Home > Resources: GTC 2015 Posters > Developer Performance Optimization Posters

Developer Performance Optimization

Check out this collection of research and science posters to find out how others maximizing performance optimization accelerate their codes on GPUs.


    GPU K20 Acceleration of Tests for Asymmetric Functions

    Dan Zulaica Research Associate, Naval Postgraduate School


    Designing Code Variants for Applications with Nested Parallelism on GPUs

    Da Li Research Assistant, University of Missouri - Columbia


    Real-Time Imaging of the Ultra-Wideband (UWB) Synchronous Impulse Reconstruction (SIRE) Radar

    David Greene Electrical/Computer Engineer, Howard University


    LRnLA Model of Computation for Heterogeneous Calculations

    Ivan Goryachev Junior Researcher, Keldysh Institute of Applied Mathematics


    The Development of Basic Kernels for the New Block AMG Algorithms

    Ilya Afanasyev student, Moscow State University


    Towards a Real GPU-Speedup in SQL Query Processing with a New Heterogeneous Execution Framework

    Eyal Rozenberg Research Engineer, Huawei Research


    High-Performance GEMV and SYMV with Auto-Tuning for Performance Stabilization on Multiple GPU Generations

    Daichi Mukunoki Postdoctoral Researcher, RIKEN Advanced Institute of Computational Sciences


    Accelerating Cholesky-Based Dense Matix Inversion on GPUs

    Ali Charara PhD Student, King Abdullah University of Science and Technology



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