Software portability

About: Software portability is a research topic. Over the lifetime, 8987 publications have been published within this topic receiving 164922 citations. The topic is also known as: portability.

Neptune: a domain specific language for deploying hpc software on cloud platforms

Abstract: In this paper, we present the design and implementation of Neptune, a domain specific language (DSL) that automates configuration and deployment of existing HPC software via cloud computing platforms. We integrate Neptune into a popular, open-source cloud platform, and extend the platform with support for user-level and automated placement of cloud services and HPC components. Such platform integration of Neptune facilitates hybrid-cloud application execution as well as portability across disparate cloud fabrics. Supporting additional cloud fabrics through a single interface enables high throughput computing (HTC) to be achieved by users who do not necessarily own grid-level resources but do have access to otherwise independent cloud technologies.We evaluate Neptune using different applications that employ a wide range of popular HPC packages for their implementation including MPI, X10, MapReduce, DFSP, and dwSSA. In addition, we show how Neptune can be extended to support other HPC software and application domains, and thus be used as a mechanism for many task computing (MTC).

Miniaturized NIR Spectroscopy in Food Analysis and Quality Control: Promises, Challenges, and Perspectives

Abstract: The ongoing miniaturization of spectrometers creates a perfect synergy with the common advantages of near-infrared (NIR) spectroscopy, which together provide particularly significant benefits in the field of food analysis. The combination of portability and direct onsite application with high throughput and a noninvasive way of analysis is a decisive advantage in the food industry, which features a diverse production and supply chain. A miniaturized NIR analytical framework is readily applicable to combat various food safety risks, where compromised quality may result from an accidental or intentional (i.e., food fraud) origin. In this review, the characteristics of miniaturized NIR sensors are discussed in comparison to benchtop laboratory spectrometers regarding their performance, applicability, and optimization of methodology. Miniaturized NIR spectrometers remarkably increase the flexibility of analysis; however, various factors affect the performance of these devices in different analytical scenarios. Currently, it is a focused research direction to perform systematic evaluation studies of the accuracy and reliability of various miniaturized spectrometers that are based on different technologies; e.g., Fourier transform (FT)-NIR, micro-optoelectro-mechanical system (MOEMS)-based Hadamard mask, or linear variable filter (LVF) coupled with an array detector, among others. Progressing technology has been accompanied by innovative data-analysis methods integrated into the package of a micro-NIR analytical framework to improve its accuracy, reliability, and applicability. Advanced calibration methods (e.g., artificial neural networks (ANN) and nonlinear regression) directly improve the performance of miniaturized instruments in challenging analyses, and balance the accuracy of these instruments toward laboratory spectrometers. The quantum-mechanical simulation of NIR spectra reveals the wavenumber regions where the best-correlated spectral information resides and unveils the interactions of the target analyte with the surrounding matrix, ultimately enhancing the information gathered from the NIR spectra. A data-fusion framework offers a combination of spectral information from sensors that operate in different wavelength regions and enables parallelization of spectral pretreatments. This set of methods enables the intelligent design of future NIR analyses using miniaturized instruments, which is critically important for samples with a complex matrix typical of food raw material and shelf products.

Edite - A Natural Language Interface to Databases A new dimension for an old approach

Abstract: This article presents the Edite system, a Natural Language Interface for Databases (NLIDB), that tries to explore the advantages of joining natural language processing with the expressiveness of graphical interfaces. In order to guarantee a permanent adaptation of this type of solution to a dynamic domain one should consider two critical fundamental factors: extensibility and portability.

Poker on the Cosmic Cube: The First Retargetable Parallel Programming Language and Environment.

Abstract: : This paper describes a technique for retargetting Poker, the first complete parallel programming environment, to new parallel architectures. The specifics are illustrated by describing the retarget of Poker to CalTech's Cosmic Cube. Poker requires only three features from the target architecture: MIMD operation, message passing inter-process communication, and a sequential language (e.g. C) for the processor elements. In return Poker gives the new architecture a complete parallel programming environment which will compile Poker parallel programs without modification, into efficient object code for the new architecture. Keywords: Poker parallel programming; Software portability.

TMO-Linux: a Linux-based real-time operating system supporting execution of TMOs

Abstract: The TMO (time-triggered message-triggered object) model is a well-known real-time object model for distributed and timeliness-guaranteed computing. We developed two TMO execution engines, named WTMOS and LTMOS, the former is for Windows platforms and the latter is for Linux platforms. Those are middleware engines supporting deadline driven real-time execution of TMO methods and distributed IPC. The engines have several advantages such as heterogeneous computing support, flexibility, and high portability. However, the deadline-driven schedulers of the middlewares lose temporal accuracy in some cases because the scheduling is performed by controlling priorities of real-time threads. To increase temporal accuracy and reduce overhead by middlewares, we developed a new Linux-based operating system named "TMO-Linux" that supports distributed real-time execution of TMO instances as embedded services of an operating system. In this paper, we present the functions and structure of TMO-Linux. Our preliminary experimental results show that TMO-Linux has better timing accuracy and performance than the middleware engines.