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A new low latency parallel turbo decoder employing parallel phase decoding method

A new low latency parallel turbo decoder employing parallel ...

引用

12th international conference on algorithms and architectures for parallel processing, ica3pp 2012

作者： Lee, Wen-Ta Chang, Min-Sheng Shen, Wei-Chieh Institute of Computer and Communication National Taipei University of Technology Taipei Taiwan

ISBN: (纸本)9783642330643

In this paper, a new parallel phase algorithm for parallel turbo decoder is proposed. Traditional sliding window turbo algorithm exchanges extrinsic information phase by phase, it will induce long decoding latency. the proposed algorithm exchanges extrinsic information as soon as it had been calculated half the frame size, thus, it can not only eliminate (De-)Interleaver delay but also save the storage space. For verifying the proposed parallel phase turbo decoder, we have used FPGA to emulate the hardware architectures, and designed this turbo decoder chip with TSMC 0.18μm 1P6M CMOS process. the gate count of this decoder chip is 128284. the chip size including I/O pad is 1.91x1.91mm2. the simulation result shows that, compared to traditional sliding window method, for different code size, parallel phase turbo decoding method has 51.23%~58.13% decoding time saved, with 8 iteration times at 100MHz working frequency. © 2012 Springer-Verlag.

关键词： Iterative decoding

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A parallel distributed system for gene expression profiling based on clustering ensemble and distributed optimization

A parallel distributed system for gene expression profiling ...

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13th international conference on algorithms and architectures for parallel processing, ica3pp 2013

作者： Benmounah, Zakaria Batouche, Mohamed Computer Science Department College of NTIC Constantine University 2 25000 Constantin Algeria

ISBN: (纸本)9783319038582

With the development of microarray technology, it is possible now to study and measure the expression profiles of thousands of genes simultaneously which can lead to identify subgroup of specific disease or extract hidden relationships between genes. One computational method often used to this end is clustering. In this paper, we propose a parallel distributed system for gene expression profiling (PDS-GEF) which provides a useful basis for individualized treatment of a certain disease such as Cancer. the proposed approach is based on two major techniques: the GIM (Generalized Island Model) and clustering ensemble. GIMs are used to generate good quality clusterings which are refined by a consensus function to get a high quality clustering. PDS-GEF system is implemented using Matlab®'s PCT (parallel Computing Toolbox™) which runs on a desktop computer, and tested on 34 different publicly available gene expression data sets. the obtained results compete with and even outperform existing methods. © Springer international Publishing Switzerland 2013.

关键词： Diseases

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parallel computing method for HRV time-domain based on GPU 15th

Parallel computing method for HRV time-domain based on GPU

引用

15th international conference on algorithms and architectures for parallel processing, ica3pp 2015

作者： Wang, Jie Chen, Weihao Hou, Gang School of Software Technology Dalian University of Technology Economic and Technological Development Zone Dalian116600 China

ISBN: (纸本)9783319271217

HRV (Heart rate variability, which has a function of prediction for cardiovascular disease) contains a wealth of medical information, rapid extraction and procession of these signals will bring an important meaning for the prevention of heart diseases. Physionet open source project provides a good platform for the research and development of HRV, which also provides demonstration tools for the calculation of HRV. the characteristics of medical signal are real-time and have large volume of data. Conventional serial methods are difficult to meet the requirements of biomedicine, and the parallel method based on multi-core CPU is larger communication overhead. In this paper, we designed some parallel algorithms for the calculation of HRV in time-domain based on the strategy of parallel reduction, compared and analyzed the various optimization methods, and received the highest 38 times speedup compared with serial method. © Springer international Publishing Switzerland 2015.

关键词： Graphics processing unit

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PE-TLD: parallel extended tracking-learning-detection for multi-target tracking 15th

PE-TLD: Parallel extended tracking-learning-detection for mu...

引用

15th international conference on algorithms and architectures for parallel processing, ica3pp 2015

作者： Zhou, Chenggang Dong, Qiankun Ma, Wenjing Long, Guoping Li, Tao College of Computer and Control Engineering Nankai University Tianjin300350 China Institute of Software Chinese Academy of Sciences Beijing100190 China

ISBN: (纸本)9783319271217

Multi-target tracking in video has been a research focus, with the combination of many fields, such as computer vision, artificial intelligence, pattern matching. In this paper, we present an efficient multi-target recognition and tracking algorithm based on TLD (Tracking-Learning-Detection), named PETLD. A new foreground extraction filter using ViBe is introduced to improve the speed and accuracy of detection. A new target recognition component is added, and core detector is improved. Based on that, we further implemented a parallel version, taking advantage of the state-of-the-art parallel computing techniques such as OpenMP and OpenCL, which runs efficiently on a system with both multicore CPU and GPU. Experiments showed that PE-TLD is up to 5 times faster than the serial version. PE-TLD is an automatic multi-target recognition and tracking system, which is efficient enough to be deployed for real-time usage. © Springer international Publishing Switzerland 2015.

关键词： Pattern matching

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DFIS: A scalable distributed fingerprint identification system 15th

DFIS: A scalable distributed fingerprint identification syst...

