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检索条件"任意字段=International Conference on Parallel and Distributed Processing Techniques and Applications"

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Privacy-Preserving Edge Assistance for Solving Matrix Eigenvalue Problem

Privacy-Preserving Edge Assistance for Solving Matrix Eigenv...

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international conference on Computer Communications and Networks (ICCCN)

作者： Xiaotong Zhao Hanlin Zhang Jie Lin Fanyu Kong Leyun Yu College of Computer Science and Technology Qingdao University Qingdao China School of Computer Science and Technology Xian Jiaotong University Xian China School of Computer Science and Technology Shandong University Jinan China JIC IOT CO. LTD Nanchang China

ISBN: (数字)9798350384611

ISBN: (纸本)9798350348439

The large-scale matrix eigenvalue computation, as a basic mathematical tool, has been widely used in many fields such as face recognition and data analysis. However, local terminal devices lack sufficient resources to undertake heavy computational tasks, which poses a challenge to the applications of eigenvalue computation. In this paper, we propose the first privacy-preserving edge-assisted computation scheme for solving the largest eigenvalue and corresponding eigenvector. We propose a privacy-preserving transformation method to protect data privacy and prevent edge servers from retrieving sensitive information. Mean-while, we design a verification scheme to ensure the correctness of the results returned by the edge servers. In addition, we design a distributed parallel computing scheme to ensure the efficiency of edge computation. Through theoretical analysis and simulation experiments, we verify the feasibility and efficiency of our proposed scheme.

关键词： Performance evaluation Data privacy Protocols Face recognition parallel processing Eigenvalues and eigenfunctions Computational efficiency

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Twenty Years of Automated Methods for Mapping applications on CGRA

Twenty Years of Automated Methods for Mapping Applications o...

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IEEE international Symposium on parallel and distributed processing Workshops and Phd Forum (IPDPSW)

作者： Kevin J. M. Martin Universite de Bretagne Sud Lab-STICC UMR CNRS 6285 Lorient France

ISBN: (数字)9781665497473

ISBN: (纸本)9781665497480

Coarse-Grained Reconfigurable Architectures (CGRAs) emerged about 30 years ago. The very first CGRAs were programmed manually. Fortunately, some compilation approaches appeared rapidly to automate the mapping process. Numerous surveys on these architectures exist. Other surveys also gather the tools and methods, but none of them focuses on the mapping process only. This paper focuses solely on automated methods and techniques for mapping applications on CGRA and covers the last two decades of research. This paper aims at providing the terminology, the problem formulation, and a classification of existing methods. The paper ends with research challenges and trends for the future.

关键词： distributed processing Terminology Scalability conferences Programming Market research Reconfigurable architectures

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Design & Implementation of Brain Controlled Interface For Healthcare applications

Design & Implementation of Brain Controlled Interface For He...

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IEEE distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)

作者： Nandan Prabhu Shripada B Athmik Shetty Dashvanth Gowda Chandra Singh Prameela N S Electronics & Communication Engineering Department Sahaydri College of Engineering & Management Adyar Mangalore India

BCIs have gained significant attention as a means of communication and control for individuals with disabilities or neurological disorders. However, existing BCIs often suffer from limitations such as low accuracy, complexity, and limited functionality, hindering their widespread adoption in healthcare settings. This paper aims to address these limitations by developing a BCI system that incorporates advanced signal processing techniques, machine learning algorithms, and intuitive user interfaces.A functional prototype of the BCI system is developed, integrating appropriate hardware components and software algorithms. Extensive testing and validation are conducted to assess accuracy, reliability, safety, and adaptability, with user feedback gathered through surveys and usability studies to improve user satisfaction.

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A Systematic Analysis of applications Of Blockchain in Healthcare 6

A Systematic Analysis of Applications Of Blockchain in Healt...

