Essays about: "Code parallelization"
Showing result 1 - 5 of 27 essays containing the words Code parallelization.
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1. Performance Optimization of Ice Sheet Simulation Models : Examining ways to speed up simulations, enabling for upscaling with more data
University essay from Uppsala universitet/Avdelningen för beräkningsvetenskapAbstract : This study aims to examine how simulation models can be performance optimized in Python. Optimized in the sense of executing faster and enabling upscaling with more data. To meet this aim, two models simulating the Greenland ice sheet are studied. The simulation of ice sheets is an important part of glaciology and climate change research. READ MORE
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2. On GPU Assisted Polar Decoding : Evaluating the Parallelization of the Successive Cancellation Algorithmusing Graphics Processing Units
University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Abstract : In telecommunication, messages sent through a wireless medium often experience noise interfering with the signal in a way that corrupts the messages. As the demand for high throughput in the mobile network is increasing, algorithms that can detectand correct these corrupted messages quickly and accurately are of interest to the industry. READ MORE
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3. Vectorization of the Jacobi method with single- and multiple right-hand sides
University essay from Lunds universitet/Matematikcentrum; Lunds universitet/Matematik (naturvetenskapliga fakulteten)Abstract : Vectorization has been an important consideration for scientific com- puting performance for a long time. Early super computers were designed around vectorization, the so called ”vector computers”, but recent trends point toward favouring other computer architectures, and vector comput- ers are much more rare than they used to be. 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. Parallelization of a thermal elastohydrodynamic lubricated contacts simulation using OpenMP
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Datorer med flera kärnor som delar på ett gemensamt minne (SMP) har blivit normen sedan Moore's lag har slutat gälla. För att utnyttja den prestanda flera kärnor erbjuder så behöver mjukvaruingenjören skriva programmen så att de explicit utnyttjar flera kärnor. READ MORE