In the recent time, most of the crucial data are stored on the cloud due to ease of access and extra storing capacity. Cloud computing is an emerging technology that has a power of on-demand availability of computer r...
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In February and April 2023 live, at-scale dataprocessing demonstrations were conducted between the Advanced Photon Source (APS), a synchrotron light source, and the Argonne Leadership computing Facility (ALCF). These...
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The integration of cutting-edge technology, such as cloud computing and Clinical Decision Support (CDS) algorithms, is radically altering the healthcare system. This research digs into how Inference Engines, Bayesian ...
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We need computing systems that can keep up with the exponential growth of data to enable the artificial intelligence-driven transformation of the modern world. Scalable graph processing systems that can handle graphs ...
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ISBN:
(纸本)9798350323702
We need computing systems that can keep up with the exponential growth of data to enable the artificial intelligence-driven transformation of the modern world. Scalable graph processing systems that can handle graphs with trillions of edges present new challenges that require new ways of thinking about architecting computing systems. We show that the memory and interconnect requirements of large-scale graph processing systems mesh very well with the unique strengths of photonic interconnects, such as bandwidth density and the ability to provide high bandwidth, low latency, and low energy per bit across very long distances. These advantages of photonics can be synergized with emerging 3D and chiplet-based integration technology to create rackscale or warehouse-scale systems for high-speed predictive data analytics that can enable new applications in many disciplines.
With the increasing amount of flight test data, the traditional single-thread technology has been unable to meet the needs of rapid processing of massive flight test data. In order to improve the efficiency of flight ...
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The widespread usage of social networking sites has resulted in an immense volume of data being generated and shared by users worldwide. This vast amount of data, known as big data, presents significant opportunities ...
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Cloud computing has emerged as a prominent paradigm for the efficient storage and processing of large volumes of data. However, the security of sensitive information remains a primary concern for both users and servic...
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With the popularization of informatization in traditional industries and the rapid development of Internet+ technology, a large amount of management data has been generated, and how to efficiently data mine it has bec...
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Cloud computing is a 21st-century buzzword. Most organizations adopt this automation in today's world. However! there are different types of dataprocessing, such as Time-sharing computing environment, client-serv...
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Despite decades of intensive study on grouping for small to medium-sized data sets, research into huge data clustering is gaining more and more attention from both business and academia. Contrary to clustering algorit...
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