[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Liu et al., 2016 - Google Patents

A Spark-based parallel simulation approach for repairable system

Liu et al., 2016

View PDF
Document ID
8771900528682664025
Author
Liu Y
Ren Y
Liu L
Li Z
Publication year
Publication venue
2016 Annual Reliability and Maintainability Symposium (RAMS)

External Links

Snippet

Fault-tree analysis is a useful analytic tool for the reliability and safety of complex system. However, fault tree is not suitable for repairable system. In this paper, we will propose a new method called TTF (time to failure) and TTM (time to maintenance) to analyze repairable …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for programme control, e.g. control unit
    • G06F9/06Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5061Partitioning or combining of resources
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for programme control, e.g. control unit
    • G06F9/06Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46Multiprogramming arrangements
    • G06F9/48Programme initiating; Programme switching, e.g. by interrupt
    • G06F9/4806Task transfer initiation or dispatching
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for programme control, e.g. control unit
    • G06F9/06Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/30Arrangements for executing machine-instructions, e.g. instruction decode
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5086Mechanical design, e.g. parametric or variational design
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/07Error detection; Error correction; Monitoring responding to the occurence of a fault, e.g. fault tolerance
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/02Knowledge representation
    • G06N5/022Knowledge engineering, knowledge acquisition
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F7/00Methods or arrangements for processing data by operating upon the order or content of the data handled
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F15/00Digital computers in general; Data processing equipment in general
    • G06F15/76Architectures of general purpose stored programme computers
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F15/00Digital computers in general; Data processing equipment in general
    • G06F15/16Combinations of two or more digital computers each having at least an arithmetic unit, a programme unit and a register, e.g. for a simultaneous processing of several programmes
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F2217/00Indexing scheme relating to computer aided design [CAD]
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F8/00Arrangements for software engineering
    • G06F8/40Transformations of program code

Similar Documents

Publication Publication Date Title
Kim et al. Strads: A distributed framework for scheduled model parallel machine learning
US20220101170A1 (en) Numerical quantum experimentation
JP4988789B2 (en) Simulation system, method and program
US20130198426A1 (en) Heterogeneous parallel systems for accelerating simulations based on discrete grid numerical methods
Gong et al. Improving HW/SW adaptability for accelerating CNNs on FPGAs through a dynamic/static co-reconfiguration approach
Sooknanan et al. GPU computing using CUDA in the deployment of smart grids
Rico-Garcia et al. Comparison of high performance parallel implementations of tlbo and jaya optimization methods on manycore gpu
Ma et al. Multidimensional parallel dynamic programming algorithm based on spark for large-scale hydropower systems
Oluwasakin et al. Minimization of high computational cost in data preprocessing and modeling using MPI4Py
Waidyasooriya et al. Architecture of an FPGA accelerator for molecular dynamics simulation using OpenCL
Liu et al. A Spark-based parallel simulation approach for repairable system
Ramamonjisoa et al. Simulation of asynchronous iterative algorithms using simgrid
Siládi et al. Adapted parallel Quine-McCluskey algorithm using GPGPU
Huang et al. A novel multi-CPU/GPU collaborative computing framework for SGD-based matrix factorization
Wu Research on the development and application of parallel programming technology in heterogeneous systems
Lee et al. Empirical investigation of stale value tolerance on parallel RNN training
Khan et al. Analyzing the Implementation of the Newton Raphson Based Power Flow Formulation in CPU+ GPU Computing Environment
Rauch et al. Dynamic load balancing for CAFE multiscale modelling methods for heterogeneous hardware infrastructure
Maroosi et al. Improved implementation of simulation for membrane computing on the graphic processing unit
Balasaheb et al. Performance improvement of parallel programming model based on parameterized pipelined Map Reduce approach
Kumar Distributed Execution of Dask on HPC: A Case Study
Karami et al. Thread-level parallelism in fault simulation of deep neural networks on multi-processor systems
Magaña-Lemus et al. Periodic steady state solution of power systems by selective transition matrix identification, LU decomposition and graphic processing units
Liu et al. An Efficient Hierarchical-Reduction Architecture for Aggregation in Route Travel Time Estimation
Mani et al. Balanced block design architecture for parallel computing in mobile cpus/gpus