• Title/Summary/Keyword: multithread

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An Extension to Time-out Facility in C Language for Embedded Real-Time Programming (내장 실시간 프로그래밍을 위한 C 언어의 타임아웃 기능의 확장)

  • Lee, Sheen;Yang, Seung-Min
    • Journal of KIISE:Computing Practices and Letters
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    • v.8 no.4
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    • pp.423-429
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    • 2002
  • Time-out is one of the basic but important functions in real-time programming. However, the C language used commonly in the embedded real-time systems doesn't support this capability. For this capability, there have been numerous studies on language extension and/or special purpose real-time kernel (or engine). Those require preprocessor or new kernel support. In this paper, we propose a time-out facility supported by a library and some macro functions with a minimum dependency on operating systems. Furthermore, we also provide a structured _within statement, a macro function which makes programming easy. We have implemented this for the LINUX and the DOS environment, and for the POSIX multithread environment as well.

Transform Nested Loops into MultiThread in Java Programming Language for Parallel Processing (자바 프로그래밍에서 병렬처리를 위한 중첩 루프 구조의 다중스레드 변환)

  • Hwang, Deuk-Young;Choi, Young-Keun
    • The Transactions of the Korea Information Processing Society
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    • v.5 no.8
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    • pp.1997-2012
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    • 1998
  • It is necessary to find out the parallelism in tlle sequential Java program to execute it on the parallel machine. The loop is a fundamental source to exploit parallelism as it process a large portion of total execution time in sequential Java program on the parallel machine. However, a complete parallel execution can hardly be achieved due to data dependence. This paper proposes the method of exploiting the implicit parallelism by structuring a dependence graph through the analysis of data dependence in the existing Java programming language having a nested loop structure. The parallel code generation method through the restructuring compiler and also the translation method of Java source program into multithread statement. which is supported by the Java programming language itself, are proposed here. The perforance evaluatlun of the program translaed into the thread statement is conducted using the trip cunt of loop and the trip Count of luop and the thread count as parameters The resttucturing compiler provides efficient way of exploiting parallelism by reducing manual overhead conveliing sequential Java program into parallel code. The execution time for the Java program as a result can be reduced un the parallel machine.

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Development of a Remotely Sensed Image Processing/Analysis System : GeoPixel Ver. 1.0 (JAVA를 이용한 위성영상처리/분석 시스템 개발 : GeoPixel Ver. 1.0)

  • 안충현;신대혁
    • Korean Journal of Remote Sensing
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    • v.13 no.1
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    • pp.13-30
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    • 1997
  • Recent improvements of satellite remote sensing sensors which are represented by hyperspectral imaging sensors and high spatial resolution sensors provide a large amount of data, typically several hundred megabytes per one scene. Moreover, increasing information exchange via internet and information super-highway requires the developments of more active service systems for processing and analysing of remote sensing data in order to provide value-added products. In this sense, an advanced satellite data processing system is being developed to achive high performance in computing speed and efficieney in processing a huge volume of data, and to make possible network computing and easy improving, upgrading and managing of systems. JAVA internet programming language provides several advantages for developing software such as object-oriented programming, multi-threading and robust memory managent. Using these features, a satellite data processing system named as GeoPixel has been developing using JAVA language. The GeoPixel adopted newly developed techniques including object-pipe connect method between each process and multi-threading structure. In other words, this system has characteristics such as independent operating platform and efficient data processing by handling a huge volume of remote sensing data with robustness. In the evaluation of data processing capability, the satisfactory results were shown in utilizing computer resources(CPU and Memory) and processing speeds.