The main aim of this work is to show, how GPGPUs can facilitate certain type of image processing methods. The software used in this paper is used to detect special tissue part, the nuclei on (HE - hematoxilin eosin) s...
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作者：
Krill, B.Amira, A.
Faculty of Computing and Engineering University of Ulster Newtownabbey Co. Antrim BT37 0QB Belfast United Kingdom
This paper presents the design and implementation of a generic cyclic convolution architecture for imaging applications on field programmable gate array (FPGA). Two main architectures are implemented. A parallel archi...
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In large organizations or IDCs, different departments always occupy and maintain dedicated resources to satisfy their or their customers' heterogeneous application loads. This situation easily makes the infrastruc...
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High energy consumption has become a critical problem for supercomputer systems. GPU clusters are becoming an increasingly popular architecture for building supercomputers because of its great improvement in performan...
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This paper focuses on solutions to two NP-Complete problems: k-SAT and the knapsack problem. We propose a new parallel genetic algorithm strategy on the CUDA architecture, and perform experiments to compare it with th...
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This paper focuses on solutions to two NP-Complete problems: k-SAT and the knapsack problem. We propose a new parallel genetic algorithm strategy on the CUDA architecture, and perform experiments to compare it with the sequential versions. We show how these problems can benefit from the GPU solutions, leading to significant improvements in speedup while keeping the quality of the solution. The best performance obtained in terms of speedup is 67 times. The solution presented in this paper suggests a general strategy for finding fast and robust solutions to complex problems.
There are several programming paradigms that help programmers write efficient and verifiable code for distributed environments. These solutions, however, often lack proper support for local parallelism. In this articl...
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There are several programming paradigms that help programmers write efficient and verifiable code for distributed environments. These solutions, however, often lack proper support for local parallelism. In this article we try to improve existing solutions for providing a distributed, highly parallel framework that is easy to program. We propose an extension to the active object programming model which optimizes the local performance of applications by harnessing the full computing power of multi-core CPUs. The need for explicit locking mechanisms is reduced by the addition of meta-information to the methods in the source code. This paper describes this language-independent meta-information, and the way we intend to use it for parallelizing execution inside an active object.
作者：
Pierre RiteauIRISA
INRIA Rennes-Bretagne Atlantique University of Rennes I Rennes France
The emergence of cloud computing infrastructures brings new ways to build and manage computing systems, with the flexibility offered by virtualization technologies. In this context, this PhD thesis focuses on two prin...
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The emergence of cloud computing infrastructures brings new ways to build and manage computing systems, with the flexibility offered by virtualization technologies. In this context, this PhD thesis focuses on two principal objectives. First, leveraging virtualization and cloud computing infrastructures to build distributed large scale computing platforms from multiple cloud providers, allowing to run software requiring large amounts of computation power. Second, developing mechanisms to make these infrastructures more dynamic. These mechanisms, providing inter-cloud live migration, offer new ways to exploit the inherent dynamic nature of distributed clouds.
As cloud services proliferate, it becomes difficult to facilitate service composition and testing in clouds. In traditional service-oriented computing, service composition and testing are carried out independently. Th...
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ISBN:
(纸本)9780769543499
As cloud services proliferate, it becomes difficult to facilitate service composition and testing in clouds. In traditional service-oriented computing, service composition and testing are carried out independently. This paper proposes a new approach to manage services on the cloud so that it can facilitate service composition and testing. The paper uses service implementation selection to facilitate service composition similar to Google's Guice and Spring tools, and apply the group testing technique to identify the oracle, and use the established oracle to perform continuous testing for new services or compositions. The paper extends the existing concept of template based service composition and focus on testing the same workflow of service composition. In addition, all these testing processes can be executed in parallel, and the paper illustrates how to apply service-level MapReduce [1] technique to accelerate the testing process.
It has been identified that as complexity of computing and communication devices increases, fault-tolerance will gain more and more importance. Wireless sensor networks (WSNs) are exceptionally complex distributed sys...
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