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检索条件"任意字段=Euromicro Conference on Parallel, Distributed and Network-Based Processing"

共 4330 条记录，以下是131-140 订阅

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Proceedings 10th euromicro Workshop on parallel, distributed and network-based processing

Proceedings 10th Euromicro Workshop on Parallel, Distributed...

引用

euromicro conference on parallel, distributed and network-based processing

ISBN: (纸本)0769514448

The following topics are dealt with: parallel, distributed and network-based processing; performance analysis; Web computing; failure handling; Java and Jini; parallel and distributed programming tools for grids; unorthodox computing architectures; systems and applications; message passing; scheduling; algorithms; and mobile ad hoc networks.

关键词： Computer networks Concurrent computing distributed computing Grid computing Performance analysis Java parallel programming Computer architecture Service oriented architecture Message passing

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Fast and scalable in-network lock management using lock fission 24

Fast and scalable in-network lock management using lock fiss...

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Proceedings of the 18th USENIX conference on Operating Systems Design and Implementation

作者： Hanze Zhang Ke Cheng Rong Chen Haibo Chen Institute of Parallel and Distributed Systems SEIEE Shanghai Jiao Tong University and Shanghai AI Laboratory and MoE Key Lab of Artificial Intelligence AI Institute Shanghai Jiao Tong University Institute of Parallel and Distributed Systems SEIEE Shanghai Jiao Tong University and Engineering Research Center for Domain-specific Operating Systems Ministry of Education China Institute of Parallel and Distributed Systems SEIEE Shanghai Jiao Tong University and Shanghai AI Laboratory and Engineering Research Center for Domain-specific Operating Systems Ministry of Education China Institute of Parallel and Distributed Systems SEIEE Shanghai Jiao Tong University and Engineering Research Center for Domain-specific Operating Systems Ministry of Education China and Key Laboratory of System Software (Chinese Academy of Sciences)

ISBN: (纸本)9781939133403

distributed lock services are extensively utilized in distributed systems to serialize concurrent accesses to shared resources. The need for fast and scalable lock services has become more pronounced with decreasing task execution times and expanding dataset scales. However, traditional lock managers, reliant on server CPUs to handle lock requests, experience significant queuing delays in lock grant latency. Advanced network hardware (e.g. programmable switches) presents an avenue to manage locks without queuing delays due to their high packet processing power. Nevertheless, their constrained memory capacity restricts the manageable lock scale, thereby limiting their effect in large-scale *** paper presents FISSLOCK, a fast and scalable distributed lock service that exploits the programmable switch to improve (tail) latency and peak throughput for millions of locks. The key idea behind FISSLOCK is the concept of lock fission, which decouples lock management into grant decision and participant maintenance. FISSLOCK leverages the programmable switch to decide lock grants synchronously and relies on servers to maintain participants (i.e., holders and waiters) asynchronously. By using the programmable switch for routing, FISSLOCK enables on-demand fine-grained lock migration, thereby reducing the lock grant and release delays. FISSLOCK carefully designs and implements grant decision procedure on the programmable switch, supporting over one million locks. Evaluation using various benchmarks and a real-world application shows the efficiency of FISSLOCK. Compared to the state-of-the-art switch-based approach (NetLock), FISSLOCK cuts up to 79.1% (from 43.0%) of median lock grant time in the microbenchmark and improves transaction throughput for TATP and TPC-C by 1.76× and 2.28×, respectively.

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A Transformer-Block-Wise Collaborative Training Mechanism with Hybrid parallelism Over Heterogeneous networks

A Transformer-Block-Wise Collaborative Training Mechanism wi...

