The Experts below are selected from a list of 25890 Experts worldwide ranked by ideXlab platform

P Schilke - One of the best experts on this subject based on the ideXlab platform.

  • extended casa line analysis software suite xclass
    Astronomy and Astrophysics, 2017
    Co-Authors: T Moller, Christian P Endres, P Schilke
    Abstract:

    The eXtended CASA Line Analysis Software Suite (XCLASS) is a toolbox for the Common Astronomy Software Applications package (CASA) containing new functions for modeling interferometric and single dish data. Among the tools is the myXCLASS program which calculates synthetic spectra by solving the radiative transfer equation for an isothermal object in one dimension, whereas the finite source size and dust attenuation are considered as well. Molecular data required by the myXCLASS program are taken from an embedded SQLite3 database containing entries from the Cologne Database for Molecular Spectroscopy (CDMS) and JPL using the Virtual Atomic and Molecular Data Center (VAMDC) portal. Additionally, the toolbox provides an Interface for the model optimizer package Modeling and Analysis Generic Interface for eXternal numerical codes (MAGIX), which helps to find the best description of observational data using myXCLASS (or another external model program), that is, finding the parameter set that most closely reproduces the data.

  • extended casa line analysis software suite xclass
    arXiv: Instrumentation and Methods for Astrophysics, 2015
    Co-Authors: T Moller, Christian P Endres, P Schilke
    Abstract:

    The eXtended CASA Line Analysis Software Suite (XCLASS) is a toolbox for the Common Astronomy Software Applications package (CASA) containing new functions for modeling interferometric and single dish data. Among the tools is the myXCLASS program which calculates synthetic spectra by solving the radiative transfer equation for an isothermal object in one dimension, whereas the finite source size and dust attenuation are considered as well. Molecular data required by the myXCLASS program are taken from an embedded SQLite3 database containing entries from the Cologne Database for Molecular Spectroscopy CDMS) and JPL using the Virtual Atomic and Molecular Data Center (VAMDC) portal. Additionally, the toolbox provides an Interface for the model optimizer package Modeling and Analysis Generic Interface for eXternal numerical codes (MAGIX), which helps to find the best description of observational data using myXCLASS (or another external model program), i.e., finding the parameter set that most closely reproduces the data.

  • modeling and analysis Generic Interface for external numerical codes magix
    arXiv: Instrumentation and Methods for Astrophysics, 2012
    Co-Authors: T Moller, I Bernst, D Panoglou, D Muders, V Ossenkopf, M Rollig, P Schilke
    Abstract:

    The modeling and analysis Generic Interface for external numerical codes (MAGIX) is a model optimizer developed under the framework of the coherent set of astrophysical tools for spectroscopy (CATS) project. The MAGIX package provides a framework of an easy Interface between existing codes and an iterating engine that attempts to minimize deviations of the model results from available observational data, constraining the values of the model parameters and providing corresponding error estimates. Many models (and, in principle, not only astrophysical models) can be plugged into MAGIX to explore their parameter space and find the set of parameter values that best fits observational/experimental data. MAGIX complies with the data structures and reduction tools of ALMA (Atacama Large Millimeter Array), but can be used with other astronomical and with non-astronomical data.

Anant Agarwal - One of the best experts on this subject based on the ideXlab platform.

  • application heartbeats a Generic Interface for specifying program performance and goals in autonomous computing environments
    International Conference on Autonomic Computing, 2010
    Co-Authors: Henry Hoffmann, Jonathan Eastep, Marco D Santambrogio, Jason E Miller, Anant Agarwal
    Abstract:

