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37th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC)

作者： Gehring, Tiago V. Vasilaki, Eleni Giugliano, Michele Univ Sheffield Dept Comp Sci Sheffield S10 2TN S Yorkshire England Univ Antwerp Dept Biomed Sci Theoret Neurobiol & Neuroengn Lab Antwerp Belgium Univ Sheffield INSIGNEO Inst Silico Med Sheffield S Yorkshire England Ecole Polytech Fed Lausanne Swiss Fed Inst Technol Lausanne Brain Mind Inst Lab Neural Microcircuitry CH-1015 Lausanne Switzerland

ISBN: (纸本)9781424492701

Technological advances of Multielectrode Arrays (MEAs) used for multi-site, parallel electrophysiological recordings, lead to an ever increasing amount of raw data being generated. Arrays with hundreds up to a few thousands of electrodes are slowly seeing widespread use and the expectation is that more sophisticated arrays will become available in the near future. In order to process the large data volumes resulting from MEA recordings there is a pressing need for new software tools able to process many data channels in parallel. Here we present a new tool for processing MEA data recordings that makes use of new programming paradigms and recent technology developments to unleash the power of modern highly parallel hardware, such as multi-core CPUs with vector instruction sets or GPGPUs. Our tool builds on and complements existing MEA data analysis packages. It shows high scalability and can be used to speed up some performance critical pre-processing steps such as data filtering and spike detection, helping to make the analysis of larger data sets tractable.

关键词： bioelectric phenomena biomedical electrodes data analysis filtering theory medical signal detection parallel processing GPGPU MEA data analysis packages MEA data recordings data channels data filtering data volumes extracellular recordings highly scalable parallel processing multicore CPU multielectrode arrays multisite parallel electrophysiological recordings parallel hardware programming paradigms software tools spike detection vector instruction sets Arrays Hardware Kernel programming Runtime Standards

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Linking Different programming paradigms - Thoughts about Instructional Design

Linking Different Programming Paradigms - Thoughts about Ins...

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15th Innovation and Technology in Computer Science Education Conference

作者： Ragonis, Noa Haberman, Bruria CS Track Beit Berl Coll Israel Sch Educ Beit Berl Israel

ISBN: (纸本)9781605588209

Educators recommend that students become acquainted with different programming paradigms in order to acquire alternative ways of computational thinking [3] and various approaches for problem solving [2]. Since students, learning different paradigms show both, positive and negative transfer effects, instructors should address it directly in the study track by relating to the characteristics of each paradigm, and specifically to the differences and similarities between them. In this poster, we investigate two programming paradigms- object-oriented programming and logic programming in the context of using inheritance for knowledge representation and problem solving.

关键词： programming paradigms problem solving object-oriented programming logic programming inheritance

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TRIZ-evolution of programming Systems

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Procedia Engineering 2015年 131卷 162-174页

作者： Victor Berdonosov Tatiana Sycheva Komsomolsk-na-Amure State Technical University Faculty of Computer Technologies Russia Komsomolsk-na-Amure State Technical University Information System Department Russia

The procedure of systematization programming languages on the TRIZ-evolution base is considered in the report. The procedure of systematization programming languages is illustrated on the example of the programming languages paradigms development. The algorithm of presentation TRIZ-evolution map [1] of the programming languages paradigms is described. The complete analysis of programming paradigms as specified in the evolution of programming languages allowed to determinate the progressing and inheritance paradigms of programming languages. The major contradictions had been arisen in the modern programming languages is established [2] . With the using of TRIZ tools it is derived solutions of contradictions and defined set of the properties, which will be included to the new programming paradigm. The Imperative Paradigm, the Object-Oriented Paradigm, the Functional Paradigm, and the Logic programming Paradigm are considered in the report. It is determined the principal contradictions which became the “moving force” of each new paradigm, solution of this contradictions on the base of TRIZ tools [3] . The evolution of programming languages by the criterion “from contradiction to contradiction” is formed. The TRIZ-evolutionary map on the base of TRIZ-tools which is used for transition on development programming paradigm is formed. The present approach usage allows forecast the appearance of new programming paradigms, new programming languages and new methods of programming. It becomes possible to determine the tendency of programming languages development and prediction of the next languages generations.

