High Performance Computing
Disk system architectures for high performance computing
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ABSTRACT: Because of the mismatch between I/O and CPU speeds, high performance computers have long been forced to confront the fundamental I/O bottleneck. As processing power and memory size continue to grow rapidly for micro and mini computers, they too
High performance computing
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Computational science, the use of advanced computing capabilities to understand and verify complex problems, has become crucial to scientific research, economic competiveness, and national security. Parallel computing is one of the most important fields in computational
High-Performance Computing
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US DEPARTMENT OF ENERGY CCSThe Center for Computational Sciences High-Performance ComputingWhere are weWhere have we beenCCSThe Center for Computational Sciences High-Performance ComputingWhere are weWhere have we been
High Performance Computing
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University of Hyderabad Research Trends in High Performance Computing by Rajeev Wankar Why do we need High Performance Computing Numerical Simulation for complex problems: This is the joint post-proceedings of the 6th International Symposium on High Performance Computingand the First International Workshop on Advanced Low Power Systems 2006 (ALPS2006). The post-proceedings also contain the papers presented at
High Performance Computing
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As an unavoidable consequence of lift aircraft generate a pair of counter-rotating and long- lived wake vortices that pose a potential risk to following aircraft. The prescribed aircraft separations during landing to avoid wake vortex hazards contribute significantly to The Cray supercomputer HERMIT installed in October 2011 is still the working horse at HLRS. It is a large Cray XE-6 with a peak speed of more than 1 PFLOP/s, based on the AMD Interlagos chip with overall more than 113,000 cores, integrated into 38 water-cooled
High Performance Computing
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Algorithms that find good partitionings of irregular graphs are critical for the efficient execution of scientific simulations on high performance parallel computers. In these simulations, computation is performed iteratively on each element (and/or node) of a
A scalable high-performance computing solution for networks on chips
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ABSTRACT< p> The Eclipse network-on-a-chip architecture uses a sophisticated parallel programming model, realized through multithreaded processors, interleaved memory modules, and a high-capacity interconnection network to support system-on-a-chip
High Performance Computing
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Page 1. High Performance Computing Selected topics in shared-memory parallelization G. Hager, G. Wellein Regionales Rechenzentrum Erlangen W. u. E. Heraeus Summerschool on Computational Many Particle Physics Sep 18-29, Greifswald, Germany Page 2.
High Performance Computing
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The quest to capture and manipulate the world in digital form began when the first vacuum tube computers were used to calculate trajectories and crack codes. Viewed through today's technology, these problems seem trivial and could easily be solved on your cell phone
Case frame compilation from the web using high-performance computing
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Abstract Case frames are important knowledge for a variety of NLP systems, especially when wide-coverage case frames are available. To acquire such large-scale case frames, it is necessary to automatically compile them from an enormous amount of corpus. In this
Automatic detection of parallelism: A grand challenge for high-performance computing
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B 7e limited ability of compilers to find the parallelism in programs is a significant barrier to the use of higbperformance computers. However, a combination of static and runtime techniques can improve compilers to the extent that a significant group of scientific
HIGH-PERFORMANCE COMPUTING
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Design your next custom configuration with techs who speak HPC. Rely on our integration expertise for complete and thorough testing of your workstations, turnkey clusters and servers. Whether you require Linux or Windows, CUDAor OpenACC, Tesla or Quadro,
High performance computing
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It is extremely important to notice the subtitle of this book. Although the author sometimes mentions other types of computer architectures and related software issues, the book's major focus is on RISC-based high-performance computing. Given this restriction the author Lattice quantum chromodynamics (QCD) calculations were one of the first applications to demonstrate the potential of GPUs in the area of high-performance computing. This article covers ways to effectively use GPUs for lattice calculations via the overlap operator, a
high performance computing engineering research papers 2014
HIGH-PERFORMANCE COMPUTING
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Design your next custom configuration with techs who speak HPC. Rely on our integration expertise for complete and thorough testing of your workstations, turnkey clusters and servers. Whether you require Linux or Windows, CUDAor OpenACC, Tesla or Quadro,
High performance computing enabling exhaustive analysis of higher order single nucleotide polymorphism interaction in Genome Wide Association Studies