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6th IEEE international conference on Signal processing, Computing and Control, ISPCC 2021

作者： Agarwal, Ambuj Kumar Tiwari, Raj Gaurang Kaushal, Rajesh Kumar Kumar, Naveen Chitkara University Institute Of Engineering And Technology Chitkara University Punjab India

ISBN: (纸本)9781665425520

advent of the internet and its impact on healthcare domain made it possible to store, access and update medical records anywhere and anytime. The term 'Electronic Health Record(EHR)' refers to a digital format in which patient information is kept. Because the records are patient-centered, any authorised user can access them from any location, at any time, and from any device. Blockchain is a new technology, booming in most of the industries. Blockchain contains a number of built-in characteristics, including distributed ledger, decentralized storage, authenticity, confidentiality, and immutability and it has progressed actual applications in industries like healthcare. Blockchain achieves fortifying and averting the modification of electronic health records. Blockchain supports the quality of healthcare services to the benefits of both patients and hospitals. This paper investigates the existing techniques used in healthcare blockchain system in the domain of authentication, data integrity, and confidentiality. © 2021 IEEE.

关键词： Blockchain

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A Heterogeneous KBA parallel Algorithm for the Cartesian Discrete Ordinates for Multizone Heterogeneous System

A Heterogeneous KBA Parallel Algorithm for the Cartesian Dis...

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international conference on Computers, Communications, and Systems (ICCCS)

作者： Runhua Li Jie Liu Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha China

Innovations in powerful high-performance computing (HPC) architecture are enabling high-fidelity whole-core neutron transport simulations at reasonable time. Especially, the currently fashionable heterogeneous architectures make the cost of such simulations at very low level. Neutron distribution of a reactor core is governed by the Boltzmann neutron transport equation (BTE), first viable solutions of which need tremendous computer resources. Among of the high-fidelity numerical methods, the discrete ordinates method (SN) is becoming popular in the reaction design community by taking a good balance between computational cost and accuracy. Recently, MT-3000, which is a multizone heterogeneous architecture with a peak double precision performance of 11.6 TFLOPS, is proposed. In this work, the BTE is solved by the SN with heterogenous Koch-Baker-Alcouffe (KBA) parallel algorithms based on the MT-3000 architecture. A communication mechanism has been established to efficiently transmit data among the acceleration cores and the CPU cores. The kernel computation procedure is largely accelerated by the vectorization and instruction pipelining techniques. Numerical experiments show that our formulation could achieve 1.37 TFLOPs with single MT-3000, that is 11.8% of its peak performance.

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A General Offloading Approach for Near-DRAM processing-In-Memory Architectures

A General Offloading Approach for Near-DRAM Processing-In-Me...

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international Symposium on parallel and distributed processing (IPDPS)

作者： Dan Chen Hai Jin Long Zheng Yu Huang Pengcheng Yao Chuangyi Gui Qinggang Wang Haifeng Liu Haiheng He Xiaofei Liao Ran Zheng National Engineering Research Center for Big Data Technology and System/Services Computing Technology and System Lab/Clusters and Grid Computing Lab Huazhong University of Science and Technology China

processing-in-memory (PIM) is promising to solve the well-known data movement challenge by performing in-situ computations near the data. Leveraging PIM features is pretty profitable to boost the energy efficiency of applications. Early studies mainly focus on improving the programmability for computation offloading on PIM architectures. They lack a comprehensive analysis of computation locality and hence fail to accelerate a wide variety of applications. In this paper, we present a general-purpose instruction-level offloading technique for near-DRAM PIM architectures, namely IOTPIM, to exploit PIM features comprehensively. IOTPIM is novel with two technical advances: 1) a new instruction offloading policy that fully considers the locality of the whole on-chip cache hierarchy, and 2) an offloading performance benefit prediction model that directly predicts offloading performance benefits of an instruction based on the input dataset characterizes, preserving low analysis overheads. The evaluation demonstrates that IOTPIM can be applied to accelerate a wide variety of applications, including graph processing, machine learning, and image processing. IOT-PIM outperforms the state-of-the-art PIM offloading techniques by 1.28×-1.51× while ensuring offloading accuracy as high as 91.89% on average.