关键词： programming systems TRIZ-evolution systematization of knowledge concepts of systimatisation programming languages programming paradigms

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Hopper and Dijkstra: Crisis, Revolution, and the Future of programming

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IEEE ANNALS OF THE HISTORY OF COMPUTING 2014年第4期36卷 64-73页

作者： Payette, Sandy Cornell Univ Dept Commun Ithaca NY 14853 USA

In the late 1960s, tensions were erupting in corporate and academic computing cultures in the United States and abroad with competing views about the state of computer programming and possible future implications. This article examines the computer programming cultures during this period by viewing them through the lens of two dissimilar leaders, Grace Hopper and Edsger Dijkstra, who emphasized pragmatic versus theoretical stances, respectively.

关键词： Computer languages discourse of computer programming Edsger Dijkstra Grace Hopper History history of computing history of software engineering programming paradigms programming profession Rhetoric Software engineering

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A Domain-specific Language to Facilitate Software Defined Radio Parallel Executable Patterns Deployment on Heterogeneous Architectures

A Domain-specific Language to Facilitate Software Defined Ra...

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33rd IEEE International Performance, Computing, and Communications Conference (IPCCC)

作者： Mohapi, Lerato J. Winberg, Simon Inggs, Michael Univ Cape Town Radar Remote Sensing Grp Dept Elect Engn ZA-7925 Cape Town South Africa

ISBN: (纸本)9781479975754

In this paper, we present a domain-specific language, referred to as OptiSDR, that matches high level digital signal processing (DSP) routines for software defined radio (SDR) to their generic parallel executable patterns targeted to heterogeneous computing architectures (HCAs). These HCAs includes a combination of hybrid GPU-CPU and DSP-FPGA architectures that are programmed using different programming paradigms such as C/C++, CUDA, OpenCL, and/or VHDL. OptiSDR presents an intuitive single high-level source code and near specification-level approach for optimization and facilitation of HCAs. OptiSDR uses an optimized embedded domain-specific language (DSL) compiler framework called Delite. Our focus is on the programming language expressiveness for parallel programming and optimization of typical DSP algorithms for deployment on SDR HCAs. We demonstrate the capability of OptiSDR to express the solution to the issues of parallel DSP low-level implementation complexities in the closest way to the original parallel programming of SDR systems. This paper will achieve these by focusing on three generic parallel executable patterns suitable for DSP routines such as cross-correlation, convolution in FIR filter based Hilbert transformers, and fast Fourier transforms for spectral analysis. This paper concludes with a performance analysis using DSP algorithms that tests automatically generated code against hand-crafted solutions.

关键词： FIR filters Hilbert transforms convolution fast Fourier transforms parallel programming program compilers programming languages signal processing software radio spectral analysis telecommunication computing DSL compiler framework DSP algorithms DSP routines DSP-FPGA architectures Delite FIR filter OptiSDR SDR HCA cross-correlation digital signal processing domain-specific language heterogeneous computing architectures high-level source code hybrid GPU-CPU parallel executable patterns deployment programming language programming paradigms software defined radio Computer architecture DSL Digital signal processing Finite impulse response filters Graphics processing units programming

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PaRSRC: Exploiting Heterogeneity to Enhance Scalability

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COMPUTING IN SCIENCE & ENGINEERING 2013年第6期15卷 36-45页

作者： Bosilca, George Bouteiller, Aurelien Danalis, Anthony Faverge, Mathieu Herault, Thomas Dongarra, Jack J. Univ Tennessee Innovat Comp Lab Knoxville TN 37996 USA Bordeaux Inst Technol Bordeaux France Univ Tennessee Knoxville TN 37996 USA

New high-performance computing system designs with steeply escalating processor and core counts, burgeoning heterogeneity and accelerators, and increasingly unpredictable memory access times call for one or more dramatically new programming paradigms. These new approaches must react and adapt quickly to unexpected contentions and delays, and they must provide the execution environment with sufficient intelligence and flexibility to rearrange the execution to improve resource utilization. The authors present an approach based on task parallelism that reveals the application's parallelism by expressing its algorithm as a task flow. This strategy allows the algorithm to be decoupled from the data distribution and the underlying hardware, since the algorithm is entirely expressed as flows of data. This kind of layering provides a clear separation of concerns among architecture, algorithm, and data distribution. Developers benefit from this separation because they can focus solely on the algorithmic level without the constraints involved with programming for current and future hardware trends.

