Essays about: "Parallel frameworks"
Showing result 1 - 5 of 43 essays containing the words Parallel frameworks.
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1. Head-to-head Transfer Learning Comparisons made Possible : A Comparative Study of Transfer Learning Methods for Neural Machine Translation of the Baltic Languages
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : The struggle of training adequate MT models using data-hungry NMT frameworks for low-resource language pairs has created a need to alleviate the scarcity of sufficiently large parallel corpora. Different transfer learning methods have been introduced as possible solutions to this problem, where a new model for a target task is initialized using parameters learned from some other high-resource task. READ MORE
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2. An efficient deep reinforcement learning approach to the energy management for a parallel hybrid electric vehicle
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : In contemporary world, the global energy crisis and raise of greenhouse gas concentration in atmosphere necessitate the energy conservation and emission reduction. Hybrid electric vehicles (HEVs) can achieve great promise in reducing fuel consumption and greenhouse gas emissions by appropriate energy management strategies (EMSs). READ MORE
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3. Predictive MR Image Generation for Alzheimer’s Disease and Normal Aging Using Diffeomorphic Registration
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Alzheimer´s Disease (AD) is the most prevalent cause of dementia, signifying a progressive and degenerative brain disorder that causes cognitive function deterioration including memory loss, communication difficulties, impaired judgment, and changes in behavior and personality. Compared to normal aging, AD introduces more profound cognitive impairments and brain morphology changes. READ MORE
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4. A systematic performance study of the parallel programming framework SkePU 3 using HPC-benchmarks
University essay from Linköpings universitet/Programvara och systemAbstract : With hardware performance no longer following Moore’s law, software optimization becomes more important. In this paper, we discuss parallel programming, which is one way to optimize software. However, writing parallel code is considered more difficult than writing sequential code. READ MORE
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5. Hadoop scalability evaluation for machine learning algorithms on physical machines : Parallel machine learning on computing clusters
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : The amount of available data has allowed the field of machine learning to flourish. But with growing data set sizes comes an increase in algorithm execution times. READ MORE
