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检索条件"任意字段=6th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP"

共 292 条记录，以下是101-110 订阅

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POWER: A parallel-Optimization-Based Framework Towards Edge Intelligent Image Recognition and a Case Study 18th

POWER: A Parallel-Optimization-Based Framework Towards Edge ...

引用

18th international conference on algorithms and architectures for parallel processing (ica3pp)

作者： Yang, Yingyi Mai, Xiaoming Wu, Hao Nie, Ming Wu, Hui Guangdong Power Grid Co Ltd Elect Power Res Inst Guangzhou Peoples R China

ISBN: (纸本)9783030050511;9783030050504

To improve the intelligent image recognition abilities of edge devices, a parallel-optimization-based framework called POWER is introduced in this paper. With FPGA (Field-Programmable Gate Array) as its hardware module, POWER provides well extensibility and flexible customization capability for developing intelligent firmware suitable for different types of edge devices in various scenarios. through an actual case study, we design and implement a firmware prototype following the specification of POWER and explore its performance improvement using parallel optimization. Our experimental results show that the firmware prototype we implement exhibits good performance and is applicable to substation inspection robots, which also validate the effectiveness of our POWER framework in designing edge intelligent firmware modules indirectly.

关键词： Edge intelligence Image recognition Framework parallel optimization Substation inspection robot

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Conflict-Free Block-with-Stride Access of 2D Storage Structure 18th

Conflict-Free Block-with-Stride Access of 2D Storage Structu...

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18th international conference on algorithms and architectures for parallel processing (ica3pp)

作者： Song, Rui Zeng, Guozhao Liu, Sheng Chen, Haiyan Natl Univ Def Technol Coll Comp Changsha 410073 Hunan Peoples R China

ISBN: (纸本)9783030050573;9783030050566

parallel memory modules can be used to increase memory bandwidth and feed a processor with the required access patterns of data. the parallel storage mechanism organized and managed by multiple storage modules can suit applications of images and videos. Previous investigation into data storage schemes can be used to achieve continuous conflict free access by rows, columns or blocks, however it is not only satisfied with some sliding window applications in video and image processing algorithms (including convolutional neural networks, sub-pixel difference, 2D filtering, etc.) which need non-conflicting access by steps in computation, but also there is a different demand for horizontal and vertical strides in computing sub-processes. this paper presents a storage scheme that support for row access without collision alignment, and non-aligned block-with-stride access storage modes beginning at any address. theoretical proofs and experiments verify the correct ness of the module address (module number to which the address is mapped). And in hardware design, it was found that in the typical case there was no path violation and with less area overhead. It suitable for application of CNN to improve performance in algorithm in convolutional.

关键词： Main memory architectures 2D memory conflicts parallel storage scheme

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Welcome message from the ica3pp 2015 workshop chairs 15th

Welcome message from the ICA3PP 2015 workshop chairs

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

作者： Dong, Mianxiong Ko, Ryan K. L. Alam Bhuiyan, Md. Zakirul

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A parallel Method for All-Pair SimRank Similarity Computation 18th

A Parallel Method for All-Pair SimRank Similarity Computatio...

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18th international conference on algorithms and architectures for parallel processing (ica3pp)

作者： Huang, Xuan Gao, Xingkun Tang, Jie Wu, Gangshan Nanjing Univ Dept Comp Sci & Technol Nanjing 210023 Peoples R China Nanjing Univ State Key Lab Novel Software Technol Nanjing 210023 Peoples R China

ISBN: (纸本)9783030050511;9783030050504

How to measure SimRank similarity of all-pair vertices in a graph is a very important research topic which has a wide range of applications in many fields. However, computation of SimRank is costly in both time and space, making traditional computing methods failing to handle graph data of ever-growing size. this paper proposes a parallel multi-level solution for all-pair SimRank similarity computing on large graphs. We partition the objective graph first with the idea of modularity maximization and get a collapsed graph based on the blocks. then we compute the similarities between verteices inside a block as well as the similarities between the blocks. In the end, we integrate these two types of similarities and calculate the approximate SimRank simlarities between all vertex pairs. the method is implemented on Spark platform and it makes an improvement on time efficiency while maintaining the effectiveness compared to SimRank.