    The rise of multicore computing has greatly increased system complexity and created an additional burden for software developers. This burden is especially troublesome when it comes to optimizing software on modern computing systems. Autonomic or adaptive computing has been proposed as one method to help application programmers handle this complexity. In an autonomic computing environment, system services monitor applications and automatically adapt their behavior to increase the performance of the applications they support. Unfortunately, applications often run as performance black-boxes and adaptive services must infer application performance from low-level information or rely on system-specific ad hoc methods. This paper proposes a standard framework, Application Heartbeats, which applications can use to communicate both their current and target performance and which autonomic services can use to query these values. The Application Heartbeats framework is designed around the well-known idea of a heartbeat. At important points in the program, the application registers a heartbeat. In addition, the Interface allows applications to express their performance in terms of a desired heart rate and/or a desired latency between specially tagged heartbeats. Thus, the Interface provides a standard method for an application to directly communicate its performance and goals while allowing autonomic services access to this information. Thus, Heartbeat-enabled applications are no longer performance black-boxes. This paper presents the Applications Heartbeats Interface, characterizes two reference implementations (one suitable for clusters and one for multicore), and illustrates the use of Heartbeats with several examples of systems adapting behavior based on feedback from heartbeats.

  • application heartbeats a Generic Interface for expressing performance goals and progress in self tuning systems
    Workshop on Statistical and Machine learning approaches to ARchitectures and compilaTion SMART 2010, 2010
    Co-Authors: H Homann, Jonathan Eastep, Marco D Santambrogio, Jason Miller, Anant Agarwal
    Abstract:

    Self-tuning, self-aware, or adaptive computing has been proposed as one method to help application programmers confront the growing complexity of multicore software development. Such systems have been proposed for architectures, compilers, and operating systems to ease the application programmer’s burden by providing services that automatically customize to meet the needs of the application. However, these systems often rely on ad hoc methods for understanding and monitoring an application and thus struggle to incorporate the true performance goals of the applications they are designed to support. This paper presents the Application Heartbeats API which addresses the need to provide a standardized Interface for applications to communicate with supportive adaptive systems. The Application Heartbeats framework provides a simple, standard programming Interface that applications can use to indicate their performance and which system software can use to query that performance. Several experiments demonstrate the simplicity and efficacy of the Application Heartbeat approach.

K D Wise - One of the best experts on this subject based on the ideXlab platform.

  • a Generic Interface chip for capacitive sensors in low power multi parameter microsystems
    Sensors and Actuators A-physical, 2000
    Co-Authors: N Yazdi, Andrew J Mason, K Najafi, K D Wise
    Abstract:

    Abstract This paper presents a Generic low-power sensor Interface chip compatible with smart microsystems and a wide range of capacitive transducers. The Interface chip is highly programmable, can communicate with an external microcontroller using a nine-line sensor bus standard, contains a switched-capacitor readout circuit, supports sensor self-test, and includes a temperature sensor. The circuit can Interface with up to six external sensors and contains three internal programmable reference capacitors in the range of 0.15–8 pF. The chip measures 3.2×3.2 mm in a standard 3-μm single-metal double-poly p-well process, dissipates less than 2.2 mW from a single 5 V supply, and can resolve input capacitance variations of less than 1 fF in 10 Hz bandwidth.

  • programmable mixed voltage sensor readout circuit and bus Interface with built in self test
    International Solid-State Circuits Conference, 1999
    Co-Authors: A V Chavan, Andrew J Mason, Uksong Kang, K D Wise
    Abstract:

    As integrated sensors and microactuators are combined with embedded microcontrollers to form microsystems, there is an increasing need for highly-accurate Interface circuits to provide the transducers with bus compatibility, programmable control, and self-test. Several readout circuits for capacitive sensors have been reported recently, including a Generic Interface that has been used extensively in a multi-element microsystem. This paper reports a bus-compatible Interface chip that introduces several additional features, including a programmable mixed-signal mixed-voltage switched-capacitor (SC) read-out circuit with self-test and on-line calibration capabilities. This 4.5/spl times/4.5 mm/sup 2/ chip is in a 1 /spl mu/m n-well BiCMOS 2P/2M process with high-voltage CMOS, large-value resistor, and nonvolatile memory options.

