SILICON VALLEY 26-29 MAR 2018

Algorithms

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

 
  •  

    Dynamic Dictionary Data Structures for the GPU

    Saman Ashkiani, PhD candidate, University of California, Davis

  •  

    cuShiftOr: String Matching with Prefix Summing on a GPU

    Fumihiko Ino, Associate Professor, Osaka University

  •  

    Fast and Memory-Saving SpGEMM Algorithm for New Pascal Generation GPU

    Yusuke Nagasaka, Student, Tokyo Institute of Technology

  •  

    Fast Join Algorithms on GPUs: Design and Implementation

    Ran Rui, Research Assistant, University of South Florida

  •  

    GPU-Accelerated Self-Calibrating GROG (SC-GROG) Gridding

    Omair Inam, Assistant Professor, COMSATS Institute of Information Technology

  •  

    High-Speed Fluorescence Lifetime Imaging Techniques Based on Artificial Neural Networks

    Gang Wu, Mr, University of Sussex

  •  

    Numerical Error of Spiking Neural Network Simulations on GPUs

    James Turner, PhD student, University of Sussex

  •  

    Shortest Path Calculations for Low-Density High-Diameter Road Network Simulation

    Peter Heywood, PhD Student, The University of Sheffield

  •  

    Simulating the Behavior of the Human Brain on NVIDIA GPUs (Human Brain Project)

    Pedro Valero-Lara, Simulating the Behavior of the Human Brain on NVIDIA GPUs (Human Brain Project), Barcelona Supercomputing Center - GPU Center of Excelence

  •  

    GPU-Accelerated Direct Sparse Matrix Solver for ANSYS Electronics

    David Fernandez Becerra, Research and Development Engineer, ANSYS Inc.

  •  

    A Heterogeneous System Based on Latent Semantic Analysis (hLSA)

    Gabriel León-Paredes, Assistant Professor, Universidad Politécnica Salesiana Sede Cuenca - Ecuador

  •  

    An Optimized Algorithm for Batched Cholesky Factorizations on GPUs

    Ludomir Oteski, Postdoctoral researcher, ONERA

  •  

    Fast yet Inefficient Parallel Huffman Decoding

    Eric McCreath, Senior Lecturer, Australian National University

  •  

    Write Optimized Index Based on Log Structured Merge Trees Implemented on GPU

    Konstantin Kuznetsov, deep learning architect, Entropix

  •  

    The Standard of Compact Descriptors for Visual Search and its GPU Acceleration

    Jie Chen, CEO, BoyunVision (Beijing) Technology Co.,Ltd.

 
 

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.