high performance computing




High-performance computing has become indispensable for enterprises, scientific researchers, and government agencies to generate new discoveries and innovate breakthrough products and services.

Hardware accelerators for information processing in high performance computing systems
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A frequent problem in information processing is the rapid extraction and subsequent analysis of subsets of data that have to be formed from external requests supplying some filtering constraints. The subsets are composed of items that more or less (ie, not exactly)

High Performance Computing in Science and Engineering10
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It is a pleasure to announce that after the installation of the IBM Blue Gene/P at NIC/JSC in 200 as part of the Gauss Centre for Supercomputing (GCS) linking together the three national supercomputing centres HLRS (Stuttgart), NIC/JSC (Jülich), and LRZ (Garching)

Transformations of highlevel synthesis codes for high performance computing
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Specialized hardware architectures promise a major step in performance and energy efficiency over the traditional load/store devices currently employed in large scale computing systems. The adoption of highlevel synthesis (HLS) from languages such as C/C++ and

The drake R package: A pipeline toolkit for reproducibility and high performance computing
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The drake R package (Landau 2018) is a workflow manager and computational engine for data science projects. Its primary objective is to keep results up to date with the underlying code and data. When it runs a project, drake detects any pre-existing output and refreshes

IT-ecosystem of the HybriLIT heterogeneous platform for high performance computing and training of IT-specialists
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HybriLIT heterogeneous platform that is a component of the Multifunctional Information and Computing Complex (MICC) of Joint Institute for Nuclear Research. HybriLIT includes GOVORUN supercomputer and education and testing polygon; its platform is based on the

High Performance Computing
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The use and development of high-performance computing (HPC) in Latin America is steadily growing. New challenges come from the capabilities provided by clusters, grids, and distributed systems for HPC, promoting research and innovation in many scientific

A systematic mapping study of High Performance Computing and the Cloud
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Cloud computing is a paradigm that provides resources in an almost limitless way to users. High Performance Computing (HPC) involves performing computationally intense processes rapidly. Cloud computing being scalable and comparatively cheaper has the capacity to

A survey on cloud migration strategies for high performance computing
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The cloud evolved into an attractive execution environment for parallel applications from the High Performance Computing (HPC) domain. Existing research recognized that parallel applications require architectural refactoring to benefit from cloud-specific properties (most

Techniques of medical image processing and analysis accelerated by high performance computing : a systematic literature review
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Techniques of medical image processing and analysis play a crucial role in many clinical scenarios, including in diagnosis and treatment planning. However, immense quantities of data and high complexity of the algorithms often used are computationally demanding. As a

HPChain: An MPI-Based Blockchain Framework for Data Fidelity in High Performance Computing Systems
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Data fidelity is of prominent importance for scientific experiments and simulations, as the data upon which scientific discovery rests must be trustworthy and retain its veracity at every point in the scientific workflow. The state-of-the-art mechanism to ensure data fidelity is The dawn of exascale computing and its convergence with big data analytics has greatly spurred research interests. The reasons are straightforward. Traditionally, high performance computing (HPC) systems have been used for scientific applications involving majority of

Cush: Cognitive scheduler for heterogeneous high performance computing system
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Heterogeneous computing systems deliver high performance and flexibility while increasing system management complexity. Resource management is particularly affected, because of the variety of computing memory, and storage resources to handle. This paper describes Supercomputers have been used in various fields since around the 1980s. At that time, a vector architecture was the mainstream of the supercomputer, and program developers worked on vector tuning. However, in the 1990s, a parallel architecture emerged and the

High Performance Computing in Edge Computing Networks.
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The development of IoT applications has introduced large numbers of chatty devices to telecommunication networks. These devices can generate enormous amounts of data which needs to be processed in order to perform various IoT services. Edge computing networks

Comparison of fog computing cloud computing
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A big data urban growth simulation at a national scale: configuring the GIS and neural network based land transformation model to run in a high performance computing (HPC) environment. Environmental Modelling Software 51 (2014): 250-268

Energy Efficient High Performance Processors: Recent Approaches for Designing Green High Performance Computing
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There is a growing demand worldwide for resource conservation in all aspects of daily life. Utilizing resources effectively, improving environmental performance and defending global warming are in priority on the list of global challenges that must be addressed urgently

Towards a science gateway for bioinformatics: experiences in the Brazilian system of high performance computing
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Science gateways bring out the possibility of reproducible science as they are integrated into reusable techniques, data and workflow management systems, security mechanisms, and high performance computing (HPC). We introduce BioinfoPortal, a science gateway that

Experiences of converging big data analytics frameworks with high performance computing systems
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With the rapid development of big data analytics frameworks, many existing high performance computing (HPC) facilities are evolving new capabilities to support big data analytics workloads. However, due to the different workload characteristics and optimization

High performance computing at the rutgers discovery informatics institute
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Higher education plays a vital role in the economic development of the nation and the State by providing the education and training of the work force of the future and by advancing science and technology through research. The rapid technological changes occurring

