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An Efficient Data Structure for Sparse Bit-Vectors with Applications in Neuromorphic computing 28

An Efficient Data Structure for Sparse Bit-Vectors with Appl...

引用

28th IEEE international symposium on Asynchronous Circuits and Systems (ASYNC)

作者： Purohit, Prafull Leugering, Johannes Manohar, Rajit Yale Univ Elect Engn New Haven CT 06520 USA Fraunhofer Inst Integrated Circuits IIS Broadband & Broadcast Dept Erlangen Germany

ISBN: (纸本)9798350305760

Iterating over all the elements of a set is a very common problem in highly parallel systems. In hardware, this is typically realized by either storing the set-membership of each element in a fixed-length bit-vector or by storing just the indices of the members in a dynamically sized queue. However, the former solution is only efficient in terms of memory and runtime if each element is a member of the set with approximately 50% probability, whereas the latter is only efficient if the set is extremely sparse. We propose an alternative asynchronous, concurrent, distributed data structure based on a binary tree topology that is more efficient for sets with sparsity in between these two extremes. The proposed structure allows us to construct a set by adding individual elements one at a time in arbitrary order, and to iterate over all these elements exactly once, clearing the set in the process. We analyzed this data structure, simulated its behavior in CHP, synthesized it into an asynchronous digital circuit, optimized the circuits, and performed SPICE simulation to evaluate our design. The results confirm that our proposed structure offers a low-latency, low-power solution for moderately sparse data, and may thus prove useful for asynchronous and neuromorphic systems.

关键词： data structure neuromorphic systems asynchronous circuits

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High-performance parallel and distributed computing for the BMI eigenvalue problem

High-performance parallel and distributed computing for the ...

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international symposium on parallel and distributed Processing (IPDPS)

作者： K. Aida Y. Futakata JST Tokyo Institute of Technology/PRESTO

The BMI Eigenvalue Problem is one of optimization problems and is to minimize the greatest eigenvalue or a bilinear matrix function. This paper proposes a parallel algorithm to compute the ϵ-optimal solution of the BMI Eigenvalue Problem on parallel and distributed computing systems. The proposed algorithm performs a parallel branch and bound method to compute the e-optimal solution using the Master-Worker paradigm. The performance evaluation results on PC clusters and a Grid computing system showed that the proposed algorithm reduced computation time of the BMI Eigenvalue problem to 1/91 of the sequential computation time on. a PC cluster with 128CPUs and reduced that to 1/7 on a Grid computing system. The results also showed that tuning of the computational granularity on a worker was required to achieve the best performance on a Grid computing system.

关键词： distributed computing Eigenvalues and eigenfunctions Grid computing Concurrent computing Clustering algorithms Control system synthesis Large-scale systems Linear matrix inequalities Size control Control systems

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The 16th Heterogeneity in computing Workshop (HCW 2007)

The 16th Heterogeneity in Computing Workshop (HCW 2007)

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international symposium on parallel and distributed Processing (IPDPS)

Presents the front cover from the conference proceedings.

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GANDPS: Ensuring Both Detection Precision and Stability in GAN-based Anomaly Detection for Network Traffic 21

GANDPS: Ensuring Both Detection Precision and Stability in G...

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21st IEEE international symposium on parallel and distributed Processing with Applications, 13th IEEE international Conference on Big Data and Cloud computing, 16th IEEE international Conference on Social computing and Networking and 13th international Conference on Sustainable computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

作者： Li, Liuhuan Yang, Ximin Zhang, Xiao Yang, Yumeng Chen, Xuefeng Tang, Wan South-Central Minzu University School of Computer Science Wuhan China Key Laboratory of Cyber-Physical Fusion Intelligent Computing State Ethnic Affairs Commission China China Telecom Group GuiZhou Co. Ltd. Guiyang China

