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Visar resultat 1 - 5 av 13 uppsatser som matchar ovanstående sökkriterier.
1. A Performance Comparison of Path Tracing on FPGA and GPU
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Ray Tracing algorithms have long been the popular choice for rendering realistic images, and in recent years they have also reached the field of real time computer graphics. Although their performance has seen great improvement, they are still very computationally costly to perform, both in terms of time and power. LÄS MER
2. Tiered Storage Architecture for Stream Processing Systems
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : State management is the key component of a stateful stream processing system. Normally a stream processing system supports either an embedded state backend or an external backend. An embedded backend will store the data locally on the computing node. It is efficient to read and write but will lose the capability to scale out the system. LÄS MER
3. Acoarse grain reconfigurable memory architecture for linear algebra and deep neural networks
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Companies and institutions around the world have been working to develop machines with always more computing power. This race has now found its new objective: hexascale computing (with 1018 flops machines). LÄS MER
4. Hardware Support for FPGA Resource Elasticity
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : FPGAs are commonly used in cloud computing due to their ability to be programmed as a processor that serves a specific purpose; hence, achieving high performance at low power. On the other hand, FPGAs have a lot of resources available, which are wasted if they host a single application or serve a single user’s request. LÄS MER
5. Machine Learning with Reconfigurable Privacy on Resource-Limited Edge Computing Devices
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Distributed computing allows effective data storage, processing and retrieval but it poses security and privacy issues. Sensors are the cornerstone of the IoT-based pipelines, since they constantly capture data until it can be analyzed at the central cloud resources. However, these sensor nodes are often constrained by limited resources. LÄS MER