Essays about: "massively parallel algorithms"
Showing result 1 - 5 of 11 essays containing the words massively parallel algorithms.
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1. Study on feasibility of small-scale pumped hydro storage- A case study in Sweden
University essay from Lunds universitet/Institutionen för energivetenskaperAbstract : The European union has been aggressively pushing forward with policies favoring renewable sources of energy. As a result, the share of intermittent renewables in the European power grid is rising and is expected to grow even more in the coming decade. The Swedish energy agency also forecast huge growth in wind power. READ MORE
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2. Decentralized Large-Scale Natural Language Processing Using Gossip Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The field of Natural Language Processing in machine learning has seen rising popularity and use in recent years. The nature of Natural Language Processing, which deals with natural human language and computers, has led to the research and development of many algorithms that produce word embeddings. READ MORE
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3. Is GPGPU CCL worth it? : A performance comparison between some GPU and CPU algorithms for solving connected components labeling on binary images
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : Connectedcomponentlabeling(CCL)isatraditionallysequentialproblem that is hard to parallelize. This report aims to test the performance of solving CCL using massively parallel hardware through GPGPU. To achieve this several CCL algorithms were researched and implemented using C++ and OpenCL. READ MORE
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4. Train Re-scheduling : A Massively Parallel Approach Using CUDA
University essay from Blekinge Tekniska Högskola/Institutionen för datalogi och datorsystemteknikAbstract : Context. Train re-scheduling during disturbances is a time-consuming task. Modified schedules need to be found, so that trains can meet in suitable locations and delays minimized. Domino effects are difficult to manage. READ MORE
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5. Evaluation of Energy-Optimizing Scheduling Algorithms for Streaming Computations on Massively Parallel Multicore Architectures
University essay from Linköpings universitet/Institutionen för datavetenskap; Linköpings universitet/Tekniska högskolanAbstract : This thesis describes an environment to evaluate and compare static schedulers for real pipelined streaming applications on massively parallel architectures, such as Intel Single chip Cloud Computer (SCC), Adapteva Epiphany, and Tilera TILE-Gx series. The framework allows performance comparison of schedulers in their execution time, or the energy usage of static schedules with energy models and measurements on real platform. READ MORE