Geometric shape modeling becomes increasingly complex and resource-demanding task. In this paper we propose a method to leverage the power of Grid to provide users with high-precision free-form shape modeling environm...
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As the need for more reporting and assessment of information increase exponentially, computer-based applications consume resources at an alarmingly rapid rate. Therefore, traditional techniques for managing resource a...
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As the need for more reporting and assessment of information increase exponentially, computer-based applications consume resources at an alarmingly rapid rate. Therefore, traditional techniques for managing resource allocation, topology and systems need urgent revision. In this paper, we present an intelligent architecture that introduces a new strategy for managing resource discovery, allocation and dynamic reconfiguration at run-time. Our building methodology involves the employment of new types of clustered systems based on large application groupings, each having a master cluster controller. Each controlling engine consists of self-healing intelligent entities that can compensate for a variety of software or hardware problems. We also present evaluation results of extensive experiments in a production environment, which demonstrate the advantages of our approach.
Control systems design has traditionally been treated separately from the design of its software and hardware implementation. The increasing use of embedded control in for example distributed, safety critical and mass...
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Device pass-through has been widely adopted by cloud service providers to achieve near bare-metal I/O performance in virtual machines (VMs). However, this approach requires static pinning of VM memory, making on-deman...
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The data used by today's scientific applications are often very high in dimensionality and staggering in size. These characteristics necessitate the use of a good multidimensional indexing strategy to provide effi...
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ISBN:
(纸本)9781424400546
The data used by today's scientific applications are often very high in dimensionality and staggering in size. These characteristics necessitate the use of a good multidimensional indexing strategy to provide efficient access to the data. Researchers have previously proposed the use of bitmap indexes for high-dimension scientific data as a way of overcoming the drawbacks of traditional multidimensional indexes such as R-trees and KD-trees, which are bulky and whose performance does not scale well as the number of dimensions increases. However, the techniques proposed in previous work on bitmap indexes are not sufficient to address all problems that arise in practice. In experiments with real datasets, we experienced problems with index size and query performance. To overcome these shortcomings, we propose the use of adaptive, multilevel, multi-resolution bitmap indexes, and evaluate their performance in two scientific domains. Our preliminary experiments with a parallel query processor and index creator also show that it is very easy to parallelize a bitmap index
This paper deals with scheduling in software development organizations. A new version of the software project scheduling problem (SPSP) is considered that takes into account the phenomenon of learning and forgetting. ...
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Collaborative learning is a widely used privacy-preserving distributed training framework where users participate in global training using gradients instead of disclosing their private data. However, gradient inversio...
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The size and complexity of large-scale distributed embedded systems such as automotive and process control have increased recently. Sophisticated systems in distributedsystems that are safe and environment friendly r...
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The size and complexity of large-scale distributed embedded systems such as automotive and process control have increased recently. Sophisticated systems in distributedsystems that are safe and environment friendly require numerous types of sensor data, which are collected from various devices and sent to computers through networks. In order to develop large-scale distributed embedded systems, distributed object technology such as CORBA is widely used. In this study, we focus our attention on MICO, an implementation of CORBA; we study the performance of MICO and the overhead of a sample distributed system. MICO can be used for developing an execution environment platform for distributed embedded system software.
Presents an original approach to automatic array alignment, the step in the hierarchical transformation system aimed at the efficient execution of shared memory programs on distributed memory machines. The array align...
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Presents an original approach to automatic array alignment, the step in the hierarchical transformation system aimed at the efficient execution of shared memory programs on distributed memory machines. The array alignment algorithm deals with a broad set of intra-dimension and inter-dimension alignment preferences, including offsets, strides, permutations, embeddings, and their combinations. The authors discuss the algorithm and the tests performed on the Connection Machine CM-2.< >
As the scale of high performance computing (HPC) continues to grow, application fault resilience becomes crucial. To address this problem, we are working on the design of an adaptive fault tolerance system for HPC app...
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As the scale of high performance computing (HPC) continues to grow, application fault resilience becomes crucial. To address this problem, we are working on the design of an adaptive fault tolerance system for HPC applications. It aims to enable parallel applications to avoid anticipated failures via preventive migration, and in the case of unforeseeable failures, to minimize their impact through selective checkpointing. Both prior and ongoing work are summarized in this paper.
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