17,574 research outputs found
HEPCloud, a New Paradigm for HEP Facilities: CMS Amazon Web Services Investigation
Historically, high energy physics computing has been performed on large
purpose-built computing systems. These began as single-site compute facilities,
but have evolved into the distributed computing grids used today. Recently,
there has been an exponential increase in the capacity and capability of
commercial clouds. Cloud resources are highly virtualized and intended to be
able to be flexibly deployed for a variety of computing tasks. There is a
growing nterest among the cloud providers to demonstrate the capability to
perform large-scale scientific computing. In this paper, we discuss results
from the CMS experiment using the Fermilab HEPCloud facility, which utilized
both local Fermilab resources and virtual machines in the Amazon Web Services
Elastic Compute Cloud. We discuss the planning, technical challenges, and
lessons learned involved in performing physics workflows on a large-scale set
of virtualized resources. In addition, we will discuss the economics and
operational efficiencies when executing workflows both in the cloud and on
dedicated resources.Comment: 15 pages, 9 figure
QPACE 2 and Domain Decomposition on the Intel Xeon Phi
We give an overview of QPACE 2, which is a custom-designed supercomputer
based on Intel Xeon Phi processors, developed in a collaboration of Regensburg
University and Eurotech. We give some general recommendations for how to write
high-performance code for the Xeon Phi and then discuss our implementation of a
domain-decomposition-based solver and present a number of benchmarks.Comment: plenary talk at Lattice 2014, to appear in the conference proceedings
PoS(LATTICE2014), 15 pages, 9 figure
Online Estimation of Battery Lifetime for Wireless Sensors Network
Battery is a major hardware component of wireless sensor networks. Most of
them have no power supply and are generally deployed for a long time.
Researches have been done on battery physical model and their adaptation for
sensors. We present an implementation on a real sensor operating system and how
architectural constraints have been assumed. Experiments have been made in
order to test the impact of some parameter, as the application throughput, on
the battery lifetime
Three Dimensional Pseudo-Spectral Compressible Magnetohydrodynamic GPU Code for Astrophysical Plasma Simulation
This paper presents the benchmarking and scaling studies of a GPU accelerated
three dimensional compressible magnetohydrodynamic code. The code is developed
keeping an eye to explain the large and intermediate scale magnetic field
generation is cosmos as well as in nuclear fusion reactors in the light of the
theory given by Eugene Newman Parker. The spatial derivatives of the code are
pseudo-spectral method based and the time solvers are explicit. GPU
acceleration is achieved with minimal code changes through OpenACC
parallelization and use of NVIDIA CUDA Fast Fourier Transform library (cuFFT).
NVIDIAs unified memory is leveraged to enable over-subscription of the GPU
device memory for seamless out-of-core processing of large grids. Our
experimental results indicate that the GPU accelerated code is able to achieve
upto two orders of magnitude speedup over a corresponding OpenMP parallel, FFTW
library based code, on a NVIDIA Tesla P100 GPU. For large grids that require
out-of-core processing on the GPU, we see a 7x speedup over the OpenMP, FFTW
based code, on the Tesla P100 GPU. We also present performance analysis of the
GPU accelerated code on different GPU architectures - Kepler, Pascal and Volta
An Android-Based Mechanism for Energy Efficient Localization Depending on Indoor/Outdoor Context
Today, there is widespread use of mobile applications that take advantage of a user\u27s location. Popular usages of location information include geotagging on social media websites, driver assistance and navigation, and querying nearby locations of interest. However, the average user may not realize the high energy costs of using location services (namely the GPS) or may not make smart decisions regarding when to enable or disable location services-for example, when indoors. As a result, a mechanism that can make these decisions on the user\u27s behalf can significantly improve a smartphone\u27s battery life. In this paper, we present an energy consumption analysis of the localization methods available on modern Android smartphones and propose the addition of an indoor localization mechanism that can be triggered depending on whether a user is detected to be indoors or outdoors. Based on our energy analysis and implementation of our proposed system, we provide experimental results-monitoring battery life over time-and show that an indoor localization method triggered by indoor or outdoor context can improve smartphone battery life and, potentially, location accuracy
The archive solution for distributed workflow management agents of the CMS experiment at LHC
The CMS experiment at the CERN LHC developed the Workflow Management Archive
system to persistently store unstructured framework job report documents
produced by distributed workflow management agents. In this paper we present
its architecture, implementation, deployment, and integration with the CMS and
CERN computing infrastructures, such as central HDFS and Hadoop Spark cluster.
The system leverages modern technologies such as a document oriented database
and the Hadoop eco-system to provide the necessary flexibility to reliably
process, store, and aggregate (1M) documents on a daily basis. We
describe the data transformation, the short and long term storage layers, the
query language, along with the aggregation pipeline developed to visualize
various performance metrics to assist CMS data operators in assessing the
performance of the CMS computing system.Comment: This is a pre-print of an article published in Computing and Software
for Big Science. The final authenticated version is available online at:
https://doi.org/10.1007/s41781-018-0005-
MODIS Information, Data, and Control System (MIDACS) system specifications and conceptual design
The MODIS Information, Data, and Control System (MIDACS) Specifications and Conceptual Design Document discusses system level requirements, the overall operating environment in which requirements must be met, and a breakdown of MIDACS into component subsystems, which include the Instrument Support Terminal, the Instrument Control Center, the Team Member Computing Facility, the Central Data Handling Facility, and the Data Archive and Distribution System. The specifications include sizing estimates for the processing and storage capacities of each data system element, as well as traffic analyses of data flows between the elements internally, and also externally across the data system interfaces. The specifications for the data system, as well as for the individual planning and scheduling, control and monitoring, data acquisition and processing, calibration and validation, and data archive and distribution components, do not yet fully specify the data system in the complete manner needed to achieve the scientific objectives of the MODIS instruments and science teams. The teams have not yet been formed; however, it was possible to develop the specifications and conceptual design based on the present concept of EosDIS, the Level-1 and Level-2 Functional Requirements Documents, the Operations Concept, and through interviews and meetings with key members of the scientific community
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