parallel cluster 中文意思是什麼
parallel cluster
解釋
並列發動機簇-
It has been offering secure network service to 600 local scientific researchers and some other internet users. the network parallel computation cluster inside the system has been applied to carry on magnanimity supercomputing of quantum chemistry by researchers in the state key laboratory of structure chemistry. it is highly appraised by experts and users
系統實現后已經提供了安全網路服務給600名本地科研用戶以及一些所外網際網路用戶；同時該系統中所包含的網路并行計算機群正在為中國科學院福建物質結構研究所結構化學國家重點實驗室的科研用戶提供量子化學海量超級計算服務。 -
At last this paper brought forth prospect for the more research on real - time cluster parallel computer system
論文對系統的可靠性做了細致地分析，並對系統進行了功能和性能測試。 -
Large - scale parallel computation is main model of cluster - based applications. at the same time, large - scale batch computation also is an important model of cluster - based applications
大規模并行計算是集群系統的主要應用模式，但是，大量批作業提交與處理也是一種較廣泛的應用模式。 -
2. cluster of workstation ( cow ) has been established as a parallel computing platform. 3. a parallel computing program of two - dimension flow numerical calculation has been completed. some important techniques such as communication among nodes and load balancing are analyzed
（ 2 ）利用以太網來連接一組微機，以linux操作系統和消息傳遞介面（ messagepassinginterface ， mpi ）為并行程序開發環境，建立了集群式的并行計算系統。 -
Improvements in microprocessor and networking performance have made cluster system a very attractive platform for high - end parallel and distributed computing
隨著微處理器技術和高性能網路技術的飛速發展，集群計算逐漸成為一種有成本效益的并行分散式計算資源。 -
It probed into the key technology of realizing the integrated development environment, including the methods to implement a code editor which support many features as automatic syntax highlighting, code autocompletion etc. ; the scheme and technology to compile and link the source code on the heterogeneous cluster system ; the analysis and use of the api of pbs, a widely used job management system ; the scheme and technology to distribute and manage the parallel jobs on the heterogeneous cluster system ; the methods to implement the monitor and control system of cluster nodes. and then the parallel programming integrated development & management environment ( ppidme ) was implemented base on the above analyses. finally, an example is presented which use ppidme in parallel programming
本文在對異構機群并行計算環境研究的基礎上，提出了對于程序員友好、方便和實用的集成開發環境應該具備的要素，著重探討了實現集成開發環境的關鍵技術，其中包括支持語法高亮等功能的源代碼編輯器的實現方法、異構機群環境下源程序編譯連接及并行作業分發管理的實現方案與技術、 openpbs作業管理系統的應用編程介面的分析與使用、機群節點的管理與監控實現方法等，並基於上述關鍵技術設計與實現了異構機群系統集成開發管理環境軟體ppidme ，最後給出了使用ppidme進行并行程序開發的一個應用實例。 -
" large - scale parallel visualization " ( in japanese ), chapter 6 ( pp. 75 - 90 ) of the book " parallel finite element analysis i : cluster computing ", hiroshi okuda, kengo nakajima, etal. ( eds. ), bifukan publisher, tokyo, july 2004, isbn4 - 563 - 06738 - 5 c3053
編寫了《計算機圖形學教程》 （修定版）的第十三章"科學計算可視化" 。該書由唐榮錫、汪嘉業、彭群生等編著。 -
This thesis mainly focuses on the multi - level parallelism development and performance optimization of scientific programs on this architecture, and our works are summarized as follows. ( 1 ) we put forward the multi - level parallel computing time model, which is suitable for smp cluster to analyze program performance from the micro - aspect. we also provide a multi - level parallel optimization speedup model based on the single - processor speedup factor, which can evaluate program performance from three parallel levels and guide us to improve the programs
本文圍繞這種多級并行體系結構中的超節點級、節點級和單機指令級三個層次的并行性開發與優化，在科學計算程序的綜合優化技術研究方面做了以下的工作與創新: （ 1 ）針對smp集群體系結構提出了多級并行計算時間模型，用於程序性能的微觀分析;將單機處理速度與加速比統一起來，提出了基於單機優化加速因子的多級并行優化加速比評價模型，該模型分別從三個并行層次的角度出發對程序性能進行評價，並指導對程序的改進與優化。 -
Research on cluster - based parallel finite element analysis
基於集群的并行有限元分析研究 -
After analyzing the characteristic of the parallel processing system, some problems about design missile - carrying processing system are pointed out ; network in the parallel processing system has become bottleneck and affect the performance of system, so the processing efficiency is analyzed in a multiprocessor system based on cluster - bus and some rules in designing the network in the multiprocessor system are brought out ; genetic algorithm is used for scheduling in the multiprocessor system, and a scheduling algorithm is described to suit arbitrary number of tasks, unequal task processing time, arbitrary precedence relation among tasks and arbitrary number of parallel processor, so that the schedule length will be minimized ; finally, an atr algorithm is mapped to a ring multiprocessor system, and a block diagram using dsp device is constructed. in chapter 4, the study is performed on real - time system hardware realization of atr. tms320c80 is selected as the kernel processor in multiprocessor system