Overview of collaborative high performance computingbased MDO of transport aircraft in the DLR project VicToria
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Usage of a central parametric file format (CPACS) Realistic flow physics (RANS) Transonic cruise flight (shocks) Maneuver flight (shocks, flow separations) Wing box sizing for composite structures Aeroelastic tailoring Fluid-structure coupling Performance calculation

Neuromorphic computing : The potential for high performance processing in space
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Neuromorphic computing (NC) is founded on the principle that asynchronous systems can work in parallel mimicking the efficiencies of neuro-biological architectures like our brains. In traditional computing computation and memory read/write operations are performed

Cooperative High Performance Computing with FPGAs: Matrix Multiply Case Study
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In high performance computing there is great opportunity for systems that use FPGAs to handle communication while also performing computation on data in transit in an altruistic manner that is, using resources for computation that might otherwise be used for

Empowering Flexible and Scalable High Performance Architectures with Embedded Photonics.
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Design space: channel rate / number of channels [16] M. Bahadori, et al. Energy- Performance Optimized Design of Silicon Photonic Interconnection Networks for High Performance Computing , DATE 200 300 400 500 600 700 Aggregate line rate (Gb/s) 0 0.5 1 1.5 2

Shenfun: High performance spectral Galerkin computing platform
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Shenfun is an open-source computing platform for solving partial differential equations (PDEs) by the spectral Galerkin method. The user interface to shenfun is very similar to FEniCS (https://fenicsproject. org), but applications are limited to simple, yet

GPU Accelerated Open Source Particle Image Velocimetry Software for High Performance Computing Systems
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ABSTRACT Particle Image Velocimetry (PIV) data processing time can constrain data set size and limit the types of statistical analyses performed. General Purpose Graphics Processing Unit (GPGPU) computing can accelerate PIV data processing allowing for larger

Infrastructures for High Performance Computing : Cloud Infrastructures
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This article describes the main services provided by the most popular cloud infrastructures currently in use. The systems presented in this article are either public clouds-Amazon Web Services (AWS), Google Cloud Platform, Microsoft Azure and IBM Bluemix-or private clouds

Meta-monitoring system for ensuring a fault tolerance of the intelligent high performance computing environment.
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The high performance computing systems include a large number of hardware and software components that can cause failures. Nowadays, the well-known approaches to monitoring and ensuring the fault tolerance of the high performance computing systems do not allow to

Towards industry-ready highorder overset methods on modern hardware
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a key role. In addition, the nature of modern high performance computing (HPC) Lastly, the nature of modern high performance computing (HPC) hardware has changed in recent years, requiring a fundamental shift in algorithm development to

Thermalaware dynamic checkpoint interval tuning for high performance computing
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Checkpointing with a fixed checkpoint interval, a so-called constant checkpointing method, is commonly used in the field of faulttolerance for high performance computing (HPC) systems. It can achieve minimum total execution time if the failure follows an exponential

Multitier Reactive Programming in High Performance Computing
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Abstract High Performance Computing (HPC) is crucial in a number of sectors, including weather forecasts, particle simulations and fluid dynamics. Existing programming frameworks for HPC expose developers to low-level details such as message passing and

DeepSim-HiPAC: Deep learning high performance approximate calculation for interactive design and prototyping
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We present a data-driven technique that can learn from physicalbased simulations for the instant prediction of field distribution of three-dimension (3D) objects. Such techniques are extremely useful when considering, for example, computer aided engineering (CAE), where

High Performance Custom Computing with FPGA Cluster as an Off-loading Engine
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ABSTRACT A heterogeneous system with Field Programmable Gate Arrays (FPGAs) is gathering attention in High Performance Computing (HPC) area. We have been researching and developing a high performance custom computing with FPGA cluster as an off-loading

Bayesian phylogenetic and phylodynamic data integration using BEAST 1.10
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BEAGLE 3.0: Improved Usability for a High Performance Computing Library for Statistical Phylogenetics, Systematic Biology [WorldCat] Darling, A., Zwickl, DJ, Beerli, P., Holder, MT, Lewis, P. O., Huelsenbeck, JP, Ronquist, F., Swofford, DL, Cummings, MP, Rambaut, A., and

High Performance Computing (HPC) Data Center for Information as a Service (IaaS) Security Checklist: Cloud Data Governance.
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This study focused on cloud Data Governance (DG) for High Performance Computing (HPC) Cloud data Centre focusing on IaaS cloud service. To ensure the service provided to users is secured, HPCC are required to be certified by International Organization for

A comparison between cluster, grid, and cloud computing
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to cluster computing and (5) if the operation currently executed depends on the previous tasks, then processing cannot be done in parallel on distributed resources so that the application cannot benefit from the grid advantages in terms of high performance computing The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general High performance cloud computing has recently become the focus of much interest. Extensive research has shown that scheduling and load balancing are among the key aspects of performance optimization. The allocation of a set of requests into a set of