T Moller - One of the best experts on this subject based on the ideXlab platform.

  • extended casa line analysis software suite xclass
    Astronomy and Astrophysics, 2017
    Co-Authors: T Moller, Christian P Endres, P Schilke
    Abstract:

    The eXtended CASA Line Analysis Software Suite (XCLASS) is a toolbox for the Common Astronomy Software Applications package (CASA) containing new functions for modeling interferometric and single dish data. Among the tools is the myXCLASS program which calculates synthetic spectra by solving the radiative transfer equation for an isothermal object in one dimension, whereas the finite source size and dust attenuation are considered as well. Molecular data required by the myXCLASS program are taken from an embedded SQLite3 database containing entries from the Cologne Database for Molecular Spectroscopy (CDMS) and JPL using the Virtual Atomic and Molecular Data Center (VAMDC) portal. Additionally, the toolbox provides an Interface for the model optimizer package Modeling and Analysis Generic Interface for eXternal numerical codes (MAGIX), which helps to find the best description of observational data using myXCLASS (or another external model program), that is, finding the parameter set that most closely reproduces the data.

  • extended casa line analysis software suite xclass
    arXiv: Instrumentation and Methods for Astrophysics, 2015
    Co-Authors: T Moller, Christian P Endres, P Schilke
    Abstract:

    The eXtended CASA Line Analysis Software Suite (XCLASS) is a toolbox for the Common Astronomy Software Applications package (CASA) containing new functions for modeling interferometric and single dish data. Among the tools is the myXCLASS program which calculates synthetic spectra by solving the radiative transfer equation for an isothermal object in one dimension, whereas the finite source size and dust attenuation are considered as well. Molecular data required by the myXCLASS program are taken from an embedded SQLite3 database containing entries from the Cologne Database for Molecular Spectroscopy CDMS) and JPL using the Virtual Atomic and Molecular Data Center (VAMDC) portal. Additionally, the toolbox provides an Interface for the model optimizer package Modeling and Analysis Generic Interface for eXternal numerical codes (MAGIX), which helps to find the best description of observational data using myXCLASS (or another external model program), i.e., finding the parameter set that most closely reproduces the data.

  • modeling and analysis Generic Interface for external numerical codes magix
    arXiv: Instrumentation and Methods for Astrophysics, 2012
    Co-Authors: T Moller, I Bernst, D Panoglou, D Muders, V Ossenkopf, M Rollig, P Schilke
    Abstract:

    The modeling and analysis Generic Interface for external numerical codes (MAGIX) is a model optimizer developed under the framework of the coherent set of astrophysical tools for spectroscopy (CATS) project. The MAGIX package provides a framework of an easy Interface between existing codes and an iterating engine that attempts to minimize deviations of the model results from available observational data, constraining the values of the model parameters and providing corresponding error estimates. Many models (and, in principle, not only astrophysical models) can be plugged into MAGIX to explore their parameter space and find the set of parameter values that best fits observational/experimental data. MAGIX complies with the data structures and reduction tools of ALMA (Atacama Large Millimeter Array), but can be used with other astronomical and with non-astronomical data.

Nils P. Wedi - One of the best experts on this subject based on the ideXlab platform.

  • fvm 1 0 a nonhydrostatic finite volume dynamical core for the ifs
    Geoscientific Model Development, 2019
    Co-Authors: Christian Kühnlein, Willem Deconinck, Rupert Klein, Sylvie Malardel, Piotr K. Smolarkiewicz, Joanna Szmelter, Zbigniew Piotrowski, Nils P. Wedi
    Abstract:

