the proceedings contain 47 papers. the special focus in this conference is on parallelarchitectures, algorithms and programming. the topics include: On a Coexisting Scheme for Multiple Flows in Multi-radio Multi-chan...
the proceedings contain 47 papers. the special focus in this conference is on parallelarchitectures, algorithms and programming. the topics include: On a Coexisting Scheme for Multiple Flows in Multi-radio Multi-channel Wireless Mesh Networks;Non-linear K-Barrier Coverage in Mobile Sensor Network;Interrupt Responsive Spinlock Mechanism Based on MCS for Multi-core RTOS;A Novel Speedup Evaluation for Multicore Architecture Based Topology of On-Chip Memory;Improving the Performance of Collective Communication for the On-Chip Network;A Survey of Multicast Communication in Optical Network-on-Chip (ONoC);Virtual Network Embedding Based on Core and Coritivity of Graph;Non-time-Sharing Full-Duplex SWIPT Relay System with Energy Access Point;Recent Developments in Content Delivery Network: A Survey;Weighted Mean Deviation Similarity Index for Objective Omnidirectional Video Quality Assessment;Tire X-ray Image Defects Detection Based on Adaptive thresholding Method;Halftone Image Reconstruction Based on SLIC Superpixel Algorithm;Study on the Method of Extracting Diabetes History from Unstructured Chinese Electronic Medical Record;Deep Residual Optimization for Stereoscopic Image Color Correction;Old Man Fall Detection Based on Surveillance Video Object Tracking;Electric Bicycle Violation Automatic Detection in Unconstrained Scenarios;Building a Lightweight Container-Based Experimental Platform for HPC Education;Automatic Generation and Assessment of Student Assignments for parallelprogramming Learning;Heuristic Load Scheduling Algorithm for Stateful Cloud BPM Engine.
this book constitutes the refereed proceedings of the 10thinternationalsymposium on parallelarchitectures, algorithms and programming, paap 2019, held in Guangzhou, China, in December 2019.
ISBN:
(数字)9789811527678
ISBN:
(纸本)9789811527661
this book constitutes the refereed proceedings of the 10thinternationalsymposium on parallelarchitectures, algorithms and programming, paap 2019, held in Guangzhou, China, in December 2019.
this book constitutes the refereed proceedings of the 8thinternationalsymposium on parallel Architecture, Algorithm and programming, paap 2017, held in Haikou, China, in June 2017. the 50 revised full papers and 7 r...
ISBN:
(数字)9789811064425
ISBN:
(纸本)9789811064418
this book constitutes the refereed proceedings of the 8thinternationalsymposium on parallel Architecture, Algorithm and programming, paap 2017, held in Haikou, China, in June 2017. the 50 revised full papers and 7 revised short papers presented were carefully reviewed and selected from 192 submissions. the papers deal with research results and development activities in all aspects of parallelarchitectures, algorithms and programming techniques.
A parallel subspace iteration method for solving eigenvalue problem of based on multi-core platform is presented, which can solve several extreme eigenpair in parallel. Compared with Jacobi-Davidson method, the dimens...
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parallel computing is a high performance technology to solve problems, in order to improve computing efficiency, we use the processor to concurrent execute several parts divided from one problem. Based on the current ...
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ISBN:
(纸本)9789811064425;9789811064418
parallel computing is a high performance technology to solve problems, in order to improve computing efficiency, we use the processor to concurrent execute several parts divided from one problem. Based on the current issues in parallel computing area, boththe data processing repetition rate and the parallel computing time depend on the time of the last thread in the task completing. this paper was written to take an overview of the existing parallel computing techniques and structures, and propose a solution of adding an advanced thread or advanced processor to make up the deficiency in parallel computing area.
Withthe fast development of information technology, the power data is growing at an exponentially speed. In the face of multi-dimensional and complicated power network data, the performance of the traditional cluster...
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ISBN:
(纸本)9789811064425;9789811064418
Withthe fast development of information technology, the power data is growing at an exponentially speed. In the face of multi-dimensional and complicated power network data, the performance of the traditional clustering algorithms are not satisfied. How to effectively cope withthe power network data is becoming a hot topic. this paper proposes a parallel implement of K-means clustering algorithm based on Hadoop distributed file system and Mapreduce distributed computing framework to deal this problem. the experimental results show that the performance of our proposed algorithm significantly outperforms the traditional clustering algorithm and the parallel clustering algorithm can significantly reduce the time complexity and can be applied in analyzing and mining of the power network data.
作者:
Sulzmann, MartinLam, Edmund S. L.Programming
Logics and Semantics Group IT University of Copenhagen Rued Langgaards Vej 7 2300 Copenhagen S Denmark School of Computing
National University of Singapore S16 Level 5 3 Science Drive 2 Singapore 117543 Singapore
Multi-set constraint rewriting allows for a highly parallel computational model and has been used in a multitude of application domains such as constraint solving, agent specification etc. Rewriting steps can be appli...
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the course of parallelprogramming is becoming more and more important for the education of students majoring in computer science. However, it is not easy to learn parallelprogramming well due to its high theory and ...
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the read alignment (sequence alignment) is one of the most basic and time-consuming problems in Bioinformatics. In this paper, a CPU-GPU parallel long-read alignment method is studied to solve this problem. A lightwei...
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Metabolic pathway alignment remains an important tool in systems biology, and has become even more important withthe growing mass of metabolic pathway data. However, the process of aligning multiple metabolic pathway...
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ISBN:
(纸本)9789811064425;9789811064418
Metabolic pathway alignment remains an important tool in systems biology, and has become even more important withthe growing mass of metabolic pathway data. However, the process of aligning multiple metabolic pathways scale poorly with either the number of pathways or withthe size of pathways, and no attempts have been made to exploit the parallelism of the pathway alignments to improve the efficiency. this paper proposes a parallel metabolic pathway alignment method called PMMPA. In PMMPA, we design a commonly used parallel algorithm for the computation of reaction (node) similarity in GPU, and implement a parallel strategy for aligning multiple metabolic pathways in multi-core CPU. the experimental results show that this parallel alignment implementation achieves at most 300 times faster than the single-threaded version, the parallel implementation of aligning metabolic pathways on the hybrid CPU and GPU architecture is promising in improving the efficiency.
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