Essays about: "cache"
Showing result 31 - 35 of 174 essays containing the word cache.
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31. A Study on Data-driven Methods for Selection and Evaluation of Beam Subsets in 5G NR
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : 5G New Radio is the next generation of mobile networks and it comes with promises of ultra-high speeds, ultra-high reliability and ultra-low latency. This has posed a challenge for the engineers entrusted with the task of finding solutions which could fulfil the specification, and as a result, some promising areas have received increased attention in recent years. READ MORE
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32. FPGA Implementation of Feature Matching in ORB-SLAM2
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Simultaneous Localization And Mapping (SLAM) is an important component in solving the problem of autonomous navigation — allowing machines such as selfdriving cars and mobile robots to find their way in the world without human instruction. Though there is a steadily growing body of literature in the field of SLAM, far fewer works currently address using hardware acceleration to speed up this computationally heavy task. READ MORE
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33. Improving relocation performance in ZGC by identifying the size of small objects
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Modern Garbage Collectors provide performance improvements by increasing program locality to utilize the faster CPU cache. A common approach is to move objects together according to the mutators’ access order, which brings more relocations during GC. READ MORE
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34. Cacheray - A Trace Based Cache Simulator
University essay from Lunds universitet/Institutionen för datavetenskapAbstract : .... READ MORE
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35. Online Learning with Sample Selection
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In data-driven network and systems engineering, we often train models offline using measurement data collected from networks. Offline learning achieves good results but has drawbacks. For example, model training incurs a high computational cost and the training process takes a long time. READ MORE