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Non-volatile random-access memory (NVRAM) is about to hit the market and will require significant changes to the architecture of in-memory database systems. Since such hybrid DRAM-NVRAM database systems will keep the primary data solely persistent in
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Dieses Buch – eine Open-Access-Publikation mit freiem Online-Zugang – bietet eine verständliche und kompakte Einführung in die Nutzung von KI-Systemen in öffentlichen Verwaltungen. Es beantwortet folgende Fragen: Was bedeutet Künstliche Intel
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https://library.oapen.org/handle/20.500.12657/75419
Autor:
Janke, Maximilian M.
Online Makespan Minimization and List Update are online problems relevant to scheduling and data management. For List Update in the paid exchange model, the goal is to dynamically maintain a linear linked list. Lists are sensible data structures for
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https://mediatum.ub.tum.de/doc/1624478/document.pdf
https://mediatum.ub.tum.de/doc/1624478/document.pdf
Autor:
Duwe, Kira Isabel
In times of continuously growing data sizes, performing insightful analysis is increasingly difficult. Therefore, it is vital to sift through the data volumes most efficiently. However, the hardware hierarchy of high-performance computing (HPC) syste
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Topology-aware optimization of big sparse matrices and matrix multiplications on main-memory systems
Since data sizes of analytical applications are continuously growing, many data scientists are switching from customized micro-solutions to scalable alternatives, such as statistical and scientific databases. However, many algorithms in data mining a
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Publikováno v:
Applied Network Science (2016), 1(1). S. 9. ISSN: 2364-8228. DOI: 10.1007/s41109-016-0011-2
Graphs are used to model a wide range of systems from different disciplines including social network analysis, biology, and big data processing. When analyzing these constantly changing dynamic graphs at a high frequency, performance is the main conc
Graphs are used to model a wide range of systems from different disciplines including social network analysis, biology, and big data processing. When analyzing these constantly changing dynamic graphs at a high frequency, performance is the main conc
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Scientific computations and analytical business applications are often based on linear algebra operations on large, sparse matrices. With the hardware shift of the primary storage from disc into memory it is now feasible to execute linear algebra que
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Growing main memory capacities and an increasing number of hardware threads in modern server systems led to fundamental changes in database architectures. Most importantly, query processing is nowadays performed on data that is often completely store
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Efficient discovery of frequent itemsets in large datasets is a key component of many data mining tasks. In-core algorithms ---which operate entirely in main memory and avoid expensive disk accesses ---and in particular the prefix tree-based algorith
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