The advent of multicore platform brings a great opportunity to speedup sequential program via thread level parallelism. In this paper we have proposed a novel Thread Level Speculation (TLS) framework HVD-TLS. The fram...
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Due to overall popularity of the Internet, e-learning has become a hot method of learning in recent years. Through the Internet, learners can freely absorb new knowledge without the restriction of time and place. Many...
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ISBN:
(纸本)0769520731
Due to overall popularity of the Internet, e-learning has become a hot method of learning in recent years. Through the Internet, learners can freely absorb new knowledge without the restriction of time and place. Many companies have adopted e-learning to train their employees. The e-learning system can make an enterprise more competitive by increasing the knowledge of its employees. As we know, e-learning has become one of the most potential e-commerce businesses. At present, most e-learning environment architectures are in consideration of a single computer or server as its erecting foundation. As soon as its work load increases, the software and hardware need to be updated or renewed;this is a big burden to a company with insufficient budget. Thus, in this research we employ a kind of Grid computing technology, called "Access Grid", to integrate the idle computer resources in an enterprise into an e-learning platform for substituting the purchase of costly high-level server and equipment. The Access Grid supports group-to-group communication via high-speed networking over the Internet. It provides high quality audio and real-time video interactive interface for e-learning users. All the hardware cost is reasonable so that companies or academies can easily set up their own Access Grid Node. By using Access Grid technologies, enterprises can integrate their training materials into knowledge repository such as "Data Grid" as the e-learning VOD platform so that the knowledge can be shared and published more flexibly and widely.
Neural networks, as an important computing model, have a wide application in artificial intelligence (AI) domain. From the perspective of computerscience, such a computing model requires a formal description of its b...
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Neural networks, as an important computing model, have a wide application in artificial intelligence (AI) domain. From the perspective of computerscience, such a computing model requires a formal description of its behaviors, particularly the relation between input and output. In addition, such specifications ought to be verified automatically. ReLU (rectified linear unit) neural networks are intensively used in practice. In this paper, we present ReLU Temporal Logic (ReTL), whose semantics is defined with respect to ReLU neural networks, which could specify value-related properties about the network. We show that the model checking algorithm for theΣ2∪Π2 fragment of ReTL, which can express properties such as output reachability, is decidable in EXPSPACE. We have also implemented our algorithm with a prototype tool, and experimental results demonstrate the feasibility of the presented model checking approach.
Personalized PageRank (PPR) computation is a fundamental operation in web search, social networks, and graph analysis. Given a graph G, a source s, and a target t, the PPR query π(s, t) returns the probability that a...
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Parity-based RAID poses a design trade-off issue for large-scale SSD storage systems: it improves reliability against SSD failures through redundancy, yet its parity updates incur extra I/Os and garbage collection ope...
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Recently, with more and more disasters occurring in the world, people have increasingly realized the importance of the disaster relief. Many systems occur at this time to provide different functionalities. The differe...
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Given an untrimmed video and a text query, natural language video localization (NLVL) is to locate a matching span from the video that semantically corresponds to the query. Existing solutions formulate NLVL either as...
Enabling the full life cycle of scientific and engineering workflows requires robust middleware and services that support effective data management, near-realtime data movement and custom data processing. Many existin...
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Based on the 'SunWay TaihuLight' system, it designs highperformance batch-processing algorithm of unstructured-grid discreted accessing memory, which is suitable for different application scenarios. This meth...
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Due to the preeminent work of the real-time specification for Java(RTSJ), Java is increasingly expected to become the leading programming language in real-time systems. To provide a Java platform suitable for real-tim...
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ISBN:
(纸本)1595934804;9781595934802
Due to the preeminent work of the real-time specification for Java(RTSJ), Java is increasingly expected to become the leading programming language in real-time systems. To provide a Java platform suitable for real-time applications, a real-time Java processor can execute Java bytecode directly is proposed in this paper. This processor provides efficient support in hardware for mechanisms specified in the RTSJ and offers a simpler programming model through ameliorating the scoped memory of the RTSJ. The most important characteristic of the processor is that its WCET(worst case execution time) of the bytecode execution is predictable. It is vital for the real-time systems. Copyright 2007 ACM.
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