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Abstract Genome-wide association studies (GWAS) are a common approach for systematic discovery of single nucleotide polymorphisms (SNPs) which are associated with a given disease. Univariate analysis approaches commonly employed may miss important SNP
High Performance Computing in Science and Engineering'14
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It is a pleasure to announce that after the installation of the IBM Blue Gene/P at NIC/JSC in May 2009, as part of the Gauss Centre for Supercomputing (GCS)–linking together the three national supercomputing centres HLRS (Stuttgart), NIC/JSC (Jülich), and LRZ (Garching)–
Decoupled I/O for Data-Intensive High Performance Computing
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Data nodes and compute nodes are at the same level belonging to two groups mpirun-np n- dp mf hostfile./app to run an application with n compute processes and m data processes All of them belong to the MPI COMM WORLD communicator with distinguished rank Each
Applying High Performance Computing to Multi-Area Stochastic Unit Commitment for Renewable Energy Integration
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Abstract We present a parallel implementation of a Lagrangian relaxation algorithm for solving stochastic unit commitment subject to uncertainty in wind power supply and generator and transmission line failures. We present a scenario selection algorithm
PERFORMANCE-BASED SEISMIC DESIGN OF BRIDGES USING HIGH PERFORMANCE COMPUTING TOOLS
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ABSTRACT This paper shows how the Performance-based Design (PBD) of bridges is facilitated by taking advantage of recent developments in parallel and cloud computing. In order to have a realistic assessment of the performance of a bridge subjected to severe
High performance computing studies of RNA nanotubes
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Abstract. Based on the previous studies of RNA nanorings, in this contribution we computationally analyze the structure and properties of RNA nanotubes, where we focus on nanotubes consisting of up to five nanorings of around 20nm in diameter. We have
Simulation and Optimization as Modular Tasks within a Framework on High-Performance-Computing-Platforms
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Abstract In the context of the project „Effizienter Flughafen 2030 separate, autarkic models simulating the different processes at an airport have been coupled to build an integrative over-all model. For scenario analysis and to identify the relevant model parameters for the
Reduced basis methods and high performance computing. Applications to non-linear multi-physics problems
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Provide a rapid prototyping framework using the Feel++ language for the standard finite/spectral element methodsProvide interfaces to various open" mathematical"
Fault tolerance techniques for high-performance computing
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Abstract This report provides an introduction to resilience methods. The emphasis is on checkpointing, the de-facto standard technique for resilience in High Performance Computing. We present the main two protocols, namely coordinated check pointing and
Interactive comment on Calibration approaches for distributed hydrologic models using high performance computing: implication for stream flow projections
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The manuscript investigates alternative parameterization and calibration approaches for a conceptual hydrological model, aiming to represent streamflows at multiple sites across a large-scale river basin in Afghanistan. In particular, three different parameterization
An overview of topology mapping algorithms and techniques in high-performance computing
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Due to the advent of modern hardware architectures of high-performance computers, the way the parallel applications are laid out is of paramount importance for performance. This chapter surveys several techniques and algorithms that efficiently address this issue: the
Study of High Performance Computing Activation Strategy.
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Abstract High Performance Computer (also called" supercomputer") is a computer which can process the complex and large-scale operation in computational science. In general, High Performance Computer represents the top 500 computers which is based on the computer Ongoing research towards specifications and designs for prospective Exascale systems highlights daunting challenges: billion-way parallelism, more levels of parallelism, a very low memory per core ratio, potential for mean-time-betweenfailures of less than a day,
Backward Differentiation Formulas for the time discretization of the Navier–Stokes equations with VMS–LES modeling in an High Performance Computing framework
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In this work, we consider the incompressible Navier–Stokes equations with Variational Multiscale–LES (VMS–LES) modelling of turbulence [1], with the focus being on their time discretization by means of a semi–implicit approach. We spatially approximate the Background There is a strong need for an accurate hand-eye calibration. The reasons are twofold:(i) to map sensor-centered measurements into the robot-world coordinate and (ii) to allow for an accurate prediction of the pose of the sensor on the basis of the arm motion–
target 2017
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1 Executive Summary The National Energy Research Scientific Computing Center (NERSC) is the primary computing center for the DOE Office of Science, serving approximately 4,500 users working on some 650 projects that involve nearly 600 codes in a wide variety of
