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Developer Algorithms

Check out this collection of research and science posters to see how others are optimizing programming algorithms to accelerate their codes on GPUs.

 
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    Implementation of Nearest Neighbor Search on GPGPU Systems

    Akiyoshi Wakatani Professor, Konan University

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    Modified Implicit Bernstein Form and its GPU Parallelization for Computing the Bernstein Coefficients of a Polynomial

    Nataraj paluri professor, Indian Institute of technology, Bombay, India

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    Accelerating the Dense Singular Value Decomposition Using High Performance Polar Decomposition Implementation

    Dalal Sukkari PhD student, KAUST

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    LRnLA Model of Computation for Heterogeneous Calculations

    Ivan Goryachev Junior Researcher, Keldysh Institute of Applied Mathematics

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    MDACCER: A Local Strategy for Assessment of Complex Networks on GPU

    Carla Osthoff LNCC High Performance Computing Center Coordinator, National Laboratory for Scientific Computing (LNCC)

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    CUDA Implementation of RSHA-1 and Code Optimization

    Dr. Bhanu Kapoor Owner/Consultor, Mimasic, Dallas, TX USA

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    Implementation and Evaluation of DWT on Contemporary NVIDIA GPUs and x86 CPUs

    Vasilis Dimitsas PhD candidate, University of Athens

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    Finding Vertex Cover: Acceleration via CUDA

    Yang Liu Senior Lead IT Consultant, Texas A&M University

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    A Multi-GPU Based Approach to the 0/1 Knapsack Problem Using the Discrete Shuffled Frog Leaping Algorithm

    Rahul Chandrashekhar Student, Trinity College, Hartford, CT

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    Towards Realizing Topology Mutation for Iterative Graph Processing on a GPU

    Yasuaki Mitani Student, Osaka University

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    Faster Compressed Sparse Row (CSR)-based Sparse Matrix-Vector Multiplication Using CUDA

    Jorge González-Domínguez Postdoc, University of Mainz (Germany)

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    Using GPU as Hardware Random Number Generator

    Yongjin Yeom Professor, Kookmin University

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    A Framework for Accelerating Cryptographic SAT Solver with CUDA

    Taeill Yoo Graduate Student, Kookmin University

 
 

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