    Abstract. We present a nonhydrostatic finite-volume global atmospheric model formulation for numerical weather prediction with the Integrated Forecasting System (IFS) at ECMWF and compare it to the established operational spectral-transform formulation. The novel Finite-Volume Module of the IFS (henceforth IFS-FVM) integrates the fully compressible equations using semi-implicit time stepping and non-oscillatory forward-in-time (NFT) Eulerian advection, whereas the spectral-transform IFS solves the hydrostatic primitive equations (optionally the fully compressible equations) using a semi-implicit semi-Lagrangian scheme. The IFS-FVM complements the spectral-transform counterpart by means of the finite-volume discretization with a local low-volume communication footprint, fully conservative and monotone advective transport, all-scale deep-atmosphere fully compressible equations in a generalized height-based vertical coordinate, and flexible horizontal meshes. Nevertheless, both the finite-volume and spectral-transform formulations can share the same quasi-uniform horizontal grid with co-located arrangement of variables, geospherical longitude–latitude coordinates, and physics parameterizations, thereby facilitating their comparison, coexistence, and combination in the IFS. We highlight the advanced semi-implicit NFT finite-volume integration of the fully compressible equations of IFS-FVM considering comprehensive moist-precipitating dynamics with coupling to the IFS cloud parameterization by means of a Generic Interface. These developments – including a new horizontal–vertical split NFT MPDATA advective transport scheme, variable time stepping, effective preconditioning of the elliptic Helmholtz solver in the semi-implicit scheme, and a computationally efficient implementation of the median-dual finite-volume approach – provide a basis for the efficacy of IFS-FVM and its application in global numerical weather prediction. Here, numerical experiments focus on relevant dry and moist-precipitating baroclinic instability at various resolutions. We show that the presented semi-implicit NFT finite-volume integration scheme on co-located meshes of IFS-FVM can provide highly competitive solution quality and computational performance to the proven semi-implicit semi-Lagrangian integration scheme of the spectral-transform IFS.

  • FVM 1.0: a nonhydrostatic finite-volume dynamical core formulation for IFS
    2019
    Co-Authors: Christian Kühnlein, Willem Deconinck, Rupert Klein, Sylvie Malardel, Zbigniew P. Piotrowski, Piotr K. Smolarkiewicz, Joanna Szmelter, Nils P. Wedi
    Abstract:

    We present a nonhydrostatic finite-volume global atmospheric model formulation for numerical weather prediction with the Integrated Forecasting System (IFS) at ECMWF, and compare it to the established operational spectral-transform formulation. The novel Finite-Volume Module of IFS (henceforth IFS-FVM) integrates the fully compressible equations using semi-implicit time stepping and non-oscillatory forward-in-time (NFT) Eulerian advection, whereas the spectral-transform IFS solves the hydrostatic primitive equations (optionally the fully compressible equations) using a semi-implicit semi-Lagrangian scheme. The IFS-FVM complements the spectral-transform counterpart by means of the finite-volume discretisation with a local communication footprint, fully conservative and monotone advective transport, all-scale deep-atmosphere fully compressible equations in a generalised height-based vertical coordinate, applicable on flexible meshes. Nevertheless, both the finite-volume and spectral-transform formulations can share the same quasi-uniform horizontal grid with co-located arrangement of variables, geospherical longitude-latitude coordinates, and physical parametrisations, thereby facilitating their comparison, coexistence and combination in IFS. We highlight the advanced semi-implicit NFT finite-volume integration of the fully compressible equations of the novel IFS-FVM considering comprehensive moist-precipitating dynamics with coupling to the IFS cloud parametrisation by means of a Generic Interface. These developments - including a new horizontal-vertical split NFT MPDATA advective transport scheme, variable time stepping, effective preconditioning of the elliptic Helmholtz solver in the semi-implicit scheme, and a computationally efficient coding implementation - provide a basis for the efficacy of IFS-FVM and its application in global numerical weather prediction. Here, numerical experiments focus on relevant dry and moist-precipitating baroclinic instability at various resolutions. We show that the presented semi-implicit NFT finite-volume integration scheme on co-located meshes of IFS-FVM can provide highly competitive solution quality and computational performance to the proven semi-implicit semi-Lagrangian integration scheme of the spectral-transform IFS