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检索条件"主题词=Parallel programming"

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Design, Implementation and Evaluation of Built-in Functions on parallel programming Model in SMYLE OpenCL

Design, Implementation and Evaluation of Built-in Functions ...

引用

IEEE International Symposium on Embedded Multicore Socs (MCSoC)

作者： Noriko Etani Takuji Hieda Hiroyuki Tomiyama Research Organization of Science and Technology College of Science and Engineering Ritsumeikan University Shiga Japan

In this paper, we propose built-in functions on parallel programming model in SMYLE OpenCL to extend the original OpenCL semantics giving our system's original limitation and interpretation for embedded many-core architecture. On a platform using FPGA to evaluate embedded many-core architecture SMYLEref, data parallel and task parallel programming models supported by the OpenCL execution model are implemented. Then, high-level API based on an OpenCL framework, named SMYLE OpenCL, has been developed. Math functions, integer functions, common functions, geometric functions, relational functions, and barrier function of synchronization functions in built-in functions are implemented for OpenCL version 1.2. And the routines for floating point emulation are developed in order to compute the ranges of float and double on the device core which OS is not installed in. This paper describes the design and its implementation of built-in functions on parallel programming model in SMYLE OpenCL, and shows how to solve the implementation issues. The high-speed low-power performance using parallel benchmark applications compared with a former technology is demonstrated.

关键词： Kernel Libraries parallel programming Radiation detectors Computer architecture Field programmable gate arrays Synchronization

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parallelization of algorithms in set@l language of architecture-independent programming 14th

Parallelization of algorithms in set@l language of architect...

引用

14th International Scientific Conference on parallel Computational Technologies, PCT 2020

作者： Levin, Ilya I. Dordopulo, Alexey I. Pisarenko, Ivan V. Melnikov, Andrey K. Southern Federal University Academy for Engineering and Technology Institute of Computer Technologies and Information Security Taganrog Russia Supercomputers and Neurocomputers Research Center Taganrog Russia InformInvestGroup CJSC Moscow Russia

ISBN: (纸本)9783030553258

Traditional programming languages for parallel computer systems do not efficiently separate the algorithm description from the details of its hardware implementation. As a result, a significant code modification is required to port the same algorithm from one computational architecture to another. To simplify and speed up the porting procedure, an architecture-independent Set@l programming language based on the aspect-oriented programming paradigm and set-theoretical code view is proposed to be used. In contrast to conventional parallel programming tools, Set@l defines the information structure of a problem as sets, subsets of different types and relations between them. Various aspects of implementation such as processing method, parallelization, optimization and others transform an architecture-independent source code according to the certain architecture and configuration of the computer system. Set@l offers new opportunities for efficient architecture- and resource-independent parallel programming. It ensures porting of parallel applications without the source code modification, transitions between different algorithm implementations with regard to the computer system’s features or user’s preferences, and the indefinite description of calculations. This paper deals with the essential techniques and specificities of algorithm parallelization in the Set@l aspect-oriented programs. The demonstrated examples are adopted from programs in the Set@l language. The lower-upper decomposition code demonstrates the conversion of set types by parallelism during the architectural adaptation, and the Jacobi algorithm code introduces indefinite collections (classes and semisets) for the description of effective computing structure for reconfigurable computer systems. In addition, we consider several instances of memory use for the organization of parallel calculations. © Springer Nature Switzerland AG 2020.

关键词： parallel programming

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Generic approaches for parallel rule matching in learning classifier systems 20

Generic approaches for parallel rule matching in learning cl...

引用

2020 Genetic and Evolutionary Computation Conference, GECCO 2020

作者： Rosenbauer, Lukas Stein, Anthony Hähner, Jörg BSH Home Appliances Germany University of Hohenheim Germany University of Augsburg Germany

ISBN: (纸本)9781450371278

The XCS classifier system (XCS) constitutes the most deeply investigated evolutionary rule-based machine learning algorithm. Due to its online learning nature, it is not as computationally intense as deep learning approaches. However, in order to increase XCS's realtime capabilities, it is worth to improve its runtime for the inference step. A iteration through XCS's main loop involves various steps. Among them, matching usually constitutes the computationally most expensive part. Various ways for improvements have been proposed, e.g. using specialized hardware or vector commands. However, existing approaches require either a certain hardware coupled with a specific instruction set, or a dedicated multiprocessing programming language. In this context, parallel programs are often evaluated in terms of their speed up, but it turns out that qualitative criteria such as flexibility and independence of a specific hardware are also relevant. We therefore present a generic parallel approach for matching. We only rely on the minimum assumption of a multicore CPU with standard synchronization mechanisms, e.g., locks. Those assumptions are satisfied in almost all modern computing systems and high-level programming languages today. Thus we show that our approaches cannot only decrease the runtime, but are also reusable for most learning classifier systems and computing systems. © 2020 ACM.