High performance computing for a financial application using fast fourier transform
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Abstract: Fast Fourier Transform (FFT) has been used in many scientific and engineering applications. In the current study, we have applied the FFT for a novel application in finance. We have improved a mathematical model of Fourier transform technique for pricing
High Performance Computing-Power Application Programming Interface Specification Version 1.0
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Abstract Measuring and controlling the power and energy consumption of high performance computing systems by various components in the software stack is an active research area [1 3, 3, 5, 10, 4, 21, 19, 16, 7, 17, 20, 18, 11, 1, 6, 14, 12]. Implementations in lower level
Reproducible and Accurate Matrix Multiplication for High-Performance Computing
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The increasing power of current computers enables one to solve more and more complex problems. This, therefore, requires to perform a high number of floating-point operations, each one leading to a roundoff error. Because of round-off error propagation, some
Study on the Key Technology for Establishing a Cloud Platform-Oriented Digital Oilfield Based on High-performance Computing
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ABSTRACT: This study aims to overcome the principal problems in the current information- support–platformoriented digital oilfield. These problems include a low utilization efficiency of the software and hardware resources, the high maintenance cost of the system, and
A High Performance Computing Scheduling and Resource Management Primer
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This document was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor Lawrence Livermore National Security, LLC, nor any of their employees makes any warranty, expressed or implied, or
A Dynamic Virtual Machine Allocation Technique Using Network Resource Contention for aHigh-performance Virtualized Computing Cloud
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Abstract Virtualized Computing Cloud (VCC) is a well-known resource-provisioning and computing environment due to advantages such as maximized resource utilization, isolated performance, and customizable runtimes. Therefore, recently, VCC has been increasingly
Towards Supporting Data-Intensive Scientific Applications on Extreme-Scale High-Performance Computing Systems
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Abstract Many believe that the state-of-the-art yet decades old high-performance computing (HPC) storage would not meet the I/O requirement of the emerging exascale mainly due to the segregation of compute and storage resources. Indeed, our simulation predicts,
A Reproducible Accurate Summation Algorithm for High-Performance Computing
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High Performance Computing based on embedded processors
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http://www.montblanc-project.eu 4th September, 2014 ACAT 2014 Prague High Performance Computing based on embedded processors Filippo Mantovani Barcelona Supercomputing Center Page 2. 4th September 2014 ACAT 2014 Prague 2 Mont-Blanc project goals
High-Performance Computing on the Web: Extending UNICORE with RESTful Interfaces
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Abstract:UNICORE (UNiform Interface to COmputing RE-sources) is a Grid middleware for accessing high-performance computing capabilities and storage resources in a secure and seamless fashion. In its current version (7.0), it offers web services using SOAP (Simple
HPGMG 1.0: a benchmark for ranking high performance computing systems
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Abstract: This document provides an overview of the benchmark HPGMG for ranking large scale general purpose computers for use on the Top500 list [8]. We provide a rationale for the need for a replacement for the current metric HPL, some background of the Top500 list
SupraBiology 2014: Promoting UK-China collaboration on Systems Biology and High Performance Computing
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Systems Biology is an interdisciplinary field that studies the complex interactions occurring within biological systems, and how such interactions give rise to the emergent properties of life. Systems Biology deals with overwhelming amounts of data, harvested through
Exercises on High Performance Computing Block 1: Memory Hierarchy
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Page 1. Exercises on High Performance Computing Block 1: Memory Hierarchy S. Hunold, JL Träff, and F. Versaci Parallel Computing Group TU Wien 27th June 2014 Generalities Instructions. There will be four blocks of exercises
High performance computing of fiber scattering simulation
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Page 1. HIGH PERFORMANCE COMPUTING OF FIBER SCATTERING SIMULATION Leiming Yu, Yan Zhang, Xiang Gong, Nilay Roy, Lee Makowski and David Kaeli Northeastern University Boston, MA GPGPU-8 February, 2015 San Francisco, CA Page 2. Topics
The Impact of High-Performance Computing Best Practice Applied to Next-Generation Sequencing Workflows
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Abstract:High Performance Computing (HPC) Best Practice offers opportunities to implement lessons learned in areas such as computational chemistry and physics in genomics workflows, specifically Next-Generation Sequencing (NGS) workflows. In this
PhD Thesis DualSPHysics: Towards High Performance Computing using SPH technique
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Abstract Smoothed Particle Hydrodynamics (SPH) is a numerical method commonly used in Computational Fluid Dynamics (CFD). SPH is an ideal technique to simulate free-surface flows. Its range of application is very wide, including sloshing and flooding events, the
