Results 31 to 40 of about 21,441,590 (245)
Dynamically Changing Parallelism with the Asynchronous Sequential Data Flows
Моделирование и анализ информационных систем, 2020 A statically typed version of the data driven functional parallel computing model is proposed. It enables a representation of dynamically changing parallelism by means of asynchronous serial data flows.
Alexander I. Legalov +3 more
doaj +1 more source
High performance deep packet inspection on multi-core platform [PDF]
, 2009 Deep packet inspection (DPI) provides the ability to perform quality of service (QoS) and Intrusion Detection on network packets. But since the explosive growth of Internet, performance and scalability issues have been raised due to the gap between ...
Morris, Joseph +2 more
core +1 more source
ISPRS International Journal of Geo-Information, 2017 Parallel processing in the real-time visualization of three-dimensional Geographic Information Systems (3DGIS) has tended to concentrate on algorithm levels in recent years, and most of the existing methods employ multiple threads in a Central Processing
Dongbo Zhou +4 more
doaj +1 more source
A Parallelised ROOT for Future HEP Data Processing [PDF]
EPJ Web of Conferences, 2019 In the coming years, HEP data processing will need to exploit parallelism on present and future hardware resources to sustain the bandwidth requirements. As one of the cornerstones of the HEP software ecosystem, ROOT embraced an ambitious parallelisation
Piparo Danilo +6 more
doaj +1 more source
Parallelism detection using graph labelling [PDF]
arXiv, 2022 Usage of multiprocessor and multicore computers implies parallel programming. Tools for preparing parallel programs include parallel languages and libraries as well as parallelizing compilers and convertors that can perform automatic parallelization. The basic approach for parallelism detection is analysis of data dependencies and properties of program
arxiv
Spark deployment and performance evaluation on the MareNostrum supercomputer [PDF]
, 2015 In this paper we present a framework to enable data-intensive Spark workloads on MareNostrum, a petascale supercomputer designed mainly for compute-intensive applications.
Ayguadé Parra, Eduard +9 more
core +1 more source
Parallel Data Compression Techniques [PDF]
arXiv, 2023 With endless amounts of data and very limited bandwidth, fast data compression is one solution for the growing datasharing problem. Compression helps lower transfer times and save memory, but if the compression takes too long, this no longer seems viable.
arxiv
Effective Parallelism for Equation and Jacobian Evaluation in Power Flow Calculation [PDF]
, 2020 This letter investigates parallelism approaches for equation and Jacobian evaluations in large-scale power flow calculation. Two levels of parallelism are proposed and analyzed: inter-model parallelism, which evaluates models in parallel, and intra-model parallelism, which evaluates calculations within each model in parallel.
arxiv +1 more source
Efficient computation of oriented vertex and arc colorings of special digraphs [PDF]
arXiv, 2022 In this paper we study the oriented vertex and arc coloring problem on edge series-parallel digraphs (esp-digraphs) which are related to the well known series-parallel graphs. Series-parallel graphs are graphs with two distinguished vertices called terminals, formed recursively by parallel and series composition.
arxiv
An effective data placement strategy for XML documents [PDF]
, 2001 As XML is increasingly being used in Web applications, new technologies need to be investigated for processing XML documents with high performance. Parallelism is a promising solution for structured document processing and data placement is a major ...
Lü, K, Zhu, Y
core +1 more source