关键词： Analytical models Technological innovation distributed processing Systematics Image processing Computer architecture Machine learning

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HiddenTor: Toward a User-Centric and Private Query System for Tor BridgeDB

HiddenTor: Toward a User-Centric and Private Query System fo...

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international conference on distributed Computing Systems

作者： Yichen Zang Chengjun Cai Wentao Dong Lei Xu Cong Wang City University of Hong Kong Hong Kong China City University of Hong Kong (Dongguan) Dongguan China

ISBN: (数字)9798350386059

ISBN: (纸本)9798350386066

Tor bridges are crucial, unlisted relays designed to enhance system accessibility and circumvent censorship in the Tor network. Currently, Tor BridgeDB will randomly distribute 1–3 bridge relays to the user per request. Yet, those randomly selected bridges may not meet users' specific needs, e.g., adequate bandwidth for large-file sharing in a certain region. Also, a user's usage metadata (e.g., bridge choices) collected by Tor BridgeDB would inevitably reveal sensitive information about the user, discouraging the use of this censorship-circumvention service. In light of them, we introduce HiddenTor, a user-centric and privacy-focused bridge distribution system that allows Tor users to retrieve bridges privately and precisely (i.e., based on a range of specific criteria). At its core, HiddenTor designs a condition-based private information retrieval (PIR) protocol by building atop a suite of lightweight cryptographic primitives (i.e., function secret sharing). Besides, HiddenTor also crafts several optimization designs to balance the trade-offs between query efficiency and service reliability. The extensive experimental results have confirmed the feasibility and practicality of HiddenTor. For example, our prototype can efficiently handle private queries over 3000 bridges in approximately 2 seconds, which can further be reduced to 0.21 seconds using parallel computing techniques.

关键词： Bridges Privacy Protocols Prototypes parallel processing Metadata Reliability engineering

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Lifetime-Driven Scheduling of Security-Critical Internet-of-Things applications on Real-Time Heterogeneous Multicore Systems 23

Lifetime-Driven Scheduling of Security-Critical Internet-of-...

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23rd IEEE international conference on High Performance Computing and Communications, 7th IEEE international conference on Data Science and Systems, 19th IEEE international conference on Smart City and 7th IEEE international conference on Dependability in Sensor, Cloud and Big Data Systems and applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Shen, Yufan Cao, Kun Cui, Yangguang Zhou, Chengliang Zhang, Gongxuan Zhou, Junlong School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing210094 China College of Information Science and Technology Jinan University Guangzhou510632 China School of Computer Science and Technology East China Normal University Shanghai200241 China

ISBN: (纸本)9781665494571

With the rapid advance in information technology, we have witnessed the emergence of diverse promising Internet-of-things (IoT) applications, such as smart transportation, smart home, healthcare, and environmental monitoring. Due to parallel computing advantages, multicore systems are advocated as a good candidate hardware platform to accelerate the computation completion of IoT applications. However, the limited energy budgets and inherent openness characteristics of IoT scenarios pose fundamental challenges to the design of multicore systems. While making salutary attempts on improving the energy efficiency and augmenting the security level of IoT applications, most of the existing research works neglect the negative impacts of their optimization techniques on the lifetime of multicore platforms. Consequently, multicore systems potentially suffer from the earlier occurrence of permanent faults, i.e., have to be replaced in advance before the desired lifecycle ending point. In this paper, we conduct the first study on scheduling precedence constrained IoT applications depicted by directed acyclic graph (DAG) to minimize the energy consumption of multicore platforms under timing, security, and lifetime constraints. To address this problem, we first present a JADE-based offline algorithm to determine the optimal task-to-core allocation, task execution order, core operating frequency, as well as task security level. Following the offline algorithm, we then design a low-complexity dynamic algorithm to achieve extra energy savings by wisely adjusting core operating frequencies. Results reveal that our solution can reduce 41.48% energy consumption while meeting all design constraints compared to state-of-the-art schemes. © 2021 IEEE.