关键词： parallel programming

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Modelling the Earth's geomagnetic environment on Cray machines using PETSc and SLEPc

Modelling the Earth's geomagnetic environment on Cray machin...

引用

作者： Brown, Nick Bainbridge, Brian Beggan, Ciarán Brown, William Hamilton, Brian Macmillan, Susan EPCC University of Edinburgh Bayes Centre Edinburgh United Kingdom British Geological Survey The Lyell CentreEdinburgh United Kingdom

The British Geological Survey's global geomagnetic model, Model of the Earth's Magnetic Environment (MEME), is an important tool for calculating the strength and direction of the Earth's magnetic field, which is continually in flux. While the ability to collect data from ground-based observation sites and satellites has grown rapidly, the memory bound nature of the original code has proved a significant limitation on the size of the modelling problem required. In this paper, we describe work done replacing the bespoke, sequential, eigensolver with that of the PETSc/SLEPc package for solving the system of normal equations. Adopting PETSc/SLEPc also required fundamental changes in how we built and distributed the data structures, and as such, we describe an approach for building symmetric matrices that provides good load balance and avoids the need for close coordination between the processes or replication of work. We also study the memory bound nature of the code from an irregular memory accesses perspective and combine detailed profiling with software cache prefetching to significantly optimise this. Performance and scaling characteristics are explored on ARCHER, a Cray XC30, where we achieved a speed up for the solver of 294 times by replacing the model's bespoke approach with SLEPc. © 2020 John Wiley & Sons, Ltd.

关键词： parallel programming

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Performance evaluation of risc-based memory-centric processor architecture 1

引用

9th Computer Science On-line Conference, CSOC 2020

作者： Efnusheva, Danijela Computer Science and Engineering Department Faculty of Electrical Engineering and Information Technologies Skopje Macedonia

ISBN: (数字)9783030519742

ISBN: (纸本)9783030519735

Recent technological advances in computer hardware and software industry resulted in a wide range of single- and multi-core processors, operating systems, compilers and applications, with the ultimate goal to increase the overall performances of the computing system. Although the number of transistors that can fit on a chip has been doubling every 18 months, there is still difficult to improve the performances of sequential single-core processors, and even of parallel many-processor and multi-core shared-memory systems. The main issue resides in the computer’s hardware and software inability to alleviate the occurrence of processor-memory bottleneck and to provide parallel instruction execution at peak level. Therefore, this paper proposes a memory-centric approach of parallel processing in a distributed system, which includes several RISC-based processor cores that integrate on-chip memory and provide direct access to it, without using registers and cache memory. Furthermore, the execution of several algorithms with different arithmetical intensity is evaluated and the achieved improvements are discussed. © Springer Nature Switzerland AG 2020.

关键词： parallel programming

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A RISC Building Block Set for Structured parallel programming

A RISC Building Block Set for Structured Parallel Programmin...

引用

Euromicro Conference on parallel, Distributed and Network-Based Processing

作者： Marco Danelutto Massimo Torquati Department Computer Science University of Pisa Italy

We propose a set of building blocks (RISC-pb2l) suitable to build high-level structured parallel programming frameworks. The set is designed following a RISC approach. RISC-pb2l is architecture independent but the implementation of the different blocks may be specialized to make the best usage of the target architecture peculiarities. A number of optimizations may be designed transforming basic building blocks compositions into more efficient compositions, such that parallel application efficiency may be derived by construction rather than by debugging.

关键词： Data structures Reduced instruction set computing Libraries Optimization parallel programming Pipelines Semantics

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AOmpLib: An Aspect Library for Large-Scale Multi-core parallel programming

AOmpLib: An Aspect Library for Large-Scale Multi-core Parall...

