Sökning: "caching."
Visar resultat 1 - 5 av 92 uppsatser innehållade ordet caching..
1. Optimizing Consensus Protocols with Machine Learning Models : A cache-based approach
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Distributed systems offer a reliable and scalable solution for tackling massive and complex tasks that cannot be handled by a single computer. However, standard consensus protocols used in such systems often replicate data without considering the workload, leading to unnecessary retransmissions. LÄS MER
2. Subtree Hashing of Tests in Build Systems : Rust Tricorder
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Software applications are built by teams of developers that constantly iterate over the codebase. Software projects rely on a build system, which handles the management of dependencies, compilation, testing, and deployment of the software. LÄS MER
3. Jämförelse av cache-tjänster: WSUS Och LanCache
Uppsats för yrkesexamina på grundnivå, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : Inom nätverkstekniken och datakommunikationen råder idag en tro på tekniken nätverkscache som kan spara data för att senare kunna hämta hem det snabbare. Tekniken har genom åren visat att den effektivt kan skicka den önskade data till sina klienter. Det finns flera cache-tjänster som använder tekniken för Windows-uppdateringar. LÄS MER
4. CLIENT-SIDE CACHING: REDUCING SERVER LOAD AND LATENCY IN A NETWORK TRAFFIC ANALYSIS TOOL
Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : Caching is a fundamental technique widely used in the field of computing to reduce network traffic, server load, and latency. Storing frequently accessed data in a high-speed cache layer can make future requests process faster by involving fewer system components when generating and serving the response. LÄS MER
5. Register Caching for Energy Efficient GPGPU Tensor Core Computing
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The General-Purpose GPU (GPGPU) has emerged as the predominant computing device for extensive parallel workloads in the fields of Artificial Intelligence (AI) and Scientific Computing, primarily owing to its adoption of the Single Instruction Multiple Thread architecture, which not only provides a wealth of thread context but also effectively hide the latencies exposed in the single threads executions. As computational demands have evolved, modern GPGPUs have incorporated specialized matrix engines, e. LÄS MER