Sökning: "Arithmetic Computation"

Visar resultat 1 - 5 av 13 uppsatser innehållade orden Arithmetic Computation.

  1. 1. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network

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

    Författare :Jiayi Feng; [2023]
    Nyckelord :DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Embedded Systems; DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Inbyggda system;

    Sammanfattning : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. LÄS MER

  3. 2. Leveraging Posits for the Conjugate Gradient Linear Solver on an Application-Level RISC-V Core

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

    Författare :David Mallasén Quintana; [2022]
    Nyckelord :Computer Arithmetic; Conjugate Gradient; Posit; IEEE-754; Floating Point; High-Performance Computing; RISC-V; Datoraritmetik; Konjugerad Gradient; Posit; IEEE-754; Flytande Punkt; Högpresterande Beräkningar; RISC-V;

    Sammanfattning : Emerging floating-point arithmetics provide a way to optimize the execution of computationally-intensive algorithms. This is the case with scientific computational kernels such as the Conjugate Gradient (CG) linear solver. Exploring new arithmetics is of paramount importance to maximize the accuracy and timing performance of these algorithms. LÄS MER

  4. 3. Representation and Efficient Computation of Sparse Matrix for Neural Networks in Customized Hardware

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

    Författare :Lihao Yan; [2022]
    Nyckelord :Convolutional neural networks; Sparse matrix representation; Model compression; Algorithm-hardware co-design; AlexNet; Konvolutionella neurala nätverk; Sparsam matrisrepresentation; Modellkomprimering; Algoritm-hårdvarusamdesign; AlexNet;

    Sammanfattning : Deep Neural Networks are widely applied to various kinds of fields nowadays. However, hundreds of thousands of neurons in each layer result in intensive memory storage requirement and a massive number of operations, making it difficult to employ deep neural networks on mobile devices where the hardware resources are limited. LÄS MER

  5. 4. Hur räknar du ut 45 + 39? : En studie över vilka beräkningsstrategier högpresterande elever i matematik tillämpar vid aritmetiska uppgifter samt hur dessa beräkningsstrategier förhåller sig till arbetsminne.

    Magister-uppsats, Uppsala universitet/Blom Johansson: Logopedi; Uppsala universitet/Logopedi

    Författare :Cecilia Kristensen; Hanna Birkdal; [2021]
    Nyckelord :matematik; aritmetik; huvudräkning; beräkningsstrategi; talfakta; högpresterande; spetsutbildning; minne;

    Sammanfattning : Mental arithmetic problems require cognitive skills such as decoding numbers, working memory and the use of mental computation strategies. Pupils obtain various computation strategies at school, but what kind of strategies do pupils who are high achievers in mathematics choose while solving mental arithmetic problems? This study aimed to investigate what kind of strategies pupils who are high achievers in mathematics used while solving mental arithmetic problems, and if there were any substantial findings in the correlation between those strategies and their audio and visual memory. LÄS MER

  7. 5. ”JAG RÄKNADE MED FINGRARNA" -

    Master-uppsats,

    Författare :Britt Holmberg; [2018-08-30]
    Nyckelord :subtraction; finger use; part-whole relations; primary school; variation theory;

    Sammanfattning : The aim of the study is to investigate how students in third grade solve subtractions problems and what strategies they use. Earlier research (Neuman, 1987; Svenson & Sjöberg, 1982) has shown that students leave third grade without sufficient knowledge in simple arithmetic. LÄS MER