Sökning: "massively parallel algorithms"
Visar resultat 1 - 5 av 11 uppsatser innehållade orden massively parallel algorithms.
1. Study on feasibility of small-scale pumped hydro storage- A case study in Sweden
Master-uppsats, Lunds universitet/Institutionen för energivetenskaperSammanfattning : 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. LÄS MER
2. Decentralized Large-Scale Natural Language Processing Using Gossip Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER
3. Is GPGPU CCL worth it? : A performance comparison between some GPU and CPU algorithms for solving connected components labeling on binary images
Kandidat-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)Sammanfattning : 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. LÄS MER
4. Train Re-scheduling : A Massively Parallel Approach Using CUDA
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datalogi och datorsystemteknikSammanfattning : 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. LÄS MER
5. Evaluation of Energy-Optimizing Scheduling Algorithms for Streaming Computations on Massively Parallel Multicore Architectures
Uppsats för yrkesexamina på avancerad nivå, Linköpings universitet/Institutionen för datavetenskap; Linköpings universitet/Tekniska högskolanSammanfattning : 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. LÄS MER