Essays about: "Vector processor"
Showing result 1 - 5 of 21 essays containing the words Vector processor.
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1. Commissioning of a FPGA/DSP unit for Centralized Control of a Variable Phase Pole Multiphase Machine
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Multiphase Electrical Machines (MPEMs) with variable phase-pole configurations have recently gained interest as it offers advantages such as a larger operating range and improved fault tolerance compared to more traditional MPEMs. The current state-of-the-art modeling and control method, Vector Space Decomposition (VSD), has the drawback of introducing discontinuities in the model when transitioning from one phase-pole configuration to another. READ MORE
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2. AXI-PACK : Near-memory Bus Packing for Bandwidth-Efficient Irregular Workloads
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : General propose processor (GPP) are demanded high performance in dataintensive applications, such as deep learning, high performance computation (HPC), where algorithm kernels like GEMM (general matrix-matrix multiply) and SPMV (sparse matrix-vector multiply) kernels are intensively used. The performance of these data-intensive applications are bounded with memory bandwidth, which is limited by computing & memory access coupling and memory wall effect. READ MORE
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3. Object Detection with Real-Time Context Adaptation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Visual object detection based on Convolutional Neural Networks (CNNs) isquickly becoming an essential component of many Augmented Reality (AR) applications.Despite of the impressive performance, these state-of-the-art systemshave one obvious weakness: they do not have capability to learn at run-time,from the visual appearance of the target object in a particular test video. READ MORE
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4. Acceleration of Machine-Learning Pipeline Using Parallel Computing
University essay from Uppsala universitet/Signaler och systemAbstract : Researchers from Lund have conducted research on classifying images in three different categories, faces, landmarks and objects from EEG data [1]. The researchers used SVMs (Support Vector Machine) to classify between the three different categories [2, 3]. READ MORE
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5. The Performance of Post-Quantum Key Encapsulation Mechanisms : A Study on Consumer, Cloud and Mainframe Hardware
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. People use the Internet for communication, work, online banking and more. Public-key cryptography enables this use to be secure by providing confidentiality and trust online. Though these algorithms may be secure from attacks from classical computers, future quantum computers may break them using Shor’s algorithm. READ MORE