关键词： Energy consumption Multicore processing Smart cities Heuristic algorithms Smart homes Timing Smart transportation

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parallelDualSPHysics: supporting efficient parallel fluid simulations through MPI-enabled SPH method 22

ParallelDualSPHysics: supporting efficient parallel fluid si...

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Proceedings of the 51st international conference on parallel processing

作者： Sifan Long Xiao-Wei Guo Xiaokang Fan Chao Li Kelvin Wong Ran Zhao Yi Liu Sen Zhang Canqun Yang College of Computer National University of Defense Technology China Institute for Quantum Information & State Key Laboratory of High Performance Computing College of Computer National University of Defense Technology China College of Computer Central South University China

ISBN: (纸本)9781450397339

Smoothed Particle Hydrodynamics (SPH) is a classical mesh-free particle method which has been successfully applied in the field of Computational Fluid Dynamics (CFD). Its advantages over traditional mesh-based methods have made it very popular in simulating problems involving large deformation and free-surface flow. The high computational cost of the SPH method has obstructed its vast application. A lot of research effort has been devoted to accelerating the SPH method using GPU and multi threading. However, developing efficient parallel SPH algorithms on modern high-performance computers (HPCs) remains significantly challenging, especially for simulating real-world engineering problems involving hundreds of millions of particles. In this paper, we proposed an MPI-enabled parallel SPH algorithm and developed the parallelDualSPHysics1, an open-source software supporting efficient parallel fluid simulations. Based on an efficient domain decomposition scheme, the essential data structure and algorithms of DualSPHysics were refactored to build the parallel version. For collaborating with evenly distributed particles on a distributed-memory HPC system, the parallel particle interaction and particle update modules were introduced, which enabled the SPH solver to synchronize computations among multiple processors using MPI. In addition, the redesigned pre-processing and post-processing capabilities of the parallelDualSPHysics supported the applications of this software in a wide range of areas. Real-life test cases with up to 120 million particles were simulated and analyzed on a modern HPC system. The results showed that the parallel efficiency of parallelDualSPHysics exceeds 90 with up to 1024 CPU cores. It indicated that parallelDualSPHysics has the potential for large-scale engineering applications.

关键词： Computational Fluid Dynamics Smoothed Particle Hydrodynamics parallelDualSPHysics parallel Computing

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17th IEEE international Workshop on Automatic Performance Tuning (iWAPT2022)

17th IEEE International Workshop on Automatic Performance Tu...

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IEEE international Symposium on parallel and distributed processing Workshops and Phd Forum (IPDPSW)

作者： Che-Rung Lee Satoshi Ohshima

ISBN: (数字)9781665497473

ISBN: (纸本)9781665497480

The goal of the Seventeenth international Workshop on Automatic Performance Tuning (iWAPT2022) is to bring together researchers who are investigating automated techniques for constructing and/or adapting algorithms and software for high-performance on modern complex machine architectures. iWAPT is a series of workshops that focus on research and techniques related to performance sustainability issues. The series provides an opportunity for researchers and users of automatic performance tuning (AT) technologies to exchange ideas and experiences acquired when applying such technologies to improve the performance of algorithms, libraries, and applications; in particular, on cutting edge computing platforms. The half-day workshops consist of presentations of research papers. Topics of interest include performance modeling; adaptive algorithms; autotuned numerical algorithms; libraries and scientific applications; empirical compilation; automated code generation; frameworks and theories of AT and software optimization; autonomic computing; and context-aware computing.

关键词： conferences Tuning Software algorithms Software Libraries Sustainable development Scientific computing

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