標題: Titlebook: Algorithms and Architectures for Parallel Processing; 20th International C Meikang Qiu Conference proceedings 2020 Springer Nature Switzerl [打印本頁] 作者: AMUSE 時間: 2025-3-21 17:39
書目名稱Algorithms and Architectures for Parallel Processing影響因子(影響力)
書目名稱Algorithms and Architectures for Parallel Processing影響因子(影響力)學科排名
書目名稱Algorithms and Architectures for Parallel Processing網(wǎng)絡公開度
書目名稱Algorithms and Architectures for Parallel Processing網(wǎng)絡公開度學科排名
書目名稱Algorithms and Architectures for Parallel Processing被引頻次
書目名稱Algorithms and Architectures for Parallel Processing被引頻次學科排名
書目名稱Algorithms and Architectures for Parallel Processing年度引用
書目名稱Algorithms and Architectures for Parallel Processing年度引用學科排名
書目名稱Algorithms and Architectures for Parallel Processing讀者反饋
書目名稱Algorithms and Architectures for Parallel Processing讀者反饋學科排名
作者: terazosin 時間: 2025-3-21 21:48
Conference proceedings 2020or Parallel Processing, ICA3PP 2020, in New York City, NY, USA, in October 2020...The total of 142 full papers and 5 short papers included in this proceedings volumes was carefully reviewed and selected from 495 submissions...ICA3PP is covering the many dimensions of parallel algorithms and architec作者: 商業(yè)上 時間: 2025-3-22 00:54
Der Faschismus als soziale Wirtschaftsmachte predictive performance. Furthermore, it is highly optimized to process a massive volume of data. Experimental results demonstrate that it can significantly improve the predictive performance by 7% compared to SOTA algorithms.作者: 擁護 時間: 2025-3-22 04:55 作者: Vertical 時間: 2025-3-22 10:38
https://doi.org/10.1007/978-3-642-92456-9ur work on the broadly used CNN model, LeNet-5, on Field Programmable Gate Arrays (FPGA) for the correctness validation. Comparing to traditional x86 and MIPS ISAs, our design provides a higher code density and performance efficiency.作者: 指數(shù) 時間: 2025-3-22 15:30
E. M?ller-Arnold,E. Feichtingershared and cross-regional deployed metadata service to minimize the access delay of metadata. Finally, the approach presented in this paper has been validated to be effective through a series of evaluation experiments and actual use cases.作者: 宣誓書 時間: 2025-3-22 17:38 作者: gout109 時間: 2025-3-23 01:13 作者: Perceive 時間: 2025-3-23 04:23
https://doi.org/10.1007/978-3-662-58192-6s of our approach with several network models, including VGG and ResNet. Experimental results show that on CIFAR-10, our method reduces inference costs for VGG-16 by up?to 44% and ResNet-32 by up?to 50%, while the accuracy can regain close to the original level.作者: 抱負 時間: 2025-3-23 08:10
DAFEE: A Scalable Distributed Automatic Feature Engineering Algorithm for Relational Datasetse predictive performance. Furthermore, it is highly optimized to process a massive volume of data. Experimental results demonstrate that it can significantly improve the predictive performance by 7% compared to SOTA algorithms.作者: anus928 時間: 2025-3-23 11:17 作者: MELD 時間: 2025-3-23 17:54
Design of a Convolutional Neural Network Instruction Set Based on RISC-V and Its Microarchitecture Iur work on the broadly used CNN model, LeNet-5, on Field Programmable Gate Arrays (FPGA) for the correctness validation. Comparing to traditional x86 and MIPS ISAs, our design provides a higher code density and performance efficiency.作者: Gerontology 時間: 2025-3-23 21:31 作者: arbovirus 時間: 2025-3-23 22:53
QoS-Aware and Fault-Tolerant Replica Placementient heuristic algorithms. Finally the proposed algorithms are evaluated with extensive network configurations and the experimental results show that the proposed heuristic algorithms can generate solutions very close to the optimal results.作者: exorbitant 時間: 2025-3-24 05:35 作者: 土產(chǎn) 時間: 2025-3-24 10:33
A Novel Clustering-Based Filter Pruning Method for Efficient Deep Neural Networkss of our approach with several network models, including VGG and ResNet. Experimental results show that on CIFAR-10, our method reduces inference costs for VGG-16 by up?to 44% and ResNet-32 by up?to 50%, while the accuracy can regain close to the original level.作者: Vldl379 時間: 2025-3-24 11:55 作者: defuse 時間: 2025-3-24 16:25
https://doi.org/10.1007/978-3-662-58194-0minal devices. Experiments have revealed the characteristics of components execution in the proposed architecture, showing that the system can improve computing performance under the real-world unstable network environments.作者: MOT 時間: 2025-3-24 22:51
Edge-Assisted Federated Learning: An Empirical Study from Software Decomposition Perspective We conduct an empirical study on a classic convolutional neural network to validate our framework