Sökning: "parallel computer architectures"

Visar resultat 1 - 5 av 77 avhandlingar innehållade orden parallel computer architectures.

  1. 1. Automated CNN pipeline generation for heterogeneous architectures

    Författare :Pirah Noor Soomro; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Online tuning; CNN parallel pipelines; Heterogeneous computing units; Processing on chiplets; Design space exploration;

    Sammanfattning : Heterogeneity is a vital feature in emerging processor chip designing. Asymmetric multicore-clusters such as high-performance cluster and power efficient cluster are common in modern edge devices. One example is Intel's Alder Lake featuring Golden Cove high-performance cores and Gracemont power-efficient cores. LÄS MER

  2. 2. Parallel computer architectures using optical interconnects

    Författare :Håkan Forsberg; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; hypercube topology; parallel computer architectures; embedded signal processing; optical properties; optical interconnects; free-space;

    Sammanfattning : .... LÄS MER

  3. 3. Direct Numerical Simulation of Turbulence on Heterogenous Computer Systems : Architectures, Algorithms, and Applications

    Författare :Martin Karp; Stefano Markidis; Niclas Jansson; Philipp Schlatter; William Gropp; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; High Performance Computing; Turbulence; Computational Fluid Dynamics; Heterogenous Computer Architectures; Högprestandaberäkningar; Turbulens; Numerisk Strömingsmekanik; Heterogena Datorarkitekturer; Datalogi; Computer Science;

    Sammanfattning : Direct numerical simulations (DNS) of turbulence have a virtually unbounded need for computing power. To carry out these simulations, software, computer architectures, and algorithms must operate as efficiently as possible to amortize the large computational cost. LÄS MER

  4. 4. Clustering in the Big Data Era: methods for efficient approximation, distribution, and parallelization

    Författare :Amir Keramatian; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Clustering; Approximation-based synopsis; Distributed and Parallel Processing; Applied ML;

    Sammanfattning : Data clustering is an unsupervised machine learning task whose objective is to group together similar items. As a versatile data mining tool, data clustering has numerous applications, such as object detection and localization using data from 3D laser-based sensors, finding popular routes using geolocation data, and finding similar patterns of electricity consumption using smart meters. LÄS MER

  5. 5. Efficient parallell architectures for future radar signal processing

    Författare :Anders Åhlander; John L. Gustafson; Högskolan i Halmstad; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Computer architecture; radar signal processing; space-time adaptive processing; synthetic aperture radar; parallel processing; engineering efficiency; Computer science; Datalogi;

    Sammanfattning : The processing demands on future embedded radar signal processors may stretch to several trillions of floating-point operations per second (TFLOPS). This is an increase of two to three orders of magnitude realtive to the requirements of today. Still, the tight size and power constraints are unchanged. LÄS MER