With the increase of information, the traditional image processing technology still has a big shortage in image quality and processing speed. Therefore, how to improve the image quality and processing speed is a resea...
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Since IoT devices are becoming increasingly widespread, the security of IoT-dependent networks gets highly significant. Because of the Internet of Things' fast global proliferation, there has been a massive surge ...
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Many scientific simulations and experiments generate terabytes to petabytes of data daily, necessitating data compression techniques. Unlike video and image compression, scientists require methods that accurately pres...
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ISBN:
(纸本)9798350383225
Many scientific simulations and experiments generate terabytes to petabytes of data daily, necessitating data compression techniques. Unlike video and image compression, scientists require methods that accurately preserve primary data (PD) and derived quantities of interest (QoIs). In our previous work, we demonstrated the effectiveness of hybrid compression techniques that combine machine learning with traditional approaches. This paper presents innovative computational techniques aimed at expediting the compression pipeline. Our experiments, conducted on two distinct platforms with a large-scale XGC-based fusion simulation, demonstrate that the overhead incurred by these new approaches is less than one percent of the computational resources needed for the simulation.
Three-dimensional point cloud models with high precision and density often have redundant data, resulting in an increase in computational time and hardware costs. To analyze and extract data more effectively, point cl...
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The paper investigates the integration and adaptation of the LZ4 compression algorithm within the context of TizenRT, in addition to existing algorithms Miniz and LZMA. TizenRT, a real-Time operating system tailored f...
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In recent years, big dataprocessing has grown increasingly prevalent in cloud-based computing platforms such as MapReduce, Hadoop, and Dryad. data are organized into many smaller chunks in these systems, and each chu...
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Due to recent healthcare advancements, food image categorization is a growing subject of research and interest. High carbohydrate content in Indian cuisine is responsible for the raising diabetes rate in the country. ...
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With the continuous development of Internet and information technology, big data has become an important topic in today's society. In the power industry, big dataalgorithms are gradually being applied. This paper...
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This paper presents DDIOSim, a cycle-accurate microarchitecture simulator that simulates data Direct I/O-based network packet processing. Our open-source simulator consists of a front-end trace generator that generate...
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ISBN:
(纸本)9798350383225
This paper presents DDIOSim, a cycle-accurate microarchitecture simulator that simulates data Direct I/O-based network packet processing. Our open-source simulator consists of a front-end trace generator that generates traces of CPU instructions, memory accesses, and network I/O events across multiple networking applications, and a cycle-accurate backend simulator that processes these traces by simulating DDIO operations along with the entire CPU and cache/memory hierarchy. Our simulator can be used to explore various DDIO design and configuration options, and its interactions with other microarchitecture optimizations like cache hierarchy, hardware prefetchers, and DRAM schedulers.
In large-scale distributed systems, computational nodes often experience random slowdown which can degrade the performance of timely computation tasks significantly. Recently, coded computing has emerged as a promisin...
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