Sökning: "xeon phi"

Hittade 4 uppsatser innehållade orden xeon phi.

  1. 1. Rendering and Image Processing for Micro Lithography on Xeon Phi Knights Landing Processor

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Jun Zhang; [2018]
    Nyckelord :;

    Sammanfattning : The Segment program in Mycronics laser mask writers converts vector graphics into raster image with high computation intensity. IntelR Xeon PhiTM Knights Landing (KNL) is a many-core processor delivering massive thread and data parallelism. LÄS MER

  3. 2. Efficient Implementation of 3D Finite Difference Schemes on Recent Processor Architectures

    Master-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

    Författare :Frederick Ceder; [2015]
    Nyckelord :hpc; high performance computing; intel; haswell; xeon phi; knights corner; burgers equation; finite difference methods; fdm; ftcs; parallel programming; vectorization; simd;

    Sammanfattning : Efficient Implementation of 3D Finite Difference Schemes on Recent Processors Abstract In this paper a solver is introduced that solves a problem set modelled by the Burgers equation using the finite difference method: forward in time and central in space. The solver is parallelized and optimized for Intel Xeon Phi 7120P as well as Intel Xeon E5-2699v3 processors to investigate differences in terms of performance between the two architectures. LÄS MER

  4. 3. Accelerated Deep Learning using Intel Xeon Phi

    Magister-uppsats, Linnéuniversitetet/Institutionen för datavetenskap (DV)

    Författare :André Viebke; [2015]
    Nyckelord :Machine Learning; Deep Learning; Supervised Deep Learning; Intel Xeon Phi; Convolutional Neural Network; CNN; High Performance Computing; CHAOS; parallel computing; coprocessor; MIC; speed up; performance model; evaluation;

    Sammanfattning : Deep learning, a sub-topic of machine learning inspired by biology, have achieved wide attention in the industry and research community recently. State-of-the-art applications in the area of computer vision and speech recognition (among others) are built using deep learning algorithms. LÄS MER

  5. 4. Parallel implementation of the projected Gauss-Seidel method on the Intel Xeon Phi processor – Application to granular matter simulation.

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Emil Rönnbäck; [2014]
    Nyckelord :;

    Sammanfattning : Being able to simulate granular matter is important, because they are ubiquitous both in nature and in industry. Some examples of granular materials are ore, sand, coffee, rice, corn, and snow. Research and development of new, more accurate, and faster methods to simulate even more complex materials with millions of particles are needed. LÄS MER