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共 511 条记录，以下是311-320 订阅

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Accelerating a Lossy Compression Method with Fine-Grained parallelism on a GPU

Accelerating a Lossy Compression Method with Fine-Grained Pa...

引用

international symposium on parallel architectures, algorithms and programming (PAAP)

作者： Yifan Wu Jingcheng Shen Masao Okita Fumihiko Ino Graduate School of Information Science and Technology Osaka University Osaka Japan

ISBN: (纸本)9781665496407

With the rapid increase of data size processed by nowadays applications, high-performance compression methods become important to reduce both the memory consumption and the amount of data transfer. However, unlike the studies on CPU-based compression methods, those on GPU-based compression methods are insufficient. In this work, we target a lossy compression method that reported a high performance on a CPU-centric supercomputer. We propose schemes with fine-grained parallelism to accelerate the CPU-based method on the GPU, solving data dependency and write conflict issues in compression and decompression processes. Experimental results show that the proposed method achieved both higher performance, i.e., 42.0x and 1.9x speedups at best compared to the original method and a state-of-the-art GPU-based lossy compression method, respectively. Moreover, the proposed method achieved at best 1.2x and 1.8x as large as the compression ratio achieved by the original method and the state-of-the-art GPU-based lossy compression method, respectively.

关键词： Memory management Graphics processing units parallel processing programming Data transfer Supercomputers parallel architectures

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Application of Differential Privacy for Collaborative Filtering Based Recommendation System: A Survey

Application of Differential Privacy for Collaborative Filter...

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international symposium on parallel architectures, algorithms and programming (PAAP)

作者： Dongkun Hou Jie Zhang Jieming Ma Xiaohui Zhu Ka Lok Man School of Advanced Technology Xi'an Jiaotong-Liverpool University Suzhou China

ISBN: (纸本)9781665496407

Collaborative Filtering (CF) is the main technology in recommendation systems. It requires more users' private information to predict personal preferences, so exists the risk of privacy disclosure. Differential Privacy (DP) is a powerful privacy-preserving approach, and it has been widely applied in CF-based recommendation system. However, a comprehensive summary of DP in CF-based recommendation system is lack although many privacy-preserving CF algorithms have been proposed. This paper reviews the existing research based on the principle of DP and the application of CF algorithms. We firstly introduce the theoretical basis and the mechanism employed by DP. Then, two types of CF-based recommendation algorithms with DP are summarized including memory-based and model-based algorithms. Moreover, the optimized CF algorithms with DP in specific application fields are illustrated.

关键词： Industries Differential privacy Privacy Collaborative filtering Perturbation methods Filtering algorithms programming

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Joint Optimization of Path Planning and Task Assignment for Space Robot

Joint Optimization of Path Planning and Task Assignment for ...

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international symposium on parallel architectures, algorithms and programming (PAAP)

作者： Yifei Sun Zikai Zhang Yidong Li Jigang Wu School of Computer Science and Technology Guangdong University of Technology Guangzhou China School of Computer and Information Technology Beijing Jiaotong University State Key Lab of Rail Traffic Control and Safety Beijing Jiaotong University

ISBN: (纸本)9781665496407

The space robot has been used widely in the aerospace industry. Because of the special working environment and limited fuel, an appropriate path is necessary for space robots to work. This paper investigates the path planning for multiple space robots to execute exploration tasks. To reduce the completion latency of exploration tasks, we model the joint problem of path planning and task assignment. Then we propose a combination algorithm named Branch addition path planning and Task Assignment (BTA). Finally, we implement a series of experiments to evaluate the performance of the proposed algorithms. Experimental results show that the proposed algorithm performs better than the Random path planning and Task Assignment algorithm (RTA) constructed also in this paper. Specifically, BTA performs better than RTA in terms of completion latency and BTA can save more fuel than RTA. Furthermore, the path planning algorithms forward search branch addition of BTA performs more stably than the random path planning of RTA in terms of running time.