关键词： SimRank similarity Spark parallel computing

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An improved parallel watershed algorithm for distributed memory system 5

An improved parallel watershed algorithm for distributed mem...

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5th international conference on algorithms and architectures for parallel processing, ica3pp 2002

作者： Zhou, Hai-Fang Jiang, Yan-Huang Yang, Xue-Jun Department of Computer Science and Technology National University of Defense Technology Changsha410073 China

ISBN: (纸本)0769515126

As a classical method of image segmentation in mathematical morphology, the watershed transform has been applied successively into some fields like remote sensing image processing, biomedical and computer vision applications. However the watershed transform is a relatively time consuming task and classical watershed algorithms have a strong recursive nature, so straightforward parallel ones have a very low efficiency. Mekjster and Roerdink (1996;1995) have proposed an alternative algorithm (M-R for short) which consists of three stages aimed to exploit parallelism fully. the M-R algorithm has much limitation and some underlying logical errors, therefore we present an improved parallel watershed algorithm based on a directed valued graph called components graph for image segmentation. We firstly point out the limits of the M-R algorithm, then describe the theory and steps of our algorithm in detail. Finally, experimental studies and performance measurements are given. © 2002 IEEE.

关键词： Image segmentation

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An Escrow-Free Hierarchical Identity-Based Signature Model for Cloud Storage 15th

An Escrow-Free Hierarchical Identity-Based Signature Model f...

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15th international conference on algorithms and architectures for parallel processing (ica3pp)

作者： Chen, Peixin Wang, Xiaofeng Su, Jinshu Natl Univ Def Technol Coll Comp Changsha 410073 Hunan Peoples R China Natl Univ Def Technol Natl Key Lab Parallel & Distributed Proc Changsha 410073 Hunan Peoples R China

ISBN: (纸本)9783319271613;9783319271606

Hierarchical identity-based cryptography is an efficient technology to address the security issues in cloud storage. However, the inherent key escrow problem primarily hinders the widespread adoption of this cryptosystem in practice. To address the key escrow problem, this paper proposes an escrow-free hierarchical identity-based signature model, in which a user signs messages with a user-selected secret and PKG signing factor apart from the private key. For proving the full security, we formulate three security games with respect to our signature model. We instantiate the escrow-free model into a specific scheme based on the SHER-IBS scheme and prove that our scheme is secure against adaptive chosen ID and message attacks.

关键词： Cryptanalysis Hierarchical identity-based signature Key escrow Bilinear pairing CDH assumption

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One-Sided Communication in Coarray Fortran: Performance Tests on th-1A 18th

One-Sided Communication in Coarray Fortran: Performance Test...

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18th international conference on algorithms and architectures for parallel processing (ica3pp)

作者： Guo, Peiming Wu, Jianping Natl Univ Def Technol Sch Meteorol & Oceanol Changsha 410073 Peoples R China

ISBN: (纸本)9783030050634;9783030050627

One-sided communication mechanism of Messaging Passing Interface (MPI) has been extended by remote memory access (RMA) from several aspects, including interface, language and compiler, etc. Coarray Fortran (CAF), as an emerging syntactic extension of Fortran to satisfy one-sided communication, has been freely supported by the open-source and widely used GNU Fortran compiler, which relies on MPI-3 as the transport layer. In this paper, we present the potential of RMA to benefit the communication patterns in Cannon algorithm. EVENTS, a safer implementation of atomics to synchronize different processes in CAF, are also introduced via classic Fast Fourier Transform (FFT). In addition, we also studied the performance of one-sided communication based on different compilers. In our tests, one-sided communication outperforms two-sided communication only when the data size is large enough (in particular, inter-node transfer). CAF is slightly faster than the simple one-sided routines without optimization by compiler in MPI-3. EVENTS are capable of improving the performance of parallel applications by avoiding the idle time.