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IEEE conference on Wireless Communications and networking

作者： Jiewei Chen Jingrong Wang Shaoyong Guo Jiakai Hao Xuesong Qiu Zehui Xiong State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications State Grid Beijing Information & Communication Company Pillar of Information Systems Technology and Design Singapore University of Technology and Design

ISBN: (数字)9798350368369

ISBN: (纸本)9798350368376

With the rise of AI-Generated Content (AIGC) services in wireless networks, efficient and high-quality distributed training of Large Language Models (LLMs) has become essential for enabling the large-scale application of next generation AI technologies. However, the extensive parameters of LLMs impose significant demands on memory, computing power and communication resources in heterogeneous networks. To efficiently utilize the dispersed network resources, this paper presents a First-Pipeline- Then-Federated Learning (FPTFL) approach with a hybrid parallel scheduling strategy to facilitate the training of Transformer-based LLMs. We propose a block-wise splitting mechanism to partition the Transformer's encoder into distinct segments, which are deployed cross individual devices. The encoder parameters and intermediate smashed data are uploaded to the edge server, where the whole model is updated through federated aggregation. Particularly, we develop a fine-grained computation-efficient method based on pipeline parallelism, enabling the segments to cooperatively train the entire encoder. An optimization problem is formulated to determine the LLM segments and the number of micro-batches under network resource constraints, with the goal of minimizing the total latency of LLM training services. Simulation results demonstrate that our approach enables Transformer-based model training on resource-constrained devices, preserves model performance, and reduces waiting time.

关键词： Training Performance evaluation Large language models Wireless networks Pipelines parallel processing Transformers Heterogeneous networks Classification algorithms Optimization

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Jump Like a Frog: Optimization of Renewable Energy Prediction in Smart Gird based on Ultra Long Term network 30th

Jump Like a Frog: Optimization of Renewable Energy Predict...

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30th International conference on parallel and distributed processing Techniques, PDPTA 2024, held as part of the World Congress in Computer Science, Computer Engineering and Applied Computing, CSCE 2024

作者： Du, Xingbang Zhang, Enzhi Hokkaido University Hokkaido Sapporo060-0808 Japan

ISBN: (纸本)9783031856372

Renewable energy generation forecasting plays crucial roles in advanced smart grid and sustainable practices. Although many RNN related methods have been utilized to predict power generation time series data, they often struggle to capture very long-term correlations efficiently due to the vanishing gradient issue. To address this challenge, we have introduced the Ultra long term network model that incorporated LSTM, SKIP LSTM and Dense components. This model effectively captures long-term patterns while mitigating the vanishing gradient problem associated with capturing very long term patterns. Our application of this model to renewable power prediction has yielded better performance when compared through metrics like MSE and MAE than previous models such as LSTM, GRU and Simple RNN models in time series analysis within smart grids. The integration of this model holds promise for enhancing the intelligence of renewable energy grids. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Clean energy

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Simulation of Protection Mechanisms based on "Nervous network System" against Infrastructure Attacks

Simulation of Protection Mechanisms Based on "Nervous Networ...

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21st euromicro International conference on parallel, distributed, and network-based processing (PDP)

作者： Kotenko, Igor Shorov, Andrey Novikova, Evgenia Russian Acad Sci SPIIRAS St Petersburg Inst Informat & Automat Lab Comp Secur Problems St Petersburg Russia

ISBN: (纸本)9780769549392;9781467353212

The paper is devoted to the analysis of the network protection mechanism "nervous network system" based on the bio-inspired metaphor. Packet-level simulation is proposed in order to investigate the "nervous network system" protection mechanism. We describe the architecture of the protection system based on the given mechanism, its operation algorithms and present results of the experiments. Using obtained results the efficiency of the protection mechanism "nervous network system" against infrastructure attacks is analyzed.

关键词： computer network protection simulation bio-inspired approaches infrastructure attacks DDoS-attacks network worms

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The PPPSpace: Innovative Concepts for Permanent Capturing, Persistent Storing, and parallel processing and Distributing Events

The PPPSpace: Innovative Concepts for Permanent Capturing, P...

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18th euromicro International conference on parallel, distributed and network-based processing (PDP)

作者： Gross, Tom Beckmann, Christoph Schirmer, Maximilian Bauhaus Univ Weimar Fac Media D-99423 Weimar Germany

ISBN: (纸本)9780769539393

Media spaces provide users with flexible support for easy interaction with technology and with each other, both at the same place and over distance. From a technological perspective the development of these environments is often inefficient, since most environments are developed specifically, without any synergies or reuse of previous concepts and implementations. In this paper we present the cooperative media space PPPSpace that is based on powerful technical parallel and distributed software engineering concepts and at the same time easy to use for end-users.