关键词： Service robots programming Path planning Space exploration parallel architectures Fuels Task analysis

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The Fast Paillier Decryption with Montgomery Modular Multiplication Based on OpenMP

The Fast Paillier Decryption with Montgomery Modular Multipl...

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international symposium on parallel architectures, algorithms and programming (PAAP)

作者： Decong Lin Hongbo Cao Chunzi Tian Yongqi Sun Beijing Jiaotong University Beijing China

ISBN: (纸本)9781665452199

With the increasing awareness of privacy protection and data security, people’s concerns over the confidentiality of sensitive data still limit the application of distributed artificial intelligence. In fact, a new encryption form, called homomorphic encryption(HE), has achieved a balance between security and operability. In particular, one of the HE schemes named Paillier has been adopted to protect data privacy in distributed artificial intelligence. However, the massive computation of modular multiplication in Paillier greatly affects the speed of encryption and decryption. In this paper, we propose a fast CRT-Paillier scheme to accelerate its decryption process. We first introduce the Montgomery algorithm to the CRT-Paillier to improve the process of the modular exponentiation, and then compute the modular exponentiation in parallel by using OpenMP. The experimental results show that our proposed scheme has greatly heightened its decryption speed while preserving the same security level. Especially, when the key length is 4096-bit, its speed of decryption is about 148 times faster than CRT-Paillier.

关键词： Data privacy Data security Distributed databases programming parallel architectures Homomorphic encryption Artificial intelligence

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Tuning parallel program through automatic program analysis

Tuning parallel program through automatic program analysis

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international symposium on parallel architectures, algorithms and Networks (ISPAN)

作者： K.C. Li K. Zhang Department of Computing School of MPCE Macquarie University Sydney NSW Australia

Many current performance analysis systems offer little more than basic measurement and analysis facilities for locating the sources of poor performance, such as load imbalance, communication overhead and synchronization loss. We believe that this is only part of the solution and a system which can provide higher level performance measurement and analysis is highly desirable. In this paper, we describe a new approach to designing performance tuning tools for parallel processing systems. A primary contribution of this work is to explore the way in which the strategies and algorithms used in parallel programs contribute to the poor performance. In order to detect the strategies and algorithms used in parallel programs, a technique called Automatic Program Analysis is used. Our goal is to provide users with higher level performance advices. We present a case study describing how a prototype implementation of our technique was able to identify the performance problem and provide tuning advice.

关键词： Performance analysis programming profession Current measurement Loss measurement Performance loss Prototypes parallel programming Data analysis Data visualization Search problems

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From algorithms to parallel architectures: a formal approach

From algorithms to parallel architectures: a formal approach

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international symposium on parallel Processing

作者： K.M. Elleithy M.A. Bayoumi Computer Engineering Department King Fahd University Dhahran Saudi Arabia The Center for Advanced Computer Studies University of Southwestern Louisiana Lafayette LA USA

The authors introduce a formal approach for synthesis of parallel architectures. Four different forms are used to express the given algorithms: simultaneous recursion, recursion with respect to different variables, fixed nesting and variable nesting. Four different architectures for the same algorithm are obtained. As an example, a matrix-matrix multiplication algorithm is used to obtain four different optimal architectures. The different architectures of this example are compared in terms of area, time, broadcasting and required hardware. The approach is providing two main features: completeness and correctness.< >

关键词： parallel architectures Equations Logic programming User interfaces Concurrent computing Broadcasting Hardware High level synthesis Cost function parallel processing

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Federated Learning for Data Security and Privacy Protection

Federated Learning for Data Security and Privacy Protection

引用

international symposium on parallel architectures, algorithms and programming (PAAP)

作者： Xiaohui Guo The College of Microelectronics and Communication Engineering Chongqing University Chongqing P. R. China

ISBN: (纸本)9781665496407

In recent years, Artificial intelligence (AI) have been applied in many fields, including driverless cars, smart cities, healthcare, finance, etc. However, data island and data privacy security are still two major challenges for AI, federated learning is proposed as a solution. In federated learning, many clients collaborate to train a common model under the coordination of a central server, while keeping the training data decentralized. Each client's data does not leave the local area, and a global shared model is jointly built by means of parameter exchange under the encryption mechanism, the built model serves only the local target in their respective regions. In this paper, we present the definition, classification, and learning process of the federated learning, and discuss the key challenges faced by federated learning and the solutions that are currently available.

