Search Results - "Seunghwa Kang"

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  1. 1

    Computing discrete transforms on the Cell Broadband Engine by Bader, David A., Agarwal, Virat, Kang, Seunghwa

    Published in Parallel computing (01-03-2009)
    “…Discrete transforms are of primary importance and fundamental kernels in many computationally intensive scientific applications. In this paper, we investigate…”
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    Journal Article
  2. 2

    Rec-DCM-Eigen: reconstructing a less parsimonious but more accurate tree in shorter time by Kang, Seunghwa, Tang, Jijun, Schaeffer, Stephen W, Bader, David A

    Published in PloS one (24-08-2011)
    “…Maximum parsimony (MP) methods aim to reconstruct the phylogeny of extant species by finding the most parsimonious evolutionary scenario using the species'…”
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    Journal Article
  3. 3

    Optimizing JPEG2000 Still Image Encoding on the Cell Broadband Engine by Seunghwa Kang, Bader, D.A.

    “…JPEG2000 is the latest still image coding standard from the JPEG committee, which adopts new algorithms such as embedded block coding with optimized truncation…”
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    Conference Proceeding
  4. 4

    Biocellion: accelerating computer simulation of multicellular biological system models by Kang, Seunghwa, Kahan, Simon, McDermott, Jason, Flann, Nicholas, Shmulevich, Ilya

    Published in Bioinformatics (Oxford, England) (01-11-2014)
    “…Biological system behaviors are often the outcome of complex interactions among a large number of cells and their biotic and abiotic environment. Computational…”
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    Journal Article
  5. 5

    Simulating microbial community patterning using Biocellion by Kang, Seunghwa, Kahan, Simon, Momeni, Babak

    “…Mathematical modeling and computer simulation are important tools for understanding complex interactions between cells and their biotic and abiotic…”
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    Journal Article
  6. 6

    Large scale complex network analysis using the hybrid combination of a MapReduce cluster and a highly multithreaded system by Seunghwa Kang, Bader, David A

    “…Complex networks capture interactions among entities in various application areas in a graph representation. Analyzing large scale complex networks often…”
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    Conference Proceeding
  7. 7

    Algorithm and Architecture Independent Benchmarking with SEAK by Tallent, Nathan R., Manzano, Joseph B., Gawande, Nitin A., Seunghwa Kang, Kerbyson, Darren J., Hoisie, Adolfy, Cross, Joseph K.

    “…Many applications of high performance embedded computing are constrained by performance or power bottlenecks. We designed a new benchmark suite, the Suite for…”
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    Conference Proceeding
  8. 8

    Understanding the design trade-offs among current multicore systems for numerical computations by Seunghwa Kang, Bader, D.A., Vuduc, R.

    “…In this paper, we empirically evaluate fundamental design trade-offs among the most recent multicore processors and accelerator technologies. Our primary aim…”
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    Conference Proceeding
  9. 9

    High performance combinatorial algorithm design on the Cell Broadband Engine processor by Bader, David A., Agarwal, Virat, Madduri, Kamesh, Kang, Seunghwa

    Published in Parallel computing (01-11-2007)
    “…The Sony–Toshiba–IBM Cell Broadband Engine (Cell/B.E.) is a heterogeneous multicore architecture that consists of a traditional microprocessor (PPE) with eight…”
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    Journal Article
  10. 10

    Analyzing Multi-trillion Edge Graphs on Large GPU Clusters: A Case Study with PageRank by Kang, Seunghwa, Nke, Joseph, Rees, Brad

    “…We previously reported PageRank performance results on a cluster with 32 A100 GPUs [7]. This paper extends the previous work to 2048 GPUs. The previous…”
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    Conference Proceeding
  11. 11

    cuGraph C++ primitives: vertex/edge-centric building blocks for parallel graph computing by Kang, Seunghwa, Hastings, Chuck, Eaton, Joe, Rees, Brad

    “…Software development of high-performance graph algorithms is difficult on modern parallel computers. To simplify this task, we have designed and implemented a…”
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    Conference Proceeding
  12. 12

    On the design of architecture-aware algorithms for emerging applications by Kang, Seunghwa

    Published 01-01-2011
    “…This dissertation maps various kernels and applications to a spectrum of programming models and architectures and also presents architecture-aware algorithms…”
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    Dissertation
  13. 13

    Computing PageRank Scores of Web Crawl Data Using DGX A100 Clusters by Kang, Seunghwa, Fender, Alex, Eaton, Joe, Rees, Brad

    “…PageRank is a widely used graph analytics algorithm to rank vertices using relationship data. Large-scale Page Rank is challenging due to its irregular and…”
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    Conference Proceeding
  14. 14

    On the design of architecture-aware algorithms for emerging applications by Kang, Seunghwa

    “…This dissertation maps various kernels and applications to a spectrum of programming models and architectures and also presents architecture-aware algorithms…”
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    Dissertation