关键词： programming Computer Architecture Runtime Computational Modeling Parallel Processing Biological System Modeling Adaptation Models Scalability programming paradigms programming Computer Architecture Runtime Computational Modeling Parallel Processing Biological System Modeling Adaptation Models Scalability Scientific Computing High Performance Computing HPC Scheduling And Task Partitioning Distributed programming

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From "Think Like a Vertex" to "Think Like a Graph"

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PROCEEDINGS OF THE VLDB ENDOWMENT 2013年第3期7卷 193-204页

作者： Tian, Yuanyuan Balmin, Andrey Corsten, Severin Andreas Tatikonda, Shirish McPherson, John IBM Almaden Res Ctr Yorktown Hts NY 10598 USA GraphSQL Redwood City CA 94065 USA IBM Deutschland GmbH Berlin Germany

To meet the challenge of processing rapidly growing graph and network data created by modern applications, a number of distributed graph processing systems have emerged, such as Pregel and GraphLab. All these systems divide input graphs into partitions, and employ a "think like a vertex" programming model to support iterative graph computation. This vertex-centric model is easy to program and has been proved useful for many graph algorithms. However, this model hides the partitioning information from the users, thus prevents many algorithm-specific optimizations. This often results in longer execution time due to excessive network messages (e.g. in Pregel) or heavy scheduling overhead to ensure data consistency (e.g. in GraphLab). To address this limitation, we propose a new "think like a graph" programming paradigm. Under this graph-centric model, the partition structure is opened up to the users, and can be utilized so that communication within a partition can bypass the heavy message passing or scheduling machinery. We implemented this model in a new system, called Giraph++, based on Apache Giraph, an open source implementation of Pregel. We explore the applicability of the graph-centric model to three categories of graph algorithms, and demonstrate its flexibility and superior performance, especially on well-partitioned data. For example, on a web graph with 118 million vertices and 855 million edges, the graph-centric version of connected component detection algorithm runs 63X faster and uses 204X fewer network messages than its vertex- centric counterpart.

关键词： Graph theory Iterative methods Machinery Message passing Open source software Open systems Scheduling Connected component Graph algorithms Graph computations Modern applications Open source implementation Partition structures programming models programming paradigms

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Concurrency and Message Passing in Erlang

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COMPUTING IN SCIENCE & ENGINEERING 2012年第6期14卷 24-34页

作者： Vinoski, Steve Basho Technologies

Developers use the open source Erlang programming language in domains such as telecommunications, database systems, and the Web due to its superior support for concurrency and reliability. Erlang applications comprise numerous processes-lightweight user-space threads-that communicate via message passing. This article focuses on Erlang's concurrency support and details an example 1D Poisson solver program.

关键词： Welding Concurrent Computing programming Telecommunications Reliability Syntactics Pattern Matching Scientific Computing Applicative Functional programming Concurrent programming programming paradigms Concurrent Languages Distributed Languages Parallel Languages

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An Approach to a Pattern for Business Process Management and Deployment of Software Engineering for Small Companies in a Crossplatform Era

An Approach to a Pattern for Business Process Management and...

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2nd International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)

作者： Fernandez-Garcia, Antonio Iribarne, Luis Criado, Javier Vallecillos, Jesus Ingn Alborada IDI Huercal Overa Almeria Spain Univ Almeria Appl Comp Grp Almeria Spain

ISBN: (纸本)9781467324892

Software engineering and its constant evolution bring new concepts, new technologies and new devices. It requires big efforts, skills and resources to acquire in depth knowledge of all the parts that are necessary for building applications professional and efficiently today. Many small technological companies and freelance developers have serious doubts about how to manage a project, where to start it and how to evolve it. Cloud Computing, Web Services, Databases, Server Side programming, Web and Native Applications for clients and many more are mandatory to know, understand and study to give to the project development technical and economical viability. This paper describes the theory of technologies, frameworks and common tools and proposes a widely used modern development pattern with good results.

关键词： Web Services Cloud Computing Business Process Management Service-Oriented Architecture programming paradigms Startups Minimum Viable Product

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Understanding programming Technologies by Analogy, Examples, and Abstraction Extended Abstract (AOSD'11 Tutorial) 11

Understanding Programming Technologies by Analogy, Examples,...

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10th International Conference on Aspect-Oriented Software Development (AOSD)

作者： Laemmel, Ralf Univ Koblenz Landau Software Languages Team Mainz Germany

ISBN: (纸本)9781450305563

We have a problem: there is a stunning number of programming technologies out there. There are silos of knowledge around these technologies and technical spaces. In fact, it is not even clear that this abundance can still be approached by computer scientists. Q: How can we possibly understand those technologies in an academically valid manner? A: By analogy, examples, and abstraction!

关键词： Technical Spaces programming Technologies programming Techniques programming paradigms X/O/R Mapping Software Languages

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