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International Conference on parallel Processing (ICPP)

作者： Bruno Medeiros João L. Sobral Departamento de Informática/CCTC Universidade do Minho Braga Portugal

This paper introduces an aspect-oriented library aimed to support efficient execution of Java applications on multi-core systems. The library is coded in AspectJ and provides a set of parallel programming abstractions that mimics the OpenMP standard. The library supports the migration of sequential Java codes to multi-core machines with minor changes to the base code, intrinsically supports the sequential semantics of OpenMP and provides improved integration with object-oriented mechanisms. The aspect-oriented nature of library enables the encapsulation of parallelism-related code into well-defined modules. The approach makes the parallelisation and the maintenance of large-scale Java applications more manageable. Furthermore, the library can be used with plain Java annotations and can be easily extended with application-specific mechanisms in order to tune application performance. The library has a competitive performance, in comparison with traditional parallel programming in Java, and enhances programmability, since it allows an independent development of parallelism-related code.

关键词： Java Libraries Instruction sets parallel processing Synchronization parallel programming

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Resource Prediction Service for Efficient Execution of Bioinformatics Workflows in Federated Cloud with Machine Learning

Resource Prediction Service for Efficient Execution of Bioin...

引用

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Matheus Sobrinho Michel Rosa Waldeyr Silva Aletéia Araújo University of Brasília Brasília Brazil NEP-Bio Cerrado Federal Institute of Goiás Formosa Brazil

ISBN: (纸本)9781665429825

Cloud federation emerged to extend the resources available between different interconnected cloud providers for transparent and unlimited availability to the end-user. Cloud orchestration platforms have become a way to centralize demands for high computational power in applications such as Bioinformatics workflows. The large quantity of resources available among several providers in a federation makes it challenging to choose a suitable one for particular workflows. This work proposes a Machine Learning Resource Prediction Service called sPCRAM. sPCRAM uses a machine learning model combined with a GRASP metaheuristic to transparently and adequately dimension the resources, determining the monetary cost and the runtime before the workflow execution. sPCRAM interactively allows the user to set the execution type, calibrate time and cost. Such executions can have, for example, long duration and low cost, as well as a shorter duration and a higher cost. The results demonstrate that sPCRAM can appropriately estimate runtime and cost for cloud federation resources on average 97,70% faster than the brute force technique for resource selection.

关键词： Costs Runtime parallel programming Metaheuristics Distributed databases Genomics Machine learning

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parallelization of Levelset-based Text Baseline Detection in Document Images

Parallelization of Levelset-based Text Baseline Detection in...

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International Conference on Artificial Intelligence in Information and Communication (ICAIIC)

作者： Hyeonwoo Jeong Ye-Chan Choi Kang-Sun Choi Future Convergence Engineering I.P.C.E. Korea University of Technology and Education Cheonan South Korea

In this paper, we propose a text baseline detection method. The proposed method is based on a strategy of object separation in a binary image that consists of three steps. The first step is making a binary image with sobel edge detection and mathematical morphology operation to take a approximated text area from the ordinary document image. In the second step, line segments which are candidates for text baselines, are extracted by parallel levelset method. The last step fits a line from each segment with parallel random sample consensus and selects appropriate lines automatically. For parallel computation, OpenMP that is standard API for shared memory parallel programming in C/C++ is used.

关键词： Image segmentation Machine learning algorithms parallel programming Image edge detection Morphology Machine learning Reliability

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Executable modelling for highly parallel accelerators 19

Executable modelling for highly parallel accelerators

引用

Proceedings of the 22nd International Conference on Model Driven Engineering Languages and Systems

作者： Lorenzo Addazi Federico Ciccozzi Björn Lisper Mälardalen University - Västerås Sweden

ISBN: (纸本)9781728151250

High-performance embedded computing is developing rapidly since applications in most domains require a large and increasing amount of computing power. On the hardware side, this requirement is met by the introduction of heterogeneous systems, with highly parallel accelerators that are designed to take care of the computation-heavy parts of an application. There is today a plethora of accelerator architectures, including GPUs, many-cores, FPGAs, and domain-specific architectures such as AI accelerators. They all have their own programming models, which are typically complex, low-level, and involve explicit parallelism. This yields error-prone software that puts the functional safety at risk, unacceptable for safety-critical embedded applications. In this position paper we argue that high-level executable modelling languages tailored for parallel computing can help in the software design for high performance embedded applications. In particular, we consider the data-parallel model to be a suitable candidate, since it allows very abstract parallel algorithm specifications free from race conditions. Moreover, we promote the Action Language for fUML (and thereby fUML) as suitable host language.

关键词： high-performance computing executable models parallel programming modelling languages UML ALF fUML data-parallelism

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