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high-performance scalable computing systems

Research on High-performance and Scalable Data Access in Parallel Big Data Computing

Research on High-performance and Scalable Data Access in Parallel Big Data Computing

... • Data requests from script-based or MPI-based applications such as Paraview [12] usually assign data processing tasks to parallel processes during initialization. These processes can simultaneously issue a large number ...

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Scalable Data Analysis in High Performance Computing

Scalable Data Analysis in High Performance Computing

... and scalable enough to handle increased data ...and scalable framework and data analysis library on HPC ...a high-level Application Programming Interface (API) working on abstract entities such as ...

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Deliverable D2.2. Resource Management Systems for Distributed High Performance Computing

Deliverable D2.2. Resource Management Systems for Distributed High Performance Computing

... The Diet framework comprises several components. A Client is an application that uses the Diet infrastructure to solve problems using a remote procedure call (RPC) approach. Clients access Diet via various interfaces: ...

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A Minimal Linux Environment for High Performance Computing Systems

A Minimal Linux Environment for High Performance Computing Systems

... a scalable parallel file-system is essential for input and output this method of launching an executable also presents trade-offs and is beyond the scope of this ...

7

Evaluating and Enabling Scalable High Performance Computing Workloads on Commercial Clouds

Evaluating and Enabling Scalable High Performance Computing Workloads on Commercial Clouds

... support systems for urgent computing fo- cuses on how best to take advantage of existing computational resources for urgent comput- ...urgent computing tasks to be completed in a timely ...urgent ...

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Task Scheduling Algorithm for High Performance Heterogeneous Distributed Computing Systems

Task Scheduling Algorithm for High Performance Heterogeneous Distributed Computing Systems

... Another static scheduling category is task duplication based algorithms [12, 13], in which tasks have been duplicated on more than one processor to reduce the waiting time of the dependent tasks. The main idea behind ...

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Anomaly Detection Using Autoencoders in High Performance Computing Systems

Anomaly Detection Using Autoencoders in High Performance Computing Systems

... and scalable monitoring infrastructure for Exascale su- ...the computing nodes, but tightly coupled with ...each computing node at the plug as well as performance and utilization ...and ...

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ARCHITECTURE AND PERFORMANCE OF RUNTIME ENVIRONMENTS FOR DATA INTENSIVE SCALABLE COMPUTING

ARCHITECTURE AND PERFORMANCE OF RUNTIME ENVIRONMENTS FOR DATA INTENSIVE SCALABLE COMPUTING

... The emerging trend of performing data analysis on Cloud infrastructures also favors the MapReduce style of simple programming models. Cloud infrastructures are comprised of thousands of computers organized into data ...

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SCALABLE HIGH PERFORMANCE MULTIDIMENSIONAL SCALING

SCALABLE HIGH PERFORMANCE MULTIDIMENSIONAL SCALING

... more computing resources on cluster systems for dealing with large amounts of data in Chapter ...parallel performance and the scalability of our parallel implementation in Chapter 3 as ...

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ACCOMPLISHING HIGH PERFORMANCE DISTRIBUTED SYSTEM BY THE IMPLEMENTATION OF CLOUD, CLUSTER AND GRID COMPUTING

ACCOMPLISHING HIGH PERFORMANCE DISTRIBUTED SYSTEM BY THE IMPLEMENTATION OF CLOUD, CLUSTER AND GRID COMPUTING

... in computing power, clustering certainly has hitches and hesitancies as a comparably newfangled ...Distributed computing administers to beset a distended sphere of clustering by permitting the nodes to ...

8

High-Performance Computing

High-Performance Computing

... I Jobs are submitted via a Shell Script or via a Matlab script I Shell Script examples are available on the HPC web site... Matlab’s Parallel Toolbox.[r] ...

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Delivering High Performance Computing to the Masses 1. High Performance Computing. Case Study. Delivering High Performance Computing to the Masses

Delivering High Performance Computing to the Masses 1. High Performance Computing. Case Study. Delivering High Performance Computing to the Masses

... supercomputer systems – such as power management and what it takes to keep these machines running on a 24/7 ...and systems management software that could help streamline center ...software systems. I ...

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Architecture and Performance of Runtime Environments for Data Intensive Scalable Computing

Architecture and Performance of Runtime Environments for Data Intensive Scalable Computing

... Jaliya Ekanayake, Advisor: Geoffrey Fox Architecture and Performance of Runtime Environments for Data Intensive Scalable Computing, Accepted for the Doctoral Showcase, SuperComputing2009[r] ...

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Long Distance Geographically Distributed InfiniBand Based Computing

Long Distance Geographically Distributed InfiniBand Based Computing

... multiple computing centres, referred as federated computing is becom- ing important pillar of High Performance Computing (HPC) and will be one of its key components in the ...on ...

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Wireless Interconnects for Intra-chip & Inter-chip Transmission

Wireless Interconnects for Intra-chip & Inter-chip Transmission

... As shown in previous sections, collapsing Moore’s law and predictions by ITRS 2015 must be considered in order to keep up with increasing demand for optimum and faster processing. Photonics is another technology with ...

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A Survey Paper on the Evaluation Criteria of Open Source Cloud Computing Solutions Simranjit Kaur 1, Dr.Sumesh Sood2

A Survey Paper on the Evaluation Criteria of Open Source Cloud Computing Solutions Simranjit Kaur 1, Dr.Sumesh Sood2

... Cloud Computing. Cloud computing and open-source software are bonded in a ...Cloud computing directly benefits from the use of OSS, because it eliminates critical dependencies that can impact the ...

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Architecture and Performance of Runtime Environments for Data Intensive Scalable Computing

Architecture and Performance of Runtime Environments for Data Intensive Scalable Computing

... Scheduling – Dynamic scheduling – Many optimizations, especially focusing on scheduling many MapReduce jobs on large clusters Fault Tolerance – Re-execution of failed task + store every [r] ...

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High Performance Scalable Hardware Configuration Management

High Performance Scalable Hardware Configuration Management

... proprietary systems and is continuing to prove its value at companies like SGI, nVidia, Apple and Matrix Semiconductor as well as a number of exciting startups such as Aeluros, Pixim, TriCN and Raza ...

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WHITE PAPER. Cloud computing: Marketing hype or sound business strategy?

WHITE PAPER. Cloud computing: Marketing hype or sound business strategy?

... for computing increases, larger amounts of processing power and data storage are required to support important enterprise ...of computing will be necessary to manage this vast information ...

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TOWARD A NEW (ANOTHER) METRIC FOR RANKING HIGH PERFORMANCE COMPUTING SYSTEMS

TOWARD A NEW (ANOTHER) METRIC FOR RANKING HIGH PERFORMANCE COMPUTING SYSTEMS

... • Run one set of Optimized CG solver to determine number of iterations required to reach residual reduction of reference CG. • Compute how many sets of[r] ...

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