引用

15th international conference on algorithms and architectures for parallel processing, ica3pp 2015

作者： Zhao, Yunxiang Zhang, Wanxin Li, Dongsheng Huang, Zhen National Laboratory for Parallel and Distributed Processing College of Computer National University of Defence Technology ChangshaHunan410073 China

ISBN: (纸本)9783319271361

Fingerprint has been widely used in a variety of biometric identification systems. However, with the rapid development of fingerprint identification systems, the amount of fingerprints information stored in systems has been rising sharply, making it challenging to process and store fingerprints efficiently and robustly with traditional standalone systems and relational databases. In this paper, we propose a scalable distributed fingerprint identification system, named DFIS. It combines the feature extraction procedure with HIPI library and optimizes the load balance strategy of MongoDB to construct a much more robust and stable system. Related experiments and simulations have been carried out and results show that DFIS can reduce the time expense by 70% during the features extraction procedural. For load balance of MongoDB, DFIS can decrease the difference of access load to less than 5% and meanwhile decrease 50% data migration to gain more reasonable distribution of operation load and data load among shards compared with the default load balance strategy in MongoDB. © Springer international Publishing Switzerland 2015.

关键词： Distributed computer systems

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Deadline-oriented task scheduling for mapreduce environments 15th

Deadline-oriented task scheduling for mapreduce environments

引用

15th international conference on algorithms and architectures for parallel processing, ica3pp 2015

作者： Hu, Minghao Wang, Changjian You, Pengfei Huang, Zhen Peng, Yuxing National Laboratory for Parallel and Distributed Processing School of Computer Science National University of Defense Technology Changsha410072 China

ISBN: (纸本)9783319271217

To provide timely results for ‘Big Data Analytics’, it is crucial to satisfy deadline requirements for MapReduce jobs in production environments. In this paper, we propose a deadline-oriented task scheduling approach, named Dart, to meet the given deadline and maximize the input size if only part of the dataset can be processed before the time limit. Dart uses an iterative estimation method which is based on both historical data and job running status to precisely estimate the realtime job completion time. By comparing the estimated time with the deadline constraint, a YARN-based task scheduler dynamically decides whether continuing or terminating the map *** have validated our approach using workloads from OpenCloud and Facebook on a cluster of 60 virtual machines. the results show that Dart can not only effectively meet the deadline but also process near-maximal data volumes even when the deadline is set to be extremely small and limited resources are allocated. © Springer international Publishing Switzerland 2015.

关键词： MapReduce

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Joint redundancy and inspection-based maintenance optimization for series-parallel system 15th

Joint redundancy and inspection-based maintenance optimizati...

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15th international conference on algorithms and architectures for parallel processing, ica3pp 2015

作者： Yao, Yuan He, Pan Zheng, Zhihao Tan, Chun Yuan, Yue Chongqing Institute of Green and Intelligent Technology Chinese Academy of Sciences Chongqing400714 China

ISBN: (纸本)9783319271361

While researchers have concentrated on the optimization of joint redundancy and maintenance mechanism, maintenance in computing systems is quite different from that in traditional systems. Considering a routine monitoring and inspection mechanisms is conducted to detect component status and trigger repair process, this paper pays attention to the optimization problem of joint redundancy and inspection-based maintenance mechanism. After conducting steady state analysis on subsystems using inspection-based maintenance, shared repair facility and component redundancy, optimization model is built to search appropriate system structure and maintenance policy which maximizes system performance while meeting availability and cost constraints. Due to the complexity of uncertain optimization model, genetic algorithm is used to search optimal solution, using triple-element encoding mechanism and specifically designed operators. Illustrative examples are conducted to show that the optimization model and corresponding solution technique could be used to search optimal system configuration under given constraints and different cost constraints would lead to different optimization result while meeting availability constraints. © Springer international Publishing Switzerland 2015.

关键词： Redundancy

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parallel data regeneration based on multiple trees with network coding in distributed storage system 15th

Parallel data regeneration based on multiple trees with netw...

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15th international conference on algorithms and architectures for parallel processing, ica3pp 2015

作者： You, Pengfei Huang, Zhen Wang, Changjian Hu, Minghao Peng, Yuxing College of Computer National University of Defense Technology Changsha410073 China

ISBN: (纸本)9783319271217

Distributed storage systems can provide large-scale data storage and high data reliability by redundant schemes, such as replica and erasure codes. Redundant data may get lost due to frequent node failures in the system. the lost data is needed to be regenerated as soon as possible so as to maintain data availability and reliability. the direct way for reducing regeneration time is to reduce network traffic in regeneration. Compared with that way, tree-structured regeneration achieves shorter regeneration time by constructing better treestructured topology to increase transmission bandwidth. However, some bandwidth of many other edges beyond the tree is not utilized to speed up transmission in tree-structured regeneration. In this paper, we consider to use multiple edge-disjoint trees to parallel regenerate the lost data, and analyze the total regeneration time. We deduce the formula about optimal regeneration time, and propose an approximate construction algorithm with polynomial time complexity for the optimal multiple regeneration trees. Our experiments shows, the regeneration time reduces 62 % compared with common tree–structured scheme, and the file availability reaches almost 99 %. © Springer international Publishing Switzerland 2015.

关键词： Network coding

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