Sökning: "computing nature"

Visar resultat 1 - 5 av 84 avhandlingar innehållade orden computing nature.

  1. 1. Scientific Computing on Multicore Architectures

    Författare :Martin Tillenius; Elisabeth Larsson; Sverker Holmgren; Jakub Kurzak; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; multicore; scientific computing; shared memory parallelism; task-based programming; parallel programming model; task scheduling; data versioning; Beräkningsvetenskap; Scientific Computing;

    Sammanfattning : Computer simulations are an indispensable tool for scientists to gain new insights about nature. Simulations of natural phenomena are usually large, and limited by the available computer resources. LÄS MER

  2. 2. Unwrapping Cobol : Lessons in Crisis Computing

    Författare :Linda Hilfling Ritasdatter; Susan Kozel; Maria Hellström Reimer; Florian Cramer; Nishant Shah; Malmö universitet; []
    Nyckelord :Crisis; Execution; Maintenance; Cobol; Automation; Global Flows; Y2K; Human Factor; Outsourcing; Development; Legacy Systems; Programming Languages; History of Computing; HCI; Software Wrapping; Postcolonial Studies; Diffraction; Broken world thinking; Grace Hopper; Media Archaeology; Debugging; Zombie Media; Obsolescence; Technological Development; Unsettling Ontologies; Fourth Industrial Revolution; Artificial Intelligence; Interaktionsdesign; Interaktionsdesign;

    Sammanfattning : By engaging with COBOL, a detested and would-be obsolete programming language, the dark sides of automation are examined in this thesis: hidden workforces and computational infrastructures that are, in reality, central to the execution and maintenance of global economic and informational flows. Frictions within these flows are made more visible in moments of crisis when asymmetrical power structures are surfaced, as demonstrated in an analysis of the infamous Y2K Bug, its connection to the outsourcing boom in India and the legacy of COBOL. LÄS MER

  3. 3. Νοήμονες υπολογιστικές μέθοδοι εμπνευσμένες από τον φυσικό κόσμο για την βελτιστοποίηση συστημάτων : αλγόριθμος βελτιστοποίησης εμπνευσμένης από τον ηχοεντοπισμό

    Författare :Alexandros Tzanetos; Economics and Administration Department of Engineering Polytechnic School; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Nature Inspired Intelligent Algorithms; Nature Inspired Intelligence; Optimization; Νοήμονες Αλγόριθμοι Εμπνευσμένοι από τη Φύση; Νοημοσύνη Εμπνευσμένη από τη Φύση; Βελτιστοποίηση;

    Sammanfattning : Η εποχή που διανύουμε φέρνει στο προσκήνιο την Τεχνητή Νοημοσύνη, καθότι διάφοροι κλάδοι ενσωματώνουν εντυπωσιακές εφαρμογές της. Πολλές αναφορές γίνονται στην 4η Βιομηχανική Επανάσταση, η οποία έχει πλέον την Τεχνητή Νοημοσύνη ως κύριο πυλώνα της. LÄS MER

  4. 4. An Emulation-Based Performance Evaluation Methodology for Edge Computing and Latency Sensitive Applications

    Författare :Manuel Osvaldo Jesús Olguín Muñoz; James Gross; Karl H. Johansson; Yu Xiao; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Cloud Computing; Edge Computing; Performance Evaluation; Latency-sensitive Applications; Distributed Systems; Emulation; Extended Reality; Cyber-Physical Systems; Networked Control Systems; Wearable Cognitive Assistance; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : Cloud Computing, with its globally-accessible nature and virtually unlimited scalability, has revolutionized our daily lives since its widespread adoption in the early 2000s. It allows us to access our documents anywhere, keep in touch with friends, back up photos, and even remotely control our appliances. LÄS MER

  5. 5. Ag2S-Based Flexible Memristors for Neuromorphic Computing

    Författare :Yuan Zhu; Zhen Zhang; Qing Cao; Uppsala universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Ag2S film; flexible memristor; resistance switching; CMOS-compatible integration; neuromorphic computing;

    Sammanfattning : Memristive crossbar arrays hold the great promise for fast and energy efficient neuromorphic computing due to their parallel data storage and processing capabilities. As the key component, memristor should achieve stable resistance switching (RS) characteristics with low energy inputs and be compatible with complementary metal–oxide–semiconductor (CMOS) technology. LÄS MER