I/O for parallel and distributed systems has drawn increasing attention over the past decade as it has become apparent that I/O performance, rather than CPU performance, may be the key limiting factor in the performan...
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ISBN:
(纸本)0769524052
I/O for parallel and distributed systems has drawn increasing attention over the past decade as it has become apparent that I/O performance, rather than CPU performance, may be the key limiting factor in the performance of future systems. Prefetch is the fundamental approach for improving the overall read performance. In this paper, we study three parallel prefetching algorithms-LRU-Lookahead, Fixed Horizon, and Greedy algorithmin, and explore the performance characteristics of each of the algorithms using the trace-driven simulation.
this paper discusses lung cancer detection in chest X-ray images with a parallel genetic algorithm (GA). the template matching method and local search techniques are combined to the algorithm and JavaSpaces is used to...
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ISBN:
(纸本)9780769548791
this paper discusses lung cancer detection in chest X-ray images with a parallel genetic algorithm (GA). the template matching method and local search techniques are combined to the algorithm and JavaSpaces is used to construct the parallel system. the promising results are presented in the experiments.
In order to improve the performance of applications on OpenMP/JIAJIA, we present a new abstraction, Array Relation Vector (ARV), to describe the relation between the data elements of two consistent shared arrays acces...
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ISBN:
(纸本)0769524052
In order to improve the performance of applications on OpenMP/JIAJIA, we present a new abstraction, Array Relation Vector (ARV), to describe the relation between the data elements of two consistent shared arrays accessed in one computation phase. Based on ARV, we use array grouping to eliminate the pseudo data distributing of small shared data and improve the page locality. Experimental results show that ARV-based array grouping can greatly improve the performance of applications with non-continuous data access and strict access affinity on OpenMP/JIAJIA cluster. For applications with small shared arrays, array grouping can improve the performance obviously when the processor number is small.
Withthe rapid development of information technology, the security of massive amounts of digital data has attracted huge attention in recent years. In this paper, we provide an efficient parallel implementation of the...
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ISBN:
(纸本)9781509050819
Withthe rapid development of information technology, the security of massive amounts of digital data has attracted huge attention in recent years. In this paper, we provide an efficient parallel implementation of the Advanced Encryption Standard (AES) algorithm, a widely used symmetrical block encryption algorithm, based on the Sunway TaihuLight. the Sunway TaihuLight is a China's independently developed heterogeneous supercomputer with peak performance over 100 PFlops. We also optimize the parallel implementation of the AES algorithm based on the Sunway TaihuLight to achieve more optimized performance. the optimization of the parallel AES algorithm in a single SW26010 node is provided. Specifically, we expand the scale to 1024 nodes and achieve the throughput of about 63.91 GB/s (511.28 Gbits/s). Our parallel implementation of the AES algorithm has great parallel scalability and the speedup ratio can be very high withthe number of nodes increasing.
the reliable data distribution service has become an important component of current Internet information system, which performs the basic functions of various information systems including document transportation, dat...
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ISBN:
(纸本)9781538637906
the reliable data distribution service has become an important component of current Internet information system, which performs the basic functions of various information systems including document transportation, data sharing, remote medical consultation and online education. However, the cloud computingtechnologies have been rapidly risking in recent years due to its ready expansion, high reliability, low cost and other advantages. therefore, in combination withthe advantages of cloud computing in terms of technology and cost, the research on cloud-computing-assisted reliable data distribution technologies is a practical and challengeable topic. In this paper, the in-depth analysis on the characteristics of reliable data distribution and cloud computing and their relations, the innovative proposing of a model of forwarding structure of cloud-computing-assisted reliable data distribution, the research on the cloud-computing-assisted data recovery and error control theory on the basis of aforementioned model together led to the introduction of a set of readily deployable, cloud-computer-assisted, and reliable data distribution service system. the research results are expected to be extended to the cloud computing services and meanwhile provide new ideas and technological supports for the reliable data distribution, which shall have important theoretical and practical values.
the main goal of this work was prototyping hardware system for the counting of moving objects, port it to a low cost embedded Linux platform, and evaluate the recognition accuracy (count accuracy) in static and dynami...
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ISBN:
(纸本)9781634398022
the main goal of this work was prototyping hardware system for the counting of moving objects, port it to a low cost embedded Linux platform, and evaluate the recognition accuracy (count accuracy) in static and dynamic background environments, performance (we target a real-life processing), as well as the power consumption in real-life applications. the proposed system was structured to be capable (if necessary) to transfer the selected data to any server via internet protocols for additional data mining, generating of reports for various objects groups, doing analytics and so on. In the article, the authors present the proposed system structure and hardware implementation, measured characteristics, proprietary algorithm and the experimental evaluation in real-life (not laboratory) conditions.
Skeletal parallelism offers a good trade-off between programming productivity and execution efficiency. In this style of parallelism, an application is a composition of algorithmic skeletons. An algorithmic skeleton c...
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this topic covers new exciting developments in the area of distributed systems and algorithms. It aims to address boththeoretical and practical issues that arise in relation to the specification, design, implementati...
ISBN:
(纸本)3540440496
this topic covers new exciting developments in the area of distributed systems and algorithms. It aims to address boththeoretical and practical issues that arise in relation to the specification, design, implementation, verification and analysis of distributed systems and their algorithms. Loosely speaking, a distributed system is a collection of independent, autonomous computing elements that appears to its users as a single, coherent entity. Today, distributed systems are almost everywhere. Indeed, the immensely popularWorld WideWeb is arguably the biggest distributed system ever built. Even more so, the wide acceptance and use of Internet technologies and standards stresses the importance of distributed systems more than ever.
Two camps of file systems exist: parallel file systems designed for conventional high performance computing (HPC) and distributed file systems designed for newly emerged data-intensive applications. Addressing the big...
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ISBN:
(纸本)9781479955480
Two camps of file systems exist: parallel file systems designed for conventional high performance computing (HPC) and distributed file systems designed for newly emerged data-intensive applications. Addressing the big data challenge requires an approach that utilizes both high performance computing and data-intensive computing power. thus, HPC applications may need to interact withdistributed file systems, such as HDFS. the N-1 (N-to-1) parallel file write is a critical technical challenge, because it is very common for HPC applications but HDFS does not allow it. this study introduces a system solution, named SCALER, which allows MPI based applications to directly access HDFS without extra data movement. SCALER supports N-1 file write at boththe inter-block level and intra-block level. Experimental results confirm that SCALER achieves the design goal efficiently.
Grid computing got much attention lately-not only from the academic world, but also from industry and business. But what remains when the dust of the many press articles has settled? We try to answer this question by ...
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ISBN:
(纸本)3540440496
Grid computing got much attention lately-not only from the academic world, but also from industry and business. But what remains when the dust of the many press articles has settled? We try to answer this question by investigating the concepts and techniques grids are based on. We distinguish three kinds of grids;the HTML-based Information Grid, the contemporary Resource Grid, and the newly evolving Service Grid. We show that grid computing is not just another hype, but has the potential to open new perspectives for the co-operative use of distributed resources. Grid computing is on the right way to solve a key problem in our distributedcomputing world: the discovery and coordinated use of distributed, services that may be implemented by volatile, dynamic local resources.
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