為此，對一種由常用的dsp晶元組成的多處理器系統的處理器利用率進行了分析，提出了多處理器系統互連網路設計的基本原則；本章使用遺傳演算法作為實現多處理器調度的工具，提出了一種新的任務調度演算法，該演算法主要是為了解決在任務數任意、任務計算時間不相等、任務前趨關系任意、以及任務間存在通信和考慮任務存貯器要求的情況下，如何優化任務在各個處理器上的分配和執行順序，使得多處理器系統總的執行時間最小；最後對一個目標識別演算法進行了硬體實現優化分析，根據分析結果，將演算法映射到由dsp晶元組成的環形網路連接的處理器拓撲結構上，得到了多處理器系統的原理框圖。 -
With the development of computer technology and network technology, the distributed parallel computation environment that based on network become a new high performance calculation environment because of its high cost performance and big range, large quantity heterogeneous cluster system parallel computation
隨著計算機技術和網路技術的發展，以網路為基礎的分散式并行計算環境以其較高的性能價格比和大范圍、大數量異構機群并行成為新的高性能計算環境。 -
Nowadays, the most popular parallel computer architectures in the world are smp, mpp, cow and smp cluster, etc. smp cluster, which combines the characteristics of both shared memory and distributed memory architectures, is not only powerful in computing capabilities but also excellent in scalabilities
目前國內外流行的并行計算機體系結構主要有smp 、 mpp 、 cow和smp集群等，其中smp集群體系結構結合了共享存儲和分散式存儲兩種體系結構的特點，同時兼顧了計算性能和可擴展性兩個方面。 -
Based on the analysis of the high performance cluster and the comparison of the cluster ' s network, the thesis chooses the scalable coherent interface ( sci ) to design the cluster, and then realizes the weather parallel application on it
本文通過對高性能集群技術的分析和對集群互連網路的測試比較，選用sci可擴展一致性介面技術設計了一個高性能集群，並實現了氣象并行計算在高性能集群上的應用。 -
Under the networked pc cluster parallel computing environment, the parallel boundary element method ( bem ) used to analyze elasto - static, elasto - dynamic and elasto - plastic structure is studied in this dissertation and applied to analysis of hydraulic structure
本文主要在網路微機機群并行計算環境下，對彈性靜力、彈性動力和彈塑性結構的并行邊界元分析方法進行了研究，並在水工結構分析中進行了實際應用。 -
The portable, extensible toolkit for scientific computation, petsc, has become a model of the high performance numerical software which gains huge attention and wide use in commuting community throughout the world. our selection of petsc as the target model of studying is based on following reasons : petsc uses mpi for all parallel communication, which is most fittable for general scalable computing, especially on our pc - cluster platform. petsc is a general purpose suite : of tools for the scalable solution of partial differential equations and related problems, which is much in accord with our research focus
可移植、可擴展科學計算軟體包petsc是近來在國際上很受關注、應用廣泛的高性能并行數值軟體開發典範之一，我們對它的重點學習與研究主要出於以下考慮： petsc基於mpi并行程序設計平臺，適合於我們常用的并行計算機尤其是機群系統；它以偏微分方程、代數方程求解功能為實現重點，非常切合於我們的主要研究方向和應用需求；尤為重要的是，在其良好的軟體使用模式和執行性能下隱含的先進軟體設計思想和程序實現方案，對我們今後的數值軟體開發很有借鑒意義。 -
Secondly, according to dct sequential algorithm, a dct parallel algorithm is designed in cluster environment
文中設計的并行演算法已經在now上的mpi平臺上實現。 -
Firstly, according to the fft sequential algorithm, a parallel algorithm is mainly designed, which compute fourier transform in cluster environment
首先，根據快速傅立葉變換的串列演算法（ fft ） ，重點設計了在機群環境下求解計算傅立葉變換的并行演算法，詳細描述了設計思路，設計策略。 -
Based on above theoretical bases, in this paper an optimal control model of master / slave parallel genetic algorithm to solve dta problem is proposed. based on the drawing cluster with distributed storage and message passing system, this algorithm is implemented in the master / slave mode of the pvm parallel platform
在上述理論基礎上，實現了最優控制動態交通分配的主從式并行遺傳演算法，並在基於分散式存儲和消息傳遞體系結構的曙光機群系統下，應用并行編程環境pvm下master slave模式完成了上述演算法。 -
Parallel computers have developed from the big special vector computer to the parallel mutiple processor, and now to the more popular cluster of workstation
并行計算機從以前的大型專用向量機，發展到并行多處理器系統，以及現在比較流行的工作站機群系統。 -
In order to save calculating time, the parallel computation of simplified experimental dual - mode scramjet combustors has been implemented on a cluster of workstations based on pvm platform in a multidomain - multiprocessor manner. high parallel efficiency and fine results have been obtained
為縮短計算時間和節約計算資源，針對試驗模型，首先採用單片區域計演算法，在工作站群機的pvm并行環境下進行了混合與燃燒流場的多區，多機并行計算，取得了較高的并行效率和與試驗一致的計算結果。
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