SILICON VALLEY 8-11 MAY 2017

Algorithms

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

 
  •  

    A Highly Parallel Implementation of the Faddeev-Leverrier Algorithm

    Rahul Chandrashekhar, Student, Trinity College, Hartford - CT

  •  

    A Parallel Floyd-Warshall Algorithm on GPU

    Roussian Gaioso, Ph.D. Student, Universidade Federal de São Carlos

  •  

    A Rasterization Based Line Segment Intersection Algorithm for Urban Mobility Simulations

    Benjamin Hernandez, Computer Scientist, Oak Ridge National Laboratory

  •  

    ABCD Algorithm for Tridiagonal Solver

    Erh-Chung Chen, MSc Student, National Tsing Hua University

  •  

    CUDA Accelerated Cross Validated Best Subset Selection with XLSTAT

    Arnaud Belletoile, Statistical Programmer, Addinsoft

  •  

    cusFFT: A High-Performance Sparse Fast Fourier Transform Algorithm on GPUs

    Cheng Wang, Research Assistant, University of Houston

  •  

    Evolutionary Methodology Framework for GPUs

    Mihály Retek, PhD student, Corvinus University of Budapest

  •  

    Fast Parallel Bulk Insertion in GPU MOLAP Databases

    Steffen Wittmer, Senior Software Developer (Jedox GPU), Jedox AG

  •  

    Fast Sparse Matrix Vector Multiplication with Highly-Compressed Sparse Format

    Yusuke Nagasaka, Student, Tokyo Institute of Technology

  •  

    Fourier Domain Pulsar Acceleration Searches on GPUs for the Square Kilometre Array.

    Sofia Dimoudi, Research Associate, University of Oxford

  •  

    Fully Parallelized Lossless LZW Decompression for CUDA® Enabled GPUs

    Koji Nakano, Professor, Hiroshima University

  •  

    GPU Parallelization of a Distance Field Solver

    Anup Shrestha, Graduate Research Assistant, Boise State University

  •  

    GPU-Accelerated Batch-ACPF Solution for N-1 Static Security Analysis

    Gan Zhou, Associate Professor, Southeast University

  •  

    GPU-Accelerated Isosurface Extraction

    Michal Kierzynka, Researcher, Poznan Supercomputing and Networking Center

  •  

    GPU-Accelerated Molecular Dynamics Simulations for Systems with Lennard-Jones Type Potential

    Jose Maria, Developer, Lufac Computación S.A. de C.V.

  •  

    GPU-Accelerated Neighborhood Operators for Permutation-Based Problems

    Victor Machado, Student, Fluminense Federal University

  •  

    High Performance Hierarchical Matrix-Vector Multiplication using Hardware Accelerators

    Hatem Ltaief, Senior Research Scientist, KAUST

  •  

    Non-Local Lattice Encoding for Bit-Vectorized Cellular Automata GPU Implementations

    Jeffrey Kelling, Helmholtz-Zentrum Dresden-Rossendorf

  •  

    One Kernel To Rule Them All. Performance-Portable FMM for CPUs and GPUs

    Ivo Kabadshow, Scientist, Juelich Supercomputing Centre

  •  

    Parallelization of Graph Algorithms on GPU Using CUDA®

    Chetan Pise, Assistant Professor, Yeshwantrao Chavan College of Engineering Nagpur, India

  •  

    Radar Signal Processing on GPU's and Performance Comparison with Vector Processors

    Peter Joseph Basil Morris, Researcher, DRDO

 
 

CONNECT WITH US

Presented by NVIDIA, GTC is comprised of the annual conference, year-long webinar series, and workshops that connect the global community of developers, researchers, and scientists through unique educational and networking opportunities.