关键词： Data privacy Smart cities Soft sensors Transfer learning Training data programming Collaborative work

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A Coherence of Ramsey Phenomena

A Coherence of Ramsey Phenomena

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international symposium on parallel architectures, algorithms and programming (PAAP)

作者： Kai-Rui Wang Cheng-Xi Wang School of Informational Science Yunnan University Kunming China School of Mathematics Capital Normal University Bejing China

The restricted coexistence as an accumulated status or an idea can be used to explain why so-called Ramsey's effects or phenomena exist. From this, some properties, for instance, for all integers q≥ p≥3, a deep inequality R(p, q) ≥ R(p -1, q + 2), are proved, based on coherence of Ramsey's phenomena and the viewpoint of accumulated quantity. Further by known data, we declare finally two Ramsey numbers R(4, 7) = R(5, 5) = 49. The theory is so unusually stunning that it spreads rapidly to all science society and influences permanently people's views toward many problems from modern science and technology, such as celebrated NP-problem from computational complexity theory or theoretic computer, completeness of axiom systems from formal logic or foundation of mathematics, and so forth.

关键词： Coherence Educational institutions Upper bound Convergence Color programming

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An improved heuristic-dynamic programming algorithm for rectangular cutting problem 10th

An improved heuristic-dynamic programming algorithm for rect...

引用

10th international symposium on parallel architectures, algorithms and programming, PAAP 2019

作者： Yin, Aihua Chen, Chong Hu, Dongping Huang, Jianghai Yang, Fan School of Software and Internet of Things Engineering Jiangxi University of Finance and Economics Jiangxi Nanchang China

In this paper, we discussed a two-dimensional cutting problem with defects. In this problem, we are given a rectangular area which contains defects. The objective is to cut some rectangles with a given shape and direction from this rectangular area, which cannot overlap the defects, maximizing some profit associated with the rectangles generating by this cutting. We present an improved Heuristic-Dynamic Program (IHDP) to solve this problem and prove the important theorem about its complexity. The algorithm reduces the size of the discretization sets, establishes one-dimensional knapsack problem with the width and height of the small rectangular blocks, constructs two discretization sets using the obtained solution and the right and upper boundaries of the defects, and performs trial cut lines for each element of the discretization set. The algorithm calculates 14 internationally recognized examples. The experimental results show that it obtains the optimal solution of these examples, and its computing time is nearly ten times higher than that of the latest literature algorithm. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Dynamic programming

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Improvements in parallel job scheduling using gang service

Improvements in parallel job scheduling using gang service

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international symposium on parallel architectures, algorithms and Networks (ISPAN)

作者： F.A.B. da Silva I.D. Scherson Laboratoire ASIM LIP6 Université Pierre et Marie Curie Paris France Department of Information and Computer Science University of California Irvine CA USA

Gang scheduling has been widely used as a practical solution to the dynamic parallel job scheduling problem. parallel threads of a single job are scheduled for simultaneous execution on a parallel computer even if the job does not fully utilize all available processors. Non allocated processors go idle for the duration of the time quantum assigned to the threads. In this paper we propose a class of scheduling policies, dubbed concurrent gang, that is a generalization of gang-scheduling, and allows for the flexible simultaneous scheduling of multiple parallel jobs, thus improving the space sharing characteristics of gang scheduling. However all the advantages of gang scheduling such as responsiveness, efficient sharing of resources, ease of programming, etc., are maintained.

关键词： Processor scheduling Yarn Scheduling algorithm Switches parallel programming Concurrent computing Aggregates NASA Delay Degradation

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