DEVS has been proposed as the basic modeling and simulation framework for Model-Based System Engineering (MBSE) methodology that supports the critical stages in top down design of complex systems. Here we propose a no...
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This paper designs a VMF interoperation solution framework, and proposes an automatic generation method for VMF codecs, VMF-FMF translation unit and VMF-HLA gateway based on VMF data element dictionary, FMF data eleme...
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In this paper, we propose and evaluate several optimized implementations of the general matrix multiplication (gemm) on two different RISC-V architecture cores implementing the RISC-V vector extension (RVV): C906 and ...
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The problem of managing an effective relationship between course staff and students in large programming courses admits no trivial solution. Students often complain of lack of feedback, slow assignment grading times, ...
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The problem of managing an effective relationship between course staff and students in large programming courses admits no trivial solution. Students often complain of lack of feedback, slow assignment grading times, and a gap in communication between them and the course staff responsible for evaluating their work. In addition, course staff feels powerless to help because of the complexity and sheer numbers of students involved in such courses. In this paper, we describe our Web-based distributed application, FrontDesk that attempts to bridge the feedback and communication gap that these courses suffer from. FrontDesk provides tools for students to submit their work through the Web and to receive rich, informative feedback. It provides course staff with the ability to give effective subjective feedback for large courses and to automate objective programming assignment correctness testing in a flexible, distributed, and efficient manner.
The production process of a refinery is a complicated process, which consists of immense units. For some units, the products are multiple, so does the feasible operation mode of products of certain units. Which kind o...
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The production process of a refinery is a complicated process, which consists of immense units. For some units, the products are multiple, so does the feasible operation mode of products of certain units. Which kind of operation mode is utilized decides the production strategy of a refinery. In this paper, how to gain reasonable production strategy is focused on due to the immense benefit it can bring to, and a production strategy optimization model based on mixed bi-level programming method is presented to solve this problem. All the units included in the production process are divided into two levels, and most of the production information of them is integrated by a database system in the model. How the optimization model can be used as a viable tool is also showed by a simple case study at Daqing refinery
The advent of multicore processors has raised new demand for harnessing concurrency in the software mass market. We summarise our previous work on the data parallel, functional array processing language SaC. Its compi...
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ISBN:
(纸本)1595936904
The advent of multicore processors has raised new demand for harnessing concurrency in the software mass market. We summarise our previous work on the data parallel, functional array processing language SaC. Its compiler technology is geared towards highly runtime-efficient support for shared memory multiprocessors and, thus, is readily applicable to today's off-the-shelf multicore systems. Copyright 2007 ACM.
The paper describes a way of extending the flexibility of example-based programming. The purpose of introducing such a programming style is to provide the user with a way of telling the system why and how he operates ...
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The paper describes a way of extending the flexibility of example-based programming. The purpose of introducing such a programming style is to provide the user with a way of telling the system why and how he operates on it. This ability is achieved by introducing three mechanisms for target object specification, goal-driven execution, and parameter transfer by means of a clipboard. In the system, the user can specify the relationship between the application status, the target object, and the user operation. A flexible programming capability can be provided as a monitoring function for system support. Consequently, the user can apply the programming-by-example facility to any applications implemented on top of this system.< >
Optimism is a powerful technique for avoiding latency by increasing concurrency. By optimistically assuming the results of some computation, other computations can be executed in parallel, even when they depend on the...
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ISBN:
(纸本)9780818670886
Optimism is a powerful technique for avoiding latency by increasing concurrency. By optimistically assuming the results of some computation, other computations can be executed in parallel, even when they depend on the assumed result. Optimistic techniques can be particularly beneficial to parallel and distributed systems because of the critical impact of inter-node communications latency. This paper describes how optimism can be used to enhance the performance of distributed programs by avoiding remote communications delay. We then present a new programming model that automates many of the difficulties of using optimistic techniques in a general programming environment, and describe a prototype implementation. Finally, we present performance measurements showing how optimism improved the performance of a test application in this environment.
Minimal generators (MGs) are the minimal ones ( w.r.t. the number of items) among equivalent itemsets sharing a common set of objects, while their associated closed itemset (CI ) is the largest one. The pairs - compos...
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An evolutionary programming is proposed in this paper to automatically design neural networks (NNs) ensembles. Based on negative correlation learning, different individual NNs in the ensemble can learn to subdivide th...
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ISBN:
(纸本)0780378652
An evolutionary programming is proposed in this paper to automatically design neural networks (NNs) ensembles. Based on negative correlation learning, different individual NNs in the ensemble can learn to subdivide the task and thereby solve it more efficiently and elegantly. At the same time, different individual NNs are always to find the best collaboration connection during the evolutionary process. In addition, the architecture of each NN in the ensemble and the size of the ensemble need not to be predefined. The simulation results show that the proposed method in this paper is valid.
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