic multigrid method, breadth…”
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    Conference Proceeding
  4. 4

    Speculative segmented sum for sparse matrix-vector multiplication on heterogeneous processors by Liu, Weifeng, Vinter, Brian

    Published in Parallel computing (01-11-2015)
    “…•A speculative segmented sum strategy for the CSR-based SpMV.•Utilizing both GPU cores and CPU cores in a heterogeneous processor.•No format conversion or…”
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    Journal Article
  5. 5

    Cloud enabling educational platforms with corc by Munk, Rasmus, Marchant, David, Vinter, Brian

    Published in CTE workshop proceedings (19-03-2021)
    “…In this paper, it is shown how teaching platforms at educational institutions can utilize cloud platforms to scale a particular service, or gain access to…”
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    Journal Article
  6. 6

    Fast synchronization‐free algorithms for parallel sparse triangular solves with multiple right‐hand sides by Liu, Weifeng, Li, Ang, Hogg, Jonathan D., Duff, Iain S., Vinter, Brian

    Published in Concurrency and computation (10-11-2017)
    “…Summary The sparse triangular solve kernels, SpTRSV and SpTRSM, are important building blocks for a number of numerical linear algebra routines. Parallelizing…”
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    Journal Article
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  8. 8

    Segmented Merge: A New Primitive for Parallel Sparse Matrix Computations by Ji, Haonan, Lu, Shibo, Hou, Kaixi, Wang, Hao, Jin, Zhou, Liu, Weifeng, Vinter, Brian

    “…Segmented operations, such as segmented sum, segmented scan and segmented sort, are important building blocks for parallel irregular algorithms. We in this…”
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    Journal Article
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  10. 10

    Direct application access to Grid storage by Andersen, Rasmus, Vinter, Brian

    Published in Concurrency and computation (25-06-2007)
    “…This paper describes the ideas behind and the implementation of a thin user‐level layer to be installed on Grid resources. The layer fits in the minimum…”
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    Journal Article
  11. 11

    Rapid development of scalable scientific software using a process oriented approach by Friborg, Rune Møllegaard, Vinter, Brian

    Published in Journal of computational science (01-08-2011)
    “…► Submission of communicating sequential Python processes to a Grid system. ► Applications using Python and CSP scales on both multi-core and cluster systems…”
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    Journal Article
  12. 12

    SME: A High Productivity FPGA Tool for Software Programmers by Johnsen, Carl-Johannes, Thegler, Alberte, Skovhede, Kenneth, Vinter, Brian

    Published 20-04-2021
    “…For several decades, the CPU has been the standard model to use in the majority of computing. While the CPU does excel in some areas, heterogeneous computing,…”
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    Journal Article
  13. 13

    Binary Index and Journal Embedding in the Linear Tape File System by Jensen, Klaus Birkelund, Vinter, Brian

    “…Since its introduction the Linear Tape File System (LTFS) has made interoperable use of tape between different vendors and storage systems possible. The open…”
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    Conference Proceeding
  14. 14

    Speculative Segmented Sum for Sparse Matrix-Vector Multiplication on Heterogeneous Processors by Liu, Weifeng, Vinter, Brian

    Published 14-09-2015
    “…Sparse matrix-vector multiplication (SpMV) is a central building block for scientific software and graph applications. Recently, heterogeneous processors…”
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    Journal Article
  15. 15

    A Framework for General Sparse Matrix-Matrix Multiplication on GPUs and Heterogeneous Processors by Liu, Weifeng, Vinter, Brian

    Published 13-09-2015
    “…General sparse matrix-matrix multiplication (SpGEMM) is a fundamental building block for numerous applications such as algebraic multigrid method (AMG),…”
    Get full text
    Journal Article
  16. 16

    Exploring and analyzing the real impact of modern on-package memory on HPC scientific kernels by Li, Ang, Liu, Weifeng, Kristensen, Mads R. B., Vinter, Brian, Wang, Hao, Hou, Kaixi, Marquez, Andres, Song, Shuaiwen Leon

    “…High-bandwidth On-Package Memory (OPM) innovates the conventional memory hierarchy by augmenting a new on-package layer between classic on-chip cache and…”
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    Conference Proceeding
  17. 17

    Performance and Portability of the SciBy Virtual Machine by Andersen, R, Vinter, B

    “…The Scientific Bytecode Virtual Machine is a virtual machine designed specifically for performance, security, and portability of scientific applications…”
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    Conference Proceeding
  18. 18

    Experiences with GeneRecon on MiG by Mailund, Thomas, Pedersen, Christian N.S., Bardino, Jonas, Vinter, Brian, Karlsen, Henrik H.

    Published in Future generation computer systems (01-05-2007)
    “…We report on our experiences so far with running a bioinformatics simulation study on a newly developed Grid architecture. We briefly describe the…”
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    Journal Article
  19. 19

    CSR5: An Efficient Storage Format for Cross-Platform Sparse Matrix-Vector Multiplication by Liu, Weifeng, Vinter, Brian

    Published 17-03-2015
    “…Sparse matrix-vector multiplication (SpMV) is a fundamental building block for numerous applications. In this paper, we propose CSR5 (Compressed Sparse Row 5),…”
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    Journal Article
  20. 20

    Managing Event Oriented Workflows by Marchant, David, Munk, Rasmus, Brenne, Elise O., Vinter, Brian

    “…This paper introduces an event-driven solution for modern scientific workflows. This novel approach enables truly dynamic workflows by splitting them into…”
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    Conference Proceeding