HIGH PERFORMANCE COMPUTING PLATFORM FOR PERFORMANCE-BASED SEISMIC ASSESSMENT AND RETROFIT OF MID-RISE BUILDINGS IN
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ABSTRACT The Ministry of Education of British Columbia (MOE) is currently implementing state-of-the-art guidelines for the seismic assessment and retrofit of over 750 provincial schools. The current edition of the guidelines;Seismic Retrofit Guidelines 2nd Edition (
An algorithm for MD5 single-block collision attack using high-performance computingcluster
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Abstract. The parallel algorithm and its implementation for performing a single-block collision attack on MD5 are described. The algorithm is implemented as MPI program based upon the source code of Dr Marc Stevens' collision search sequential program. In this
Storage Support for Data-Intensive Applications on Large Scale High-Performance Computing Systems
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Abstract Many believe that the state-of-the-art yet decades old high-performance computing (HPC) storage would not meet the I/O requirement of the emerging exascale mainly due to the segregation of compute and storage resources. Indeed, our simulation predicts,
A High Performance Computing Platform for Performing High-Volume Studies with Windows-based Power Grid Tools
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Abstract: Serial Windows-based programs are widely used in power utilities. For applications that require high-volume simulations, the sequential runtime can be in the order of days or weeks. The lengthy runtime, along with the availability of low-cost hardware, is
Approach to Utilizing High-performance Computing at HPC Wales
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HPC Wales has been providing high-performance computing (HPC) infrastructure to target domains for future business development, research innovation and nurturing of human resources. This project is carried out by HPC Wales in
High Performance Computing with Applications in R
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Consider Moore's law: number of transistors on a chip doubles every 18 months. Until recently this corresponded to a speed increase at about the same rate. However, speed per processing unit has remained flat because of: heat power consumption
Energy Performance Testing of Asetek's RackCDU System at NREL's High Performance Computing Data Center
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Abstract In this study, we report on the first tests of Asetek's RackCDU direct-to-chip liquid cooling system for servers at NREL's ESIF data center. The system was simple to install on the existing servers and integrated directly into the data center's existing hydronics system
High-Performance Computing of Periodic Unsteady Flow Based on Time Spectral Method
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Abstract The engineering application requires the solver of periodic unsteady flows to be of high efficiency and precision. Based on the developing Frequency-Domain methods, a fully implicit version of the Time Spectral Method (TSM) is established, the stability problem that
Virtualization benefits in High Performance Computing Applications
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Abstract Virtualization is not a new computer technology in this age. It was developed by IBM in 1960's. Virtualization was used to access the pricey resources of mainframe computers. Furthermore it conceals the computer resources from the operating system. Since
A High-performance Computing Toolset for Big Data Analysis of Genome-Wide Variants
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2 Background Today thousands of gigabyte-size data sets are challenging scientists in the management of big data, diverse types of data, and complex data relationships even on well- equipped hardware. In information technology,big data usually refers to a collection of
High-Performance Computing Strategies for Complex Engineering Optimization Problems
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An integrated route assessment approach based on cloud model is proposed in this paper, where various sources of uncertainties are well kept and modeled by cloud theory. Firstly, a systemic criteria framework incorporating models for scoring subcriteria is developed.
Interactive comment on Calibration approaches for distributed hydrologic models using high performance computing: implication for streamflow projections
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We would like to thank the editor, Dr. Efrat Morin, and the two referees, Dr. Andreas Efstratiadis and an anonymous reviewer, for their constructive suggestions on our manuscript. The comments greatly improved our manuscript. Please find detailed answers
Developing High Performance Computing Resources for Teaching Cluster and GridComputing courses
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High-Performance Computing (HPC) and the ability to process large amounts of data are of paramount importance for UK business and economy as outlined by Rt Hon David Willetts MP at the HPC and Big Data conference in February 2014. However there is a shortage of
Using High Performance Computing to enable interactive design of measures to improve water quality and ecological state of Lake Marken
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Lakes: The Mirrors of the Earth BALANCING ECOSYSTEM INTEGRITY AND HUMAN WELLBEING 216 Using High Performance Computing to enable interactive design of measures to improve water quality and ecological state of Lake Marken J. Donners1, M. Genseberger2, B.
