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International Conference on Inventive Systems and Control (ICISC)

作者： Kumar, Anil S. Univ Kerala Examinat Wing EE II S Thiruvananthapuram Kerala India

ISBN: (纸本)9781509047154

Computing techniques like Cloud computing demand for very high level of parallelism, which has been achieved at hardware level through advancements in Computer Architecture. However to exploit the maximum benefits of the hardware parallelism, the software solutions implemented in such systems also shall exhibit parallel processing capabilities. Most of the popular problem solving methods and algorithms need not be capable for imparting parallelism in software solutions. This opens up the scope for the exploration aiming alternative solution models with capabilities to achieve parallel, scalable and distributable nature in processes. This study illustrates the scope of seeking alternative process models to achieve software parallelism at component level, using simple meta-models of mathematical problems.

关键词： software parallelism Meta-models Alternative Process Models Process Designing

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An Analysis of software parallelism in Big Data Technologies for Data-Intensive Architectures 15th

An Analysis of Software Parallelism in Big Data Technologies...

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15th European Conference on software Architecture (ECSA)

作者： Cerezo, Felipe Cuesta, Carlos E. Vela, Belen Univ Rey Juan Carlos VorTIC3 Res Grp C Tulipan S-N Madrid 28933 Spain

ISBN: (纸本)9783030860448;9783030860431

Data-intensive architectures handle an enormous amount of information, which require the use of big data technologies. These tools include the parallelization mechanisms employed to speed up data processing. However, the increasing volume of these data has an impact on this parallelism and on resource usage. The strategy traditionally employed to increase the processing power has usually been that of adding more resources in order to exploit the parallelism;this strategy is, however, not always feasible in real projects, principally owing to the cost implied. The intention of this paper is, therefore, to analyze how this parallelism can be exploited from a software perspective, focusing specifically on whether big data tools behave as ideally expected: a linear increase in performance with respect to the degree of parallelism and the data load rate. An analysis is consequently carried out of, on the one hand, the impact of the internal data partitioning mechanisms of big data tools and, on the other, the impact on the performance of an increasing data load, while keeping the hardware resources constant. We have, therefore, conducted an experiment with two consolidated big data tools, Kafka and Elasticsearch. Our goal is to analyze the performance obtained when varying the degree of parallelism and the data load rate without ever reaching the limit of hardware resources available. The results of these experiments lead us to conclude that the performance obtained is far from being the ideal speedup, but that software parallelism still has a significant impact.

关键词： Data-intensive architecture software parallelism Partitioning Big data technologies Linear scalability

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IMAGE-PROCESSING BY software PARALLEL COMPUTATION

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IMAGE AND VISION COMPUTING 1989年第2期7卷 122-128页

作者： PACHOWICZ, PW Department of Computer Science George Mason University 4400 University Drive Fairfax VA 22030-4444 USA

A model for software parallel computing of packed data as grey-level and binary images is presented. This semiparallel processing system is divided into five layers, three of which are described in detail; low-level parallel operations, high-level parallel operations and procedures for image processing. The system has been implemented on a simple sequential minicomputer and an increase of computing speed has been obtained compared with sequential pixel processing. Two suggestions are made for a related hardware work.

关键词： image processing semi-parallel processing software parallelism

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HW/SW Co-design for Multi-core System on ESL Virtual Platform

HW/SW Co-design for Multi-core System on ESL Virtual Platfor...

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International Symposium on VLSI Design, Automation and Test (VLSI-DAT)

作者： Chuang, I-Yao Fan, Tso-Yi Lin, Chi-Hung Liu, Chun-Nan Yeh, Jen-Chieh Ind Technol Res Inst Informat & Commun Res Labs Hsinchu Taiwan

ISBN: (纸本)9781424484997

Multi-core system and the associated software parallelization techniques have become one of the major trends of SoC design. A multi-core system with high hardware efficiency and software parallelism has the potential of achieving higher system performance and lower power consumption. This paper reveals how system performance prediction and analysis for multi-core system can be done at early design stage before having implemented the real chip by adopting ESL design methods and virtual platform techniques that has high timing accuracy and simulation speed. Based on the multi-core ESL virtual platform, we have performed one to eight DSP-cores system performance analysis and obtained the performance trend observation. Moreover, the software parallelization experiments to observe the performance improvement are explored.

关键词： DSP-core system performance analysis Decoding ESL virtual platform Hardware Memory management Multicore processing SoC design software System performance circuit simulation digital signal processing chips hardware efficiency hardware-software codesign hardware-software codesign multicore system multiprocessing systems parallel processing power consumption simulation speed software parallelism software parallelization techniques system performance prediction system-on-chip timing accuracy video processing video signal processing

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On the Energy-Performance Tradeoff for Parallel Applications

On the Energy-Performance Tradeoff for Parallel Applications

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7th European Performance Engineering Workshop

作者： Majumdar, Shikharesh Carleton Univ Dept Syst & Comp Engn Ottawa ON K1S 5B6 Canada

ISBN: (纸本)9783642157837

Improving software performance by deploying parallel software on multiple processors often comes at the cost of increasing energy consumption. This paper focuses on such energy-performance tradeoffs. Techniques for computing bounds on software speedup and energy factor that captures the energy cost are presented. Numeric examples for the bounding techniques lead to valuable insights regarding system behaviour, energy and performance.

关键词： Amdahl's Law software parallelism Speedup Average parallelism Speedup Bounds

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PRESTO - A SYSTEM FOR OBJECT-ORIENTED PARALLEL PROGRAMMING

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software-PRACTICE & EXPERIENCE 1988年第8期18卷 713-732页

作者： BERSHAD, BN LAZOWSKA, ED LEVY, HM Department of Computer Science FR-35 University of Washington Seattle WA 98195 U.S.A.

PRESTO is a programming system for writing object-oriented parallel programs in a multiprocessor environment. PRESTO provides the programmer with a set of pre-defined object types that simplify the construction of parallel programs. Examples of PRESTO objects are threads, which provide fine-grained control over a program's execution, and synchronization objects, which allow simultaneously executing threads to co-ordinate their activities. The goals of PRESTO are to provide a programming environment that makes it easy to express concurrent algorithms, to do so efficiently, and to do so in a manner that invites extensions and modifications. The first two goals, which are the focus of this paper, allow a programmer to use parallelism in a way that is naturally suited to the problem at hand, rather than being constrained by the limitations of a particular underlying kernel or hardware architecture. The third goal is touched upon but not emphasized in this paper. PRESTO is written in C++; it currently runs on the Sequent shared-memory multiprocessor on top of the Dynix operating system. In this paper we describe the system model, its applicability to parallel programming, experiences with the initial implementation, and some early performance measurements.

关键词： Design Languages Measurement Performance Parallel computing software parallelism Speed-up Efficiency

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