Essays about: "Parallel Applications"
Showing result 1 - 5 of 268 essays containing the words Parallel Applications.
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1. Evaluating Performance of Pattern Searching Algorithms on Wildcard Patterns
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : The pattern matching problem is the problem of finding a set of sequential characters in a text of equal amount of characters or more. There are many applications for pattern matching algorithms e.g. search engines and databases. READ MORE
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2. A dynamic approach to sorting with respect to big data
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : This study introduces a dynamic approach to sorting, making use of predictions and data gathered during run-time to optimize the sorting of the current data set. This approach is used to develop a sorting algorithm called DynamicSort which partitions data and calculates a partial standard deviation for each partition to determine which of two sorting algorithms should be used to sort the partition. READ MORE
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3. Greening the grid of Indonesia - Second life application for Lithium-Ion Electric Vehicle batteries in Indonesia’s Energy System
University essay from Lunds universitet/InnovationAbstract : With the increasing energy demand from urban electrification, the growing economy and global warming, Indonesia has some extensive challenges ahead. Additionally, growing demand for Li-ion batteries is causing shortages of virgin battery minerals in parallel with the increasing demand for energy storage to accommodate electrification. READ MORE
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4. Real-time Soft Body Simulation using Extended Position-Based Dynamics and Tetrahedral Deformation
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. Several methods have been used to simulate soft body deformation, such as mass-spring systems and position-based dynamics. This has been done using tetrahedral mesh models for preservation of shape and volume. READ MORE
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5. Low-power Implementation of Neural Network Extension for RISC-V CPU
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep Learning and Neural Networks have been studied and developed for many years as of today, but there is still a great need of research on this field, because the industry needs are rapidly changing. The new challenge in this field is called edge inference and it is the deployment of Deep Learning on small, simple and cheap devices, such as low-power microcontrollers. READ MORE