SILICON VALLEY 26-29 MAR 2018
Home > Resources: GTC 2017 Posters > Performance Optimization

Performance Optimization

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

 
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    A GPGPU-Based Framework for Efficient 2-body Statistics Computation

    Napath Pitaksirianan, Research Assistant, University of South Florida

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    Accelerating Binary Matrix-Vector Multiplications for Post-Processing of Quantum Random Number Generator

    Minyoung Bae, Student, Kookmin University, Republic of Korea

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    Batched Triangular DLA for Very Small Matrices on GPUs

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

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    Keep On Rolling - Pushing the Hardware Limits with a Rotation-Based FMM

    Ivo Kabadshow, Scientist, Juelich Supercomputing Centre

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    Parallelizing NIST's Entropy Sources Evaluation SP 800-90B with CUDA

    Yewon Kim, Student, Kookmin University

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    Break it Up. Finding the Perfect Balance by Pruning High-Order Stencils

    Johannes Pekkilä, M.Sc. Student, Research Assistant, ReSoLVE Centre of Excellence, Aalto University School of Science

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    Optimizing Vector Reduction on GPUs

    Ludomir Oteski, Postdoctoral researcher, ONERA

 
 

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