关键词： distributed System Event Notification Infrastructure Media Space End-User Configuration

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Efficient parallel Execution of Streaming Applications on Multi-Core Processors

Efficient Parallel Execution of Streaming Applications on Mu...

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19th International euromicro conference on parallel, distributed and network-based processing (PDP)

作者： Schuele, Tobias Siemens AG Syst Architecture & Platforms Corp Technol Munich Germany

ISBN: (纸本)9780769543284

We propose a method for the parallel execution of applications that process continuous streams of data. Unlike pipeline-based approaches, which are frequently employed to parallelize software for multi-core processors, our method supports nonlinear structures that may contain conditionals. Nonlinear structures reduce the latency for processing an element from a stream, which is particularly important for embedded systems that are subject to real-time constraints.

关键词： Multi-core processors parallel execution Time constraints Embedded systems Continuous flow Streaming Latency NONLINEAR STRUCTURES processing Element streams computer software

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Optimizing Secure Information Interaction in distributed Computing Systems by the Sequential Concessions Method 28

Optimizing Secure Information Interaction in Distributed Com...

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28th euromicro International conference on parallel, distributed and network-based processing (PDP)

作者： Kotenko, Igor Sineshchuk, Yury Saenko, Igor Russian Acad Sci SPIIRAS St Petersburg Inst Informat & Automat St Petersburg Russia St Petersburg Univ Minist Internal Affairs Russian Federat St Petersburg Russia

ISBN: (纸本)9781728165820

The paper proposes a new approach to multicriteria optimization of the structure of secure information interaction in distributed computing systems. A distinguishing feature of the approach is the use of the sequential concessions method. This approach provides the acceptable flexibility in comparing the system construction variants by taking into account not only the priority of the system according to efficiency indicators, but also the relationships of the indicators. The mathematical basis of the proposed method is considered. The procedure of implementation of the proposed method for ensuring security of information interaction in a distributed hierarchical automated control system is demonstrated, and its experimental assessment is given.

关键词： distributed computer network cyber-physical systems optimization method of sequential concessions

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Accelerating Actor-based Applications with parallel Patterns 27

Accelerating Actor-based Applications with Parallel Patterns

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27th euromicro International conference on parallel, distributed and network-based processing (PDP)

作者： Rinaldi, Luca Torquati, Massimo Mencagli, Gabriele Danelutto, Marco Menga, Tullio Univ Pisa Dept Comp Sci Pisa Italy ATS Adv Technol Solut SpA Milan Italy

ISBN: (纸本)9781728116440

parallel programmers mandate high-level parallel programming tools allowing to reduce the effort of the efficient parallelization of their applications. parallel programming leveraging parallel patterns has recently received renovated attention thanks to their clear functional and parallel semantics. In this work, we propose a synergy between the well-known Actors-based programming model and the pattern-based parallelization methodology. We present our preliminary results in that direction, discussing and assessing the implementation of the Map parallel pattern by using an Actor-based software accelerator abstraction that seamlessly integrates within the C++ Actor Framework (ICAF). The results obtained on the Intel Xeon Phi KNL platform demonstrate good performance figures achieved with negligible programming efforts.

关键词： Computational modeling Message systems Software C++ languages parallel programming Semantics

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Improving Latency in a Signal processing System on the Epiphany Architecture 24

Improving Latency in a Signal Processing System on the Epiph...

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24th euromicro International conference on parallel, distributed, and network-based processing (PDP)

作者： Brauer, Peter Lundqvist, Martin Mallo, Aare Ericsson AB Gothenburg Sweden

ISBN: (纸本)9781467387767

In this paper we use the Adapteva Epiphany manycore chip to demonstrate how the throughput and the latency of a baseband signal processing chain, typically found in LTE or WiFi, can be optimized by a combination of task- and data parallelization, and data pipelining. The parallelization and data pipelining are facilitated by the shared memory architecture of the Epiphany, and the fact that a processor on one core can write directly into the memory of any other core on the chip.

关键词： Latency throughput Epiphany manycore real-time signal processing baseband parallelization pipelining synchronization barrier

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