ISBN: (纸本)9798350329223

With the ever-growing network traffic and the vast amount of abnormal traffic being created, anomaly detection methods have attracted close attention in the cybersecurity domain. Generative adversarial networks (GANs) have been applied to network traffic anomaly detection, but obtaining high-precision and consistently stable detection results is still challenging for current methods. In the paper, we propose an improved GAN-based anomaly detection method called GANDPS for network traffic. The improved GAN introduces an encoder based on the original GAN, and a specialized layer is integrated into the encoder to process abnormal data. This improvement enables the encoder to effectively capture the features of normal data while distinguishing the features of abnormal data. In addition, an analogous reconstruction training strategy is employed between the generator and the encoder to balance the adversarial training between the generator and the discriminator, thereby improving the detection precision and stability of the GAN-based model. This comprehensive enhancement not only effectively elevates the detection performance of our method, but also ensures stable detection results. Experimental results on public datasets demonstrate that the proposed GANDPS outperforms multiple GAN-based methods in terms of detection precision, recall, and F1-score, and the detection results are stabilized within acceptable ranges. © 2023 IEEE.

关键词： Anomaly detection

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Proceedings of the IEEE symposium on Reliable distributed Systems

Proceedings of the IEEE Symposium on Reliable Distributed Sy...

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36th IEEE international symposium on Reliable distributed Systems, SRDS 2017

ISBN: (纸本)9781538616796

The proceedings contain 33 papers. The topics discussed include: on availability for blockchain-based systems;a horizontally scalable and reliable architecture for location-based publish-subscribe;automated fine tuning of probabilistic self-stabilizing algorithms;reconfiguring parallel state machine replication;a statistical framework on software aging modeling with continuous-time hidden Markov model;hybrid-RC: flexible erasure codes with optimized recovery performance and low storage overhead;correlation-aware stripe organization for efficient writes in erasure-coded storage systems;optimal storage under unsynchronized mobile byzantine faults;pulp: achieving privacy and utility trade-off in user mobility data;CausalSpartan: causal consistency for distributed data stores using hybrid logical Clocks;DottedDB: anti-entropy without Merkle trees, deletes without tombstones;optimal cyber-defense strategies for advanced persistent threats: a game theoretical analysis;AutoFlowLeaker: circumventing web censorship through automation services;optimal network reconfiguration for software defined networks using shuffle-based online MTD;a greedy-based method for modified condition/decision coverage testing criterion;performance modeling of PBFT consensus process for permissioned blockchain network (hyperledger fabric);and detecting TCP-Based DDoS attacks in Baidu cloud computing data centers.

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Job scheduling for grid computing on metacomputers

Job scheduling for grid computing on metacomputers

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international symposium on parallel and distributed Processing (IPDPS)

作者： K. Li Department of Computer Science State University of New York New Paltz NY USA

ISBN: (纸本)0769523129

Scheduling is a fundamental issue in achieving high performance on metacomputers and computational grids. For the first time, the job scheduling problem for grid computing on metacomputers is studied as a combinatorial optimization problem. It is proven that the list scheduling algorithm can achieve reasonable worst-case performance bound in grid environments supporting distributed super computing with large applications. It is also observed that communication heterogeneity does have significant impact on schedule lengths.

关键词： Processor scheduling Grid computing Scheduling algorithm High performance computing Application software Computer networks distributed computing Concurrent computing Costs Bandwidth

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Models and Heuristics for Robust Resource Allocation in parallel and distributed computing Systems

Models and Heuristics for Robust Resource Allocation in Para...

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international symposium on parallel and distributed Processing (IPDPS)

作者： David L. Janovy Jay Smith Howard Jay Siegel Anthony A. Maciejewski Department of Electrical and Computer Engineering Colorado State University Fort Collins CO USA IBM Boulder CO USA Colorado State University Fort Collins CO US

This is an overview of the robust resource allocation research efforts that have been and continue to be conducted by the CSU robustness in computer systems group. parallel and distributed computing systems, consisting of a (usually heterogeneous) set of machines and networks, frequently operate in environments where delivered performance degrades due to unpredictable circumstances. Such unpredictability can be the result of sudden machine failures, increases in system load, or errors caused by inaccurate initial estimation. The research into developing models and heuristics for parallel and distributed computing systems that create robust resource allocations is presented.