Automatic Performance Engineering Workflows for High Performance Computing
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Abstract During the typical performance engineering process, application developers must often complete multiple iterative tasks to get an in-depth runtime profile of their application in order to identify new optimization opportunities and implement an effective tuning strategy.
Terra: A Multi-Stage Language for High-Performance Computing
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Abstract Writing high-performance code is a work-intensive process. Often, performance- optimized code is difficult to maintain, difficult to modify, and dependent on architecture specific properties for its performance. Using code generation can ease this burden. By
Rhpc: An R package for High-Performance Computing
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The Institute of Statistical Mathematics possesses three supercomputers. Their types are all different: a shared memory system, a distributed memory system and a cloud system. We hope to use R on them efficiently. For this purpose, we have developed a package Rhpc, As described in the previous chapters, the thermo-hydro-mechanical/chemical (THMC) processes or their coupling in porous media within a specified domain can be described by partial differential equations (PDEs) for numerical modeling. Normally in real applications,
Simulation of the Software Dened Network for a High Performance Computing Cluster
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Abstract: The study considers the issues of using the software-defined networks, the current state of the research trends in this area and the most significant projects. The simulation of a high performance computer network for increase in the performance of the university
Applications, The International Journal of Supercomputer Applications and High-Performance Computing, and The International Journal of High Performance
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Nelson HF Beebe University of Utah Department of Mathematics, 110 LCB 155 S 1400 E RM 233 Salt Lake City, UT 84112-0090 USAE-mail: beebe@math.utah.edu,
High-level Abstractions for Performance, Portability and Continuity of Scientific Software on Future Computing Systems-CloverLeaf 3D
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Abstract In this report we present research in re-engineering the 3D version of the CloverLeaf hydrodynamics application to utilize the OPS domain specific high-level abstraction framework. This work follows on from our previous work on the 2D version of
High-level Abstractions for Performance, Portability and Continuity of Scientific Software on Future Computing Systems
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Abstract In this report we present research on applying a domain specific high-level abstractions development strategy with the aim to future-proof a key class of high performance computing (HPC) applications that simulate hydro-dynamics computations at
QuickSOFI: High-Performance Superresolution Optical Fluctuation Imaging (SOFI) Plugin for ImageJ Using GPU Computing
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Abstract: The field of superresolution microscopy holds the potential to truly visualise biological samples at the molecular scale–at resolution as low as 10nm, 20-fold greater than conventional microscopes. However these methods are still hindered by the need of large
High Performance Scientific Computing@ cs. pub. ro
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Abstract In this talk we will give an overview of the High Performance Scientific Computing activities that are currently taking place at the Computer Science and Engineering of the University Politehnica of Bucharest, Romania. In particular, we will present applications
High-performance computing in oil recovery simulation based on CUDA
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Abstract. In this paper the oil recovery problem and its parallel realization using CUDA architecture are considered. Results of calculation accelerations on video cards GeForce GTX 560 and GeForce 240 are presented. The factors affecting speed-up on GPU are
THE SEQUENCE ALIGNMENT BY NEEDLEMAN-WUNSCH ALGORITHM ON TO REDUCE COMPUTATIONAL TIME VIA HIGH PERFORMANCE COMPUTING
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ABSTRACT In accumulation to the old fashioned vastly parallel computers, distributed computer terminal clusters nowadays play an significant role in systematic calculating perhaps due to the introduction of article of trade high performance workstations, low
The Impact of Virtualization on High Performance Computing Clustering in the Cloud
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Abstract The ongoing pervasiveness of Internet access is largely increasing big data production. This, in turn, increases demand on compute power to process the massive data,
A Parallel Computing-a Paradigm to achieve High Performance
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Abstract-Over last few years there has been rapid changes found in computing field. today, we are using the latest upgrade system which provides the faster output and high performance. User view towards computing is only to get the correct and fast result. There
AgrosphereCentre for High-Performance Scientific Computing in Terrestrial Systems (HPSC
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Abstract Continental-scale hyper-resolution simulations constitute a grand challenge in characterizing non-linear feedbacks of states and fluxes of the coupled water, energy, and bio geochemical cycles of terrestrial systems. Tackling this challenge requires advanced
High Performance Computing Operations Review Report
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This document was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor Lawrence Livermore National Security, LLC, nor any of their employees makes any warranty, expressed or implied, or
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