Search Results - "Vranjkovic, Vuk"

Hardware Acceleration of Sparse Support Vector Machines for Edge Computing by Vranjkovic, Vuk, Struharik, Rastislav

“…In this paper, a hardware accelerator for sparse support vector machines (SVM) is proposed. We believe that the proposed accelerator is the first accelerator…”
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Striping input feature map cache for reducing off-chip memory traffic in CNN accelerators by Struharik, Rastislav, Vranjković, Vuk

“…Data movement between the Convolutional Neural Network (CNN) accelerators and off-chip memory is critical concerning the overall power consumption. Minimizing…”
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Argus CNN Accelerator Based on Kernel Clustering and Resource-Aware Pruning by Rakanovic, Damjan M., Vranjkovic, Vuk, Struharik, Rastislav J. R.

“…Paper proposes a two-step Convolutional Neural Network (CNN) pruning algorithm and resource-efficient Field-programmable gate array (FPGA) CNN accelerator…”
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Coarse-grained reconfigurable hardware accelerator of machine learning classifiers by Vranjkovic, Vuk, Struharik, Rastislav

“…In this paper a universal, coarse-grained reconfigurable architecture for hardware acceleration of decision trees (DTs), artificial neural networks (ANNs), and…”
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Hardware acceleration of homogeneous and heterogeneous ensemble classifiers by Vranjković, Vuk S., Struharik, Rastislav J.R., Novak, Ladislav A.

“…In this paper a universal reconfigurable computing architecture for hardware implementation of homogeneous and heterogeneous ensemble classifiers composed from…”
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Implementation of parallel K-means algorithm for image classification using OpenMP and MPI libraries by Tanovic, Anja, Vranjkovic, Vuk

“…The k-means algorithm is a widely used Machine learning algorithm for clustering. This paper introduces a parallel k-means algorithm implementation for image…”
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Stick Buffer Cache v2: Improved Input Feature Map Cache for Reducing off-chip Memory Traffic in CNN Accelerators by Struharik, Rastislav, Vranjkovic, Vuk

“…Data movement between the Convolutional Neural Network (CNN) accelerators and off-chip memory is critical with respect to the overall power consumption…”
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Reducing off-chip memory traffic in deep CNNs using stick buffer cache by Rakanovic, Damjan, Erdeljan, Andrea, Vranjkovic, Vuk, Vukobratovic, Bogdan, Teodorovic, Predrag, Struharik, Rastislav

“…Recent studies show that traffic between the Convolutional Neural Network (CNN) accelerators and off-chip memory becomes critical with respect to the energy…”
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New architecture for SVM classifier and its application to telecommunication problems by Vranjkovic, V., Struharik, R.

“…We propose a new digital architecture for a SVM classification. The architecture uses a kernel which is suited for an implementation as a digital architecture…”
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