关键词： Robustness Resource management distributed computing Stochastic processes Concurrent computing Uncertainty Actuators Computer science Road transportation Degradation

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Activity Based Approach for Teaching parallel computing: An Indian Experience

Activity Based Approach for Teaching Parallel Computing: An ...

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IEEE international symposium on parallel and distributed Processing Workshops and Phd Forum (IPDPSW)

作者： P. Chitra Sheikh K. Ghafoor Thiagarajar College of Engineering Madurai India Tennessee Tech University USA

Due to the rapid growth in the multicore and GPU based computing devices, the need to teach parallel computing in CS/CE curriculum has become almost mandatory nowadays. A course on parallel computing Systems (PCS) has been designed to provide an understanding of the fundamental principles and engineering trade-offs involved in designing modern parallel computing systems as well as to teach parallel programming techniques necessary to effectively utilize these machines. An activity based learning approach was adopted for teaching the course and several parallel programming paradigms and technologies such OpenMP, MPI, and CUDA have been covered. This course was offered as a required course to graduate students. This paper describes the implementation of the course at Thiagarajar College of Engineering. Evaluation of the implementation of the course reveals that for students who have not been exposed to parallel and distributed computing, i) activity based learning results in better knowledge gain compared to the traditional approach, ii) learning OpenMP was much easier than MPI or CUDA, iii) some parallel and distributed computing (PDC) concepts such as false sharing were harder to grasp compared to basic concepts, and iv) it is essential to introduce parallel computing in the undergraduate curriculum.

关键词： parallel processing Graphics processing units Education parallel programming distributed computing

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parallel XML processing by work stealing

Parallel XML processing by work stealing

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16th international symposium on High Performance distributed computing 2007, HPDC'07 and Co-Located Workshops

作者： Lu, Wei Gannon, Dennis Indiana University 150 S. Woodlawn Ave. Bloomington IN 47405

ISBN: (纸本)159593717X

A language for semi-structured documents, XML has emerged as the core of the web services architecture, and is playing crucial roles in messaging systems, databases, and document processing. However, the processing of XML documents has been regarded as the performance bottleneck in most systems and applications. On the other side, the multicore processor, emerged as a solution for the clock-speed limitation of the modern CPUs, has been growingly prevalent. Leveraging the parallelism provided by the multicorere source to speedup the software execution is becoming the trend of the software development. In this paper, we present a parallel processing model for the XML document. The model is not designed just for a specific XML processing task, instead, it is a general model, by which we are able to explore various parallel XML document processing. The kernel of the model is a stealing-based dynamic load-balancing mechanism, called ThreadCrew, by which multiple threads are able to process the disjointed parts of the XML document in parallel with balanced load distribution. The model also provides a novel mechanism to trace the stealing actions, thus the equivalent sequential result can be gotten by gluing the multiple parallel-running results together. To show the feasibility and effectiveness of our approaches, we present our C# implementation of parallel XML serialization in this paper. Our empirical study shows our parallel XML serialization algorithm can improved the XML serializing performance significantly on a multicore machine. Copyright 2007 ACM.

关键词： XML

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A message passing interface for parallel and distributed computing

A message passing interface for parallel and distributed com...

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international symposium on High Performance distributed computing

作者： S. Hariri J.B. Park F.-K. Yu M. Parashar G.C. Fox Northeast Parallel Architectures Center Syracuse University Syracuse NY USA

The proliferation of high performance workstations and the emergence of high speed networks have attracted a lot of interest in parallel and distributed computing (PDC). The authors envision that PDC environments with supercomputing capabilities will be available in the near future. However, a number of hardware and software issues have to be resolved before the full potential of these PDC environments can be exploited. The presented research has the following objectives: (1) to characterize the message-passing primitives used in parallel and distributed computing; (2) to develop a communication protocol that supports PDC; and (3) to develop an architectural support for PDC over gigabit networks.< >

关键词： Message passing distributed computing Computer networks Concurrent computing High-speed networks High performance computing Workstations Protocols Power engineering computing parallel architectures

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