the proceedings contain 68 papers. the topics discussed include: trusted computing dynamic attestation by using static analysis based behavior model;evolutionary design of S-box with cryptographic properties;a multi-l...
ISBN:
(纸本)9780769544298
the proceedings contain 68 papers. the topics discussed include: trusted computing dynamic attestation by using static analysis based behavior model;evolutionary design of S-box with cryptographic properties;a multi-level grey evaluation model for harms of computer virus;reduce leakage currents in low power SRAM cell structures;concurrent online test architecture for multiple controller blocks with minimum fault latency;modeling and analysis of radiation therapy system with respiratory compensation using uppaal;brushstroke control from image saliency;tomogrphical medical image reconstruction using kalman filter technique;affordable privacy for home smart meters;scheduling of energy storage systems with geographically distributed renewables;selection of model in developing information security criteria on smart grid security system;and two-layer security scheme for AMI system in Taiwan.
the proceedings contain 40 papers. the topics discussed include: a classified cluster based architecture for resource discovery in P2P networks using collaborative agents;the probabilistic double token ring;an efficie...
ISBN:
(纸本)9780889868205
the proceedings contain 40 papers. the topics discussed include: a classified cluster based architecture for resource discovery in P2P networks using collaborative agents;the probabilistic double token ring;an efficient inter-domain routing in wireless mesh networks;a reliable transmission protocol for sensors in poorly connected areas over mobile networks;grid scheduling divisible load with load adaptive computing power;an energy efficient SMT processor with heterogeneous instruction set architectures;a proactive fault tolerance framework for high-performance computing;coverage overlay backfilling: efficient job allocation scheduling scheme for large-scale mesh-connected supercomputers;development of a network on chip for parallel processing systems;a low-power fault-tolerant NOC using error correction and detection codes;link state aware routing for multiple mobile robots in wireless sensor network;and channel assignment protocol with weaker restrictions in wireless multihop networks.
the proceedings contain 114 papers. the topics discussed include: accounting and monitoring infrastructure for distributedcomputing in the atlas experiment;the atlas EVENTINDEX using the HBase/phoenix storage solutio...
the proceedings contain 114 papers. the topics discussed include: accounting and monitoring infrastructure for distributedcomputing in the atlas experiment;the atlas EVENTINDEX using the HBase/phoenix storage solution;offline software and computing for the SPD experiment;the grid-characteristic method for applied dynamic problems of fractured and anisotropic media;fractal thermodynamics, big data and its 3D visualization;the technology and tools for the building of information exchange package based on semantic domain model;participation of Russian institutes in the processing and storage of ALICE data;a virtual testbed for optimizing the performance of a new type of accelerators;multithreaded event simulation in the BMNROOT package;and resource management in private multi-service cloud environments.
Deep learning applications have become crucially important for the analysis and prediction of massive volumes of data. However, these applications impose substantial input/output (I/O) loads on computing systems. Spec...
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this paper presents Tupleware, a cluster middleware which provides a distributed tuple space intended for use by computationally intensive scientific and numerical applications. It aims to add no extra burden to the a...
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ISBN:
(纸本)9780769534435
this paper presents Tupleware, a cluster middleware which provides a distributed tuple space intended for use by computationally intensive scientific and numerical applications. It aims to add no extra burden to the application programmer due to the distribution of the tuple space, and uses a decentralised approach and intelligent tuple search and retrieval to provide a scalable and efficient execution environment. Tupleware is evaluated using two applications: a modified quicksort and an ocean model, which demonstrates good scalability and a low system overhead.
As grid software and grid applications grow in size and complexity, memory usage experiment and analysis have become more and more essential. In this paper, we investigate an Anti-TestCase-based approach to analyze th...
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ISBN:
(纸本)9780769534435
As grid software and grid applications grow in size and complexity, memory usage experiment and analysis have become more and more essential. In this paper, we investigate an Anti-TestCase-based approach to analyze the memory usage of GOS core software, and present a set of Anti-TestCases, which describe predefined memory problems of GOS core. this approach is applied with a set of automated test tools in controlled experiments including basic memory requirements, memory errors and memory usage of GOS core. Withthe experiment and analysis, we find several memory usage results of GOS core and they are valuable for other systems based on JVM, Tomcat and Axis. We also give some JVM memory configuration suggestions for better performance in the production server.
For the given multiple patterns and a text string, firstly, a perfect hash function is constructed, the patterns are transformed into the unique pairs of integer values in parallel by the perfect hash function, the co...
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ISBN:
(纸本)9780769534435
For the given multiple patterns and a text string, firstly, a perfect hash function is constructed, the patterns are transformed into the unique pairs of integer values in parallel by the perfect hash function, the corresponding integer values are stored in a global hash table, and a recursion expression for computing hash function value of the signatures of each sub-string of text is also proposed. Secondly based on divisible load principle, a linear programming model for the optimal text distribution strategy is created and a parallel approximate multi-pattern matching algorithm allowing one error is presented on the heterogeneous cluster system which processors have different computing speeds and distinct communication capabilities and different memory sizes by taking into account computation and communication startup time and using the assigned processor distribution order. the experimental results on the cluster system of heterogeneous personal computers show that the presented parallel algorithm is averagely 25% faster than that one using the even text distribution strategy, and it obtains a nearly linear speedup and good scalability.
Withthe capability of employing virtually unlimited compute resources, the cloud evolved into an attractive execution environment for applications from the High Performance computing (HPC) domain. By means of elastic...
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ISBN:
(纸本)9789897583650
Withthe capability of employing virtually unlimited compute resources, the cloud evolved into an attractive execution environment for applications from the High Performance computing (HPC) domain. By means of elastic scaling, compute resources can be provisioned and decommissioned at runtime. this gives rise to a new concept in HPC: Elasticity of parallel computations. However, it is still an open research question to which extent HPC applications can benefit from elastic scaling and how to leverage elasticity of parallel computations. In this paper, we discuss how to address these challenges for HPC applications with dynamic task parallelism and present TASKWORK, a cloud-aware runtime system based on our findings. TASKWORK enables the implementation of elastic HPC applications by means of higher-level development frameworks and solves corresponding coordination problems based on Apache ZooKeeper. For evaluation purposes, we discuss a development framework for parallel branch-and-bound based on TASKWORK, show how to implement an elastic HPC application, and report on measurements with respect to parallel efficiency and elastic scaling.
In this paper, a bit-rate estimation method is proposed, which could improve the performance of the H.264 encoder and avoid the strict data-dependences of mode decision. After that, an efficient parallel algorithm for...
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ISBN:
(纸本)9780769534435
In this paper, a bit-rate estimation method is proposed, which could improve the performance of the H.264 encoder and avoid the strict data-dependences of mode decision. After that, an efficient parallel algorithm for H.264 encoder with CABAC entropy coding is presented based on the Macro-Block Region Partition (MBRP) parallel method and the bit-rate estimation technique. Simulation results show that, the proposed parallel algorithm could improve the performance of H.264 encoder efficiently while maintaining the similar RD performance as JM 10.2.
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