Inter-process Communication Techniques Research Articles

Larch: An Analysis Package for XAFS and Related Spectroscopies

LARCH, a package of analysis tools for XAFS and related spectroscopies is presented. A complete rewrite of the ifeffit package, the initial release of larch preserves the core XAFS analysis procedures such as normalization, background subtraction, Fourier transforms, fitting of XANES spectra, and fitting of experimental spectra to a sum of feff Paths, with few algorithmic changes made in comparison to IFEFFIT. LARCH is written using Python and its packages for scientific programming, which gives significant improvements over IFEFFIT in the ability to handle multi-dimensional and large data sets, write complex analysis scripts, visualize data, add new functionality, and customize existing capabilities. Like the earlier version, larch can run from an interactive command line or in batch-mode, but larch can also be run as a server and accessed from clients using standard inter-process communication techniques available in a variety of computer languages. larch is freely available under an open source license. Examples of using larch are shown, future directions for development are discussed, and collaborations for adding new capabilities are actively sought.

Making the PACS workstation a browser of image processing software: a feasibility study using inter-process communication techniques

To enhance the functional expandability of a picture archiving and communication systems (PACS) workstation and to facilitate the integration of third-part image-processing modules, we propose a browser-server style method. In the proposed solution, the PACS workstation shows the front-end user interface defined in an XML file while the image processing software is running in the background as a server. Inter-process communication (IPC) techniques allow an efficient exchange of image data, parameters, and user input between the PACS workstation and stand-alone image-processing software. Using a predefined communication protocol, the PACS workstation developer or image processing software developer does not need detailed information about the other system, but will still be able to achieve seamless integration between the two systems and the IPC procedure is totally transparent to the final user. A browser-server style solution was built between OsiriX (PACS workstation software) and MeVisLab (Image-Processing Software). Ten example image-processing modules were easily added to OsiriX by converting existing MeVisLab image processing networks. Image data transfer using shared memory added <10ms of processing time while the other IPC methods cost 1-5 s in our experiments. The browser-server style communication based on IPC techniques is an appealing method that allows PACS workstation developers and image processing software developers to cooperate while focusing on different interests.

통신 시스템을 위한 공유 메모리 기반 CORBA 연동 프로토콜 설계 및 구현

Distributed systems present new system architecture for solving interoperability problem in heterogeneous system. This paper presents CORBA Inter-ORB protocol model based on shared memory to support communication software through analysis of existing CORBA IIOP protocol performance and Inter-Process Communication techniques. In the same host environment, proposed model applied standard CORBA mechanism to minimize message transfer overhead can develop software independently to hardware architecture of target communication system. This communication software that has flexibility and extensibility can improve productivity, duality and reusability of software.

A Framework for Parallel Traffic Simulation Using Multiple Instancing of a Simulation Program

Parallel traffic simulation is an application of parallel computing techniques that aims to decrease the computation time by engaging different processors of a multiprocessor system or different computers of a network. Very few traffic simulation models have this capability of parallel simulation. However, it is possible to upgrade a simulation program that is not capable of running parallel simulation by applying the method proposed in this article. The method involves dividing the network into regions and simulating each region under a separate instance of the program. Suitable interprocess communication techniques are employed to exchange data between different regions and synchronize time among the different regions. A significant increase in simulation speed is seen when the proposed method is applied to Paramics, a microscopic time-stepping simulation program.

A Framework for Parallel Traffic Simulation Using Multiple Instancing of a Simulation Program

Parallel traffic simulation is an application of parallel computing techniques that aims to decrease the computation time by engaging different processors of a multiprocessor system or different computers of a network. Very few traffic simulation models have this capability of parallel simulation. However, it is possible to upgrade a simulation program that is not capable of running parallel simulation by applying the method proposed in this article. The method involves dividing the network into regions and simulating each region under a separate instance of the program. Suitable interprocess communication techniques are employed to exchange data between different regions and synchronize time among the different regions. A significant increase in simulation speed is seen when the proposed method is applied to Paramics, a microscopic time-stepping simulation program.

Loops—limited object oriented patient simulator: Design criteria for a patient simulation model

Economic realities forced the development of computer-based courseware to supplement large-scale exercises in prehospital management of large accidents. The patient simulator is one part of a command and decision training system. This paper presents the design criteria and some clinical aspects of the patient simulator part of this program series. As the aim of the programs is to teach and train actions within the first few hours of the accident, the `physiology' of the simulated patient can be reduced to quite a limited number of parameters. The simulation combines traditional simulation techniques with some table driven probabilistic methods and some fuzzy logic. The interprocess communication techniques and the platform considerations are discussed to the extent that they determine model parameters.