Essays about: "arithmetic operations"
Showing result 1 - 5 of 22 essays containing the words arithmetic operations.
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1. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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2. Leveraging Posits for the Conjugate Gradient Linear Solver on an Application-Level RISC-V Core
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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3. Representation and Efficient Computation of Sparse Matrix for Neural Networks in Customized Hardware
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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4. Mitchell-Based Approximate Operations on Floating-Point Numbers
University essay from Linköpings universitet/DatorteknikAbstract : By adapting Mitchell's algorithm for floating-point numbers, one can efficiently perform arithmetic floating-point operations in an approximate logarithmic domain in order to perform approximate computations of functions such as multiplication, division, square root and others. This work examines how this algorithm can be improved in terms of accuracy and hardware complexity by applying a set of various methods that are parametrized and offer a large design space. READ MORE
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5. FPGA Implementation of an Anonymization Algorithm
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : With the large amount of surveillance cameras in our public spaces there has been much discussion about their effects on privacy. Axis communications has an algorithm that tries to remedy this by making it hard to see who is in an image but still have it possible for a neural network to detect that there is a person present. READ MORE