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Real-time sonar beamforming on workstations using process networks and POSIX threads

IEEE TRANSACTIONS ON SIGNAL PROCESSING 2000年第3期48卷 921-926页

作者： Allen, GE Evans, BL Univ Texas Appl Res Labs Austin TX 78713 USA Univ Texas Dept Elect & Comp Engn Austin TX 78712 USA

We present a scalable framework for real-time data-intensive systems on commodity multiprocessor workstations. The framework is an extension of the process network model, which captures parallelism, guarantees determinate execution, and executes in bounded memory. We implement the framework using lightweight POSIX threads and prototype a 4-GFLOP sonar beamformer on a 12-processor 336-MHz Sun Enterprise server. The beamformer scales nearly linearly from 1 to 12 processors.

关键词： beamforming high-performance computing models of computation multiprocessor programming native signal processing process networks real-time systems scalable software

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Using SST/Macro for Effective Analysis of MPI-Based Applications: Evaluating Large-Scale Genomic Sequence Search

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IEEE ACCESS 2013年 1卷 428-435页

作者： Dechev, Damian Ahn, Tae-Hyuk Univ Cent Florida Dept Elect Engn & Comp Sci Orlando FL 32816 USA Oak Ridge Natl Lab Div Math & Comp Sci Oak Ridge TN 37831 USA

Future and current high-performance computing applications will have to change and adapt as node architectures evolve. The application of advanced architecture simulators will play a crucial role for the design and optimization of future data intensive applications. In this paper, we present our simulation-based framework for analyzing the scalability and performance of a number of critical optimizations of a massively parallel genomic search application, mpiBLAST, using an advanced macroscale simulator (SST/macro). We report the use of our framework for the evaluation of three potential improvements of mpiBLAST: 1) enabling high-performance parallel output;2) an approach for caching database fragments in memory;and 3) a methodology for pre-distributing database segments. In our experimental setup, we performed query sequence matching on the genome of the yellow fever mosquito, Aedes aegypti.

关键词： Exascale architecture simulator mpiBLAST performance and scalability modeling multiprocessor programming message passing interface

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A System-level Design of MapReduce-based Embedded multiprocessor System-on-Chips 13

A System-level Design of MapReduce-based Embedded Multiproce...

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International SoC Design Conference (ISOCC)

作者： Zhang, Huajuan Xiao, Hao Wu, Ning Nanjing Univ Aeronaut & Astronaut Coll Elect & Informat Engn Nanjing 210016 Jiangsu Peoples R China

ISBN: (纸本)9781509032198

With the advent of the Internet of Things, collection and processing of large datasets on embedded systems become increasingly important. Therefore, to enable embedded processors with more data processing capabilities, this paper applies the MapReduce parallel programming model to embedded multi-processor system-on-chip (MPSoC). We implement the proposed MPSoC in system-level SystemC and evaluate its performance using commercial ESL tools. Experimental results show that the proposed MPSoC can achieve up to 2.1x performance improvement compared with Phoenix on general-purpose embedded platform.

关键词： multiprocessor system-on-chip MapReduce multiprocessor programming embedded systems

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A MapReduce architecture for embedded multiprocessor system-on-chips

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IEICE ELECTRONICS EXPRESS 2016年第2期13卷

作者： Xiao, Hao Zhang, Huajuan Ge, Fen Wu, Ning Nanjing Univ Aeronaut & Astronaut Coll Elect & Informat Engn Nanjing 210016 Jiangsu Peoples R China

With the advent of the Internet of Things, collection and processing of large datasets on embedded systems become increasingly important. Therefore, to enable embedded processors with more data processing capabilities, this paper presents a MapReduce-based multiprocessor system-on-chip (MPSoC) for providing efficient architectural supports to MapReduce parallel programming paradigm. We implement the proposed MPSoC in cycle-accurate SystemC and evaluate its performance using a set of representative MapReduce applications. Results show that the proposed MPSoC can achieve up to 2.1x overall performance improvement over the current general purpose multicore processors in typical MapReduce applications. Keywords: multiprocessor system-on-chip, MapReduce, multiprocessor programming, embedded systems

关键词： multiprocessor system-on-chip MapReduce multiprocessor programming embedded systems

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A system-level design of MapReduce-based embedded multiprocessor system-on-chips

A system-level design of MapReduce-based embedded multiproce...

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International SoC Design Conference, ISOCC

作者： Huajuan Zhang Hao Xiao Ning Wu College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Nanjing China

ISBN: (纸本)9781509032204

With the advent of the Internet of Things, collection and processing of large datasets on embedded systems become increasingly important. Therefore, to enable embedded processors with more data processing capabilities, this paper applies the MapReduce parallel programming model to embedded multi-processor system-on-chip (MPSoC). We implement the proposed MPSoC in system-level SystemC and evaluate its performance using commercial ESL tools. Experimental results show that the proposed MPSoC can achieve up to 2.1× performance improvement compared with Phoenix on general-purpose embedded platform.

关键词： embedded systems multiprocessor system-on-chip MapReduce multiprocessor programming

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