Cancer, as one of the widely discussed contemporary topics, has attracted much attention. Its occurrence is closely related to economic development, lifestyle choice and environmental factors. Due to factors such as i...
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Efficient processing of extensive datasets is crucial in data-driven applications, particularly for anomaly detection. This article explores the application of parallel and distributed machine learning techniques to e...
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Reduction and critical are two methods to synchronize access to shared variables in parallel regions in OpenMP, which have a certain impact on the performance of many parallel computations. Therefore, the parallel spe...
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Edge computing realizes real-Time parallel storage and computing in a distributed way, which can reduce the data transmission cost. The edge nodes, which are composed of different heterogeneous physical devices and ha...
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Cloud computing has revolutionized the way businesses and individuals access and manage data and services. However, it has also introduced new security challenges, particularly in the context of transactional integrit...
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Maintaining electric power system stability is paramount, especially in extreme contingencies involving unexpected outages of multiple generators or transmission lines that are typical during severe weather events. Su...
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ISBN:
(纸本)9781450394451
Maintaining electric power system stability is paramount, especially in extreme contingencies involving unexpected outages of multiple generators or transmission lines that are typical during severe weather events. Such outages often lead to large supply-demand mismatches followed by subsequent system frequency deviations from their nominal value. The extent of frequency deviations is an important metric of system resilience, and its timely mitigation is a central goal of power system operation and control. This paper develops a novel nonlinear model predictive control (NMPC) method to minimize frequency deviations when the grid is affected by an unforeseen loss of multiple components. Our method is based on a novel multi-period alternating current optimal power flow (ACOPF) formulation that accurately models both nonlinear electric power flow physics and the primary and secondary frequency response of generator control mechanisms. We develop a distributedparallel Julia package for solving the large-scale nonlinear optimization problems that result from our NMPC method and thereby address realistic test instances on existing high-performance computing architectures. Our method demonstrates superior performance in terms of frequency recovery over existing industry practices, where generator levels are set based on the solution of single-period classical ACOPF models.
Nowadays, health care is the most important domain to be analyzed by technology experts to replace traditional techniques. As healthcare applications have become technology-oriented, the upcoming technologies can be i...
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The inherent computational complexity of validating and verifying concurrent systems implies a need to be able to exploit parallel and distributedcomputing architectures. We present a new distributed algorithm for st...
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ISBN:
(纸本)9781665401623
The inherent computational complexity of validating and verifying concurrent systems implies a need to be able to exploit parallel and distributedcomputing architectures. We present a new distributed algorithm for state space exploration of concurrent systems on computing clusters. Our algorithm relies on Remote Direct Memory Access (RDMA) for low-latency transfer of states between computing elements, and on state reconstruction trees for compact representation of states on the computing elements themselves. For the distribution of states between computing elements, we propose a concept of state stealing. We have implemented our proposed algorithm using the OpenSHMEM API for RDMA and experimentally evaluated it on the Grid'5000 testbed with a set of benchmark models. The experimental results show that our algorithm scales well with the number of available computing elements, and that our state stealing mechanism generally provides a balanced workload distribution.
The proceedings contain 17 papers. The topics discussed include: portable implementations of work stealing;sKokkos: enabling Kokkos with transparent device selection on heterogeneous systems using OpenACC;parallelized...
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ISBN:
(纸本)9798400708893
The proceedings contain 17 papers. The topics discussed include: portable implementations of work stealing;sKokkos: enabling Kokkos with transparent device selection on heterogeneous systems using OpenACC;parallelized remapping algorithms for km-scale global weather and climate simulations with icosahedral grid system;approximate block diagonalization of symmetric matrices using quantum annealing;QUBO formulation using inequalities for problems with complex constraints;low-latency communication in RISC-V clusters;flexible systolic array platform on virtual 2-D Multi-FPGA plane;an efficient task-parallel pipeline programming framework;and task-based low-rank hybrid parallel Cholesky factorization for distributed memory environment.
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