Sökning: "SpiNNaker"
Visar resultat 1 - 5 av 6 uppsatser innehållade ordet SpiNNaker.
1. Applicability of neuromorphic hardware in disease spread simulations : A comparison of a SpiNNaker board and a GPU
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This research paper investigates whether neuromorphic hardware can outperform the traditional GPU in simulating disease spread. As the era of Moore’s Law draws to a close, researchers are seeking alternative solutions to enhance computational power. LÄS MER
2. Development and Evaluation of a Road Marking Recognition Algorithm implemented on Neuromorphic Hardware
Kandidat-uppsats, KTH/DatavetenskapSammanfattning : Driving is one of the most common and preferred forms of transport used in our actual society. However, according to studies, it is also one of the most dangerous. One solution to increase safety on the road is applying technology to automate and prevent avoidable human errors. LÄS MER
3. Integrating a SpiNNaker 2 prototype on an embedded platform : Hardware design and firmware modification
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The field of neuromorphic computing concerns simulating the information processing of a brain in software or hardware on a computing platform. One neuromorphic platform that uses specialized hardware is SpiNNaker. It is an integrated circuit consisting of multiple general purpose processing cores that can run simulations of neurons. LÄS MER
4. Evaluation and Improvement of Application Deployment in Hybrid Edge Cloud Environment : Using OpenStack, Kubernetes, and Spinnaker
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Traditional mechanisms of deployment of deferent applications can be costly in terms of time and resources, especially when the application requires a specific environment to run upon and has a different kind of dependencies so to set up such an application, it would need an expert to find out all required dependencies. In addition, it is difficult to deploy applications with efficient usage of resources available in the distributed environment of the cloud. LÄS MER
5. Scaling Properties of Spiking Neural Networks on the Digital Neuromorphic Hardware SpiNNaker : An analysis of how increasing the number of neurons and the number of connections between them affects the performance of spiking neural networks on the SpiNNaker architecture
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : SpiNNaker is a neuromorphic hardware devised to simulate SNNs effectively.This paper examines how the performance of an SNN simulated on SpiNNaker is affected by its ratio of number of neurons to number of connections between neurons, as the SNN grows in size. The scope of this paper is limited to the SpiNNaker system SpiNN-3. LÄS MER