Essays about: "Concurrent training"
Showing result 1 - 5 of 18 essays containing the words Concurrent training.
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1. Dimensioning Microservices on Kubernetes Platforms Using Machine Learning Techniques
University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Abstract : In recent years, cloud computing and containerization have become increasingly popular for various applications. However, optimizing resource usage and minimizing costs while providing reliable and efficient service to users can be a challenge. One such challenge is scaling containers according to the current system load. READ MORE
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2. Reaching Higher I4.0 Maturity in Lean-Driven Manufacturing Systems : A case study on the influencing factors in the selection and implementation of I4.0 technologies
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : The new Industry 4.0 technologies have the potential to increase the operational performance of lean-driven manufacturing organizations, however, there is a lack of guidance on how to select and implement Industry 4.0 technologies which often leads to digital waste. READ MORE
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3. ODENSE Illuminating Storage : Matching user needs with smart textiles todevelop a multi-functional furniture concept
University essay from KTH/Maskinkonstruktion (Inst.)Abstract : This report presents the master thesis project carried out by Pierre Lindgren & Jacob Thagaard Hansen at KTH Royal Institute of technology for IKEA of Sweden. The project aimed to explore the capabilities of so-called smart textiles, as well as to establish clear user needs which these can meet. READ MORE
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4. Efficient serverless resource scheduling for distributed deep learning.
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Stemming from the growth and increased complexity of computer vision, natural language processing, and speech recognition algorithms; the need for scalability and fault tolerance of machine learning systems has risen. In order to comply with these demands many have turned their focus towards implementing machine learning on distributed systems. READ MORE
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5. Comparing a gang-like scheduler with the default Kubernetes scheduler in a multi-tenant serverless distributed deep learning training environment
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Systems for running distributed deep learning training on the cloud have recently been developed. An important component of a distributed deep learning job handler is its resource allocation scheduler. This scheduler allocates computing resources to parts of a distributed training architecture. READ MORE