Sökning: "heterogeneous computing"

Visar resultat 1 - 5 av 100 avhandlingar innehållade orden heterogeneous computing.

  1. 1. Space Computing using COTS Heterogeneous Platforms : Intelligent On-Board Data Processing in Space Systems

    Författare :Nandinbaatar Tsog; Mikael Sjödin; Fredrik Bruhn; Moris Behnam; Saad Mubeen; Juha Plosila; Mälardalens högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; space computing; CPU-GPU heterogeneous computing; intelligent on-board data processing; Computer Science; datavetenskap;

    Sammanfattning : Space computing enriches space activities such as deep-space explorations and in-orbit intelligent decision making. The awareness of space computing is growing due to the technological advances of high-performance commercial off-the-shelf (COTS) computing platforms. LÄS MER

  3. 2. Pattern-based Programming Abstractions for Heterogeneous Parallel Computing

    Författare :August Ernstsson; Christoph Kessler; José Daniel García Sánchez; Herbert Kuchen; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; High‐level parallel programming; Algorithmic skeletons; Heterogeneous systems; High‐performance computing;

    Sammanfattning : Contemporary computer architectures utilize wide multi-core processors, accelerators such as GPUs, and clustering of individual computers into complex large-scale systems. These hardware trends are prevalent across computers of all sizes, from the largest supercomputers down to the smallest mobile phones. LÄS MER

  4. 3. Hardware/Software Co-Design of Heterogeneous Manycore Architectures

    Författare :Süleyman Savas; Tomas Nordström; Zain Ul-Abdin; Jari Nurmi; Högskolan i Halmstad; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; hardware software co-design; manycore architectures; heterogeneous manycores; processor design; parallel computing; high performance computing;

    Sammanfattning : In the era of big data, advanced sensing, and artificial intelligence, the required computation power is provided mostly by multicore and manycore architectures. However, the performance demand keeps growing. Thus the computer architectures need to continue evolving and provide higher performance. LÄS MER

  5. 4. Efficient Document Image Binarization using Heterogeneous Computing and Interactive Machine Learning

    Författare :Florian Westphal; Håkan Grahn; Niklas Lavesson; Marcus Liwicki; Blekinge Tekniska Högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; image binarization; heterogeneous computing; recurrent neural networks; interactive machine learning; historical documents;

    Sammanfattning : Large collections of historical document images have been collected by companies and government institutions for decades. More recently, these collections have been made available to a larger public via the Internet. However, to make accessing them truly useful, the contained images need to be made readable and searchable. LÄS MER

  7. 5. Event-Driven Architectures for Heterogeneous Neuromorphic Computing Systems

    Författare :Mattias Nilsson; Fredrik Sandin; Foteini Liwicki; Jerker Delsing; Chiara Bartolozzi; Luleå tekniska universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Neuromorphic computing; Mixed-signal; Low-power; Non-von Neumann; Spatiotemporal pattern recognition; System integration; Cyber-Physical Systems; Cyberfysiska system;

    Sammanfattning : Mixed-signal neuromorphic processors have brain-like organization and device physics optimized for emulation of spiking neural networks (SNNs), and offer an energy-efficient alternative for implementing artificial intelligence in applications where deep learning based on conventional digital computing is unfeasible or unsustainable. However, efficient use of such hardware requires appropriate configuration of its inhomogeneous, analog neurosynaptic circuits, with methods for sparse, spike-timing-based information encoding and processing. LÄS MER