Essays about: "Distributed parallel programming"
Showing result 1 - 5 of 27 essays containing the words Distributed parallel programming.
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1. A Benchmark Suite for the OmpSs-2@ ArgoDSM task-based distributed shared memory environment
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Applications with high complexity, heavy computations and processing of large amount of data require powerful computer systems and programming models that allow efficient parallel execution without excessive programming effort. Benchmarking of these systems and models is of vital importance in order to identify their strengths, weaknesses, and potential improvements. READ MORE
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2. Integrating SkePU's algorithmic skeletons with GPI on a cluster
University essay from Linköpings universitet/Programvara och systemAbstract : As processors' clock-speed flattened out in the early 2000s, multi-core processors became more prevalent and so did parallel programming. However this programming paradigm introduces additional complexities, and to combat this, the SkePU framework was created. READ MORE
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3. Extending Distributed Shared Memory with Transactional Memory Support
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Parallel programming has become increasingly important both as a programming skill and as a research topic over the last decades. Multicore computers and mobile devices are part of our daily lives, and computer clusters facilitate research in many areas all over the world. READ MORE
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4. Augmenting MPI Programming Process with Cognitive Computing
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Cognitive Computing is a new and quickly advancing technology. In thelast decade Cognitive Computing has been used to assist researchers in theirendeavors in many different scientific fields such as Health & medicine,Education, Marketing, Psychology and Financial Services. READ MORE
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5. Ablation Programming for Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As machine learning systems are being used in an increasing number of applications from analysis of satellite sensory data and health-care analytics to smart virtual assistants and self-driving cars they are also becoming more and more complex. This means that more time and computing resources are needed in order to train the models and the number of design choices and hyperparameters will increase as well. READ MORE