In the new hyper connected factories, data gathering, and prediction models are key to keeping both productivity and piece quality. This paper presents a software platform that monitors and detects outliers in an indu...
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In the new hyper connected factories, data gathering, and prediction models are key to keeping both productivity and piece quality. This paper presents a software platform that monitors and detects outliers in an industrial manufacturing process using scalable software tools. The platform collects data from a machine, processes it, and displays visualizations in a dashboard along with the results. A statistical method is used to detect outliers in the manufacturing process. The performance of the platform is assessed in two ways: firstly by monitoring a five-axis milling machine and secondly, using simulated tests. Former tests prove the suitability of the platform and reveal the issues that arise in a real environment, and latter tests prove the scalability of the platform with higher data processing needs than the previous ones.
Dynamic task assignment and migration are the key technique to load balancing which plays an important role in the achievement of high performance in distributedcomputing system. In this paper, we describe the design...
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Dynamic task assignment and migration are the key technique to load balancing which plays an important role in the achievement of high performance in distributedcomputing system. In this paper, we describe the design and implementation of an online thread scheduling and migration system (S&M) based on a previous work of LWP -MPI. Experimental results show that performance is enhanced.
Background: Whole-genome sequencing (WGS) plays an increasingly important role in clinical practice and public health. Due to the big data size, WGS data analysis is usually compute-intensive and IO-intensive. Current...
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Background: Whole-genome sequencing (WGS) plays an increasingly important role in clinical practice and public health. Due to the big data size, WGS data analysis is usually compute-intensive and IO-intensive. Currently it usually takes 30 to 40 h to finish a 50x WGS analysis task, which is far from the ideal speed required by the industry. Furthermore, the high-end infrastructure required by WGS computing is costly in terms of time and money. In this paper, we aim to improve the time efficiency of WGS analysis and minimize the cost by elastic cloud computing. Results: We developed a distributed system, GT-WGS, for large-scale WGS analyses utilizing the Amazon Web Services (AWS). Our system won the first prize on the Wind and Cloud challenge held by Genomics and Cloud Technology Alliance conference (GCTA) committee. The system makes full use of the dynamic pricing mechanism of AWS. We evaluate the performance of GT-WGS with a 55x WGS dataset (400GB fastq) provided by the GCTA 2017 competition. In the best case, it only took 18.4 min to finish the analysis and the AWS cost of the whole process is only 16.5 US dollars. The accuracy of GT-WGS is 99.9% consistent with that of the Genome Analysis Toolkit (GATK) best practice. We also evaluated the performance of GT-WGS performance on a real-world dataset provided by the XiangYa hospital, which consists of 5x whole-genome dataset with 500 samples, and on average GT-WGS managed to finish one 5x WGS analysis task in 2.4 min at a cost of $3.6. Conclusions: WGS is already playing an important role in guiding therapeutic intervention. However, its application is limited by the time cost and computing cost. GT-WGS excelled as an efficient and affordable WGS analyses tool to address this problem. The demo video and supplementary materials of GT-WGS can be accessed at https://***/Genetalks/wgs_analysis_demo.
In this paper,an original parallel domain decomposition method for ray-tracing is proposed to solve numerical acoustic problems on multi-cores and multi-processors computers.A hybrid method between the ray-tracing and...
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In this paper,an original parallel domain decomposition method for ray-tracing is proposed to solve numerical acoustic problems on multi-cores and multi-processors computers.A hybrid method between the ray-tracing and the beamtracing method is first ***,a new parallel method based on domain decomposition principles is *** method allows to handle large scale open domains for parallelcomputing purpose,better than other existing *** numerical experiments,carried out on a real world problem—namely the acoustic pollution analysis within a large city—illustrate the performance of this new domain decomposition method.
This paper covers the fast solution of large acoustic problems on low-resources parallel platforms. A domain decomposition method is coupled with a dynamic load balancing scheme to efficiently accelerate a geometrical...
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This paper covers the fast solution of large acoustic problems on low-resources parallel platforms. A domain decomposition method is coupled with a dynamic load balancing scheme to efficiently accelerate a geometrical acoustic method. The geometrical method studied implements a beam-tracing method where intersections are handled as in a ray-tracing method. Beyond the distribution of the global processing upon multiple sub-domains, a second parallelization level is operated by means of multi-threading and shared memory *** experiments show that this method allows to handle large scale open domains for parallelcomputing purposes on few machines. Urban acoustic pollution arrising from car traffic was simulated on a large model of the Shinjuku district of Tokyo, Japan. The good speed-up results illustrate the performance of this new domain decomposition method.
Generally, image rendering requires high computing capacity. It is really time consuming to render a movie on a single machine. The use of multiple machines to render a move requires much effort to control the workflo...
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ISBN:
(纸本)9781479989386
Generally, image rendering requires high computing capacity. It is really time consuming to render a movie on a single machine. The use of multiple machines to render a move requires much effort to control the workflow and data. With the emergence of cloud computing, more and more scientists and engineers are moving their tasks from laboratories to public clouds. This migration requires some sort experience on both the cloud architecture and coding in the cloud. This paper proposes a simple service to render movies on Microsoft Azure that accelerates movie rendering. This service, called AzureRender, also introduces task parallelism and cache management to improve performance and reduce cost. A comparative study on image rendering performance and cost between Microsoft Azure and desktop machines is given at the end of the paper.
Keeping in view the growth of the technological frontiers, there is always a need for the development of reliable, fault tolerant and cost- effective interconnection networks (INs) which are the critical metrics to ac...
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ISBN:
(数字)9781119620600
ISBN:
(纸本)9781119620587
Keeping in view the growth of the technological frontiers, there is always a need for the development of reliable, fault tolerant and cost- effective interconnection networks (INs) which are the critical metrics to achieve the goal of parallelism. The main objective of this book is to design new fault tolerant interconnection network layouts capable of path redundancy among dynamic failures. New INs designs are proposed and their observed results are found promising when compared with some of the earlier networks. The book also covers the reliability evaluation of various industrial network topologies considering multiple reliability performance parameters (2-TR, broadcast and ATR). Finally, the book also focuses on reliability evaluation and comparison of various topologies considering connectivity among multiple sources and multiple destinations (MSMT) nodes.
This paper covers the fast solution of large acoustic problems on low-resources parallel platforms.A domain decomposition method is coupled with a dynamic load balancing scheme to efficiently accelerate a geometrical ...
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This paper covers the fast solution of large acoustic problems on low-resources parallel platforms.A domain decomposition method is coupled with a dynamic load balancing scheme to efficiently accelerate a geometrical acoustic *** geometrical method studied implements a beam-tracing method where intersections are handled as in a ray-tracing *** the distribution of the global processing upon multiple sub-domains,a second parallelization level is operated by means of multi-threading and shared memory *** experiments show that this method allows to handle large scale open domains for parallelcomputing purposes on few *** acoustic pollution arrising from car traffic was simulated on a large model of the Shinjuku district of Tokyo,*** good speed-up results illustrate the performance of this new domain decomposition method.
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