关键词： One-sided communication Coarray Fortran MPI

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Formalizing Data Locality in Task parallel Applications 16th

Formalizing Data Locality in Task Parallel Applications

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16th international conference on algorithms and architectures for parallel processing (ica3pp)

作者： Ceballos, German Hagersten, Erik Black-Schaffer, David Uppsala Univ Dept Informat Technol Uppsala Sweden

ISBN: (纸本)9783319499567;9783319499550

Task-based programming provides programmers with an intuitive abstraction to express parallelism, and runtimes with the flexibility to adapt the schedule and load-balancing to the hardware. Although many profiling tools have been developed to understand these characteristics, the interplay between task scheduling and data reuse in the cache hierarchy has not been explored. these interactions are particularly intriguing due to the flexibility task-based runtimes have in scheduling tasks, which may allow them to improve cache behavior. this work presents StatTask, a novel statistical cache model that can predict cache behavior for arbitrary task schedules and cache sizes from a single execution, without programmer annotations. StatTask enables fast and accurate modeling of data locality in task-based applications for the first time. We demonstrate the potential of this new analysis to scheduling by examining applications from the BOTS benchmarks suite, and identifying several important opportunities for reuse-aware scheduling.

关键词： Task-based Cache modeling Performance model

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Improving Speculation Accuracy with Inter-thread Fetching Value Prediction 1

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14th international conference on algorithms and architectures for parallel processing (ica3pp)

作者： Xu, Fan Shen, Li Wang, Zhiying Guo, Hui Su, Bo Chen, Wei Natl Univ Def Technol Coll Comp State Key Lab High Performance Comp Changsha 410073 Hunan Peoples R China

ISBN: (数字)9783319111940

ISBN: (纸本)9783319111940;9783319111933

Conventional software speculative parallel models are facing challenges due to the increasing number of the processor core and the diversification of the application. the speculation accuracy is one of the key factors to the performance of software speculative parallel model. In this paper, we proposed a novel value prediction mechanism named Inter-thread Fetching Value Prediction(IFVP). It supports a speculative thread to read the values of conflict variables speculatively from another speculative thread. this method can remarkably reduce the miss speculation rate in a loop to be parallelized with cross-iter dependencies. We have proved that the IFVP can improve the speculation accuracy by about 19.1% on the average, and can improve the performance by about 37.1% on the average, compared with the conventional models without value prediction.

关键词： computer architecture thread level speculation parallel computing

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Energy-Aware Query processing on a parallel Database Cluster Node 16th

Energy-Aware Query Processing on a Parallel Database Cluster...

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16th international conference on algorithms and architectures for parallel processing (ica3pp)

作者： Roukh, Amine Bellatreche, Ladjel Tziritas, Nikos Ordonez, Carlos Univ Mostaganem Mostaganem Algeria Univ Poitiers LIAS ISAE ENSMA Poitiers France Chinese Acad Sci Shenzhen Peoples R China Univ Houston Houston TX USA

ISBN: (纸本)9783319495835;9783319495828

In the last few years, we have been seeing a significant increase in research about the energy efficiency of hardware and software components in both centralized and parallel platforms. In data centers, DBMSs are one of the major energy consumers, in which, a large amount of data is queried by complex queries running daily. Having green nodes is a pre-condition to design an energy-aware parallel database cluster. Generally, the most existing DBMSs focus on high-performance during query optimization phase, while usually ignoring the energy consumption of the queries. In this paper, we propose a methodology, supported by a tool called EnerQuery, that makes nodes of parallel database clusters saving energy when optimizing queries. To show its effectiveness, we implement our proposal on the top of PostgreSQL DBMS query optimizer. A mathematical cost model based on a machine learning technique is defined and used to estimate the energy consumption of SQL queries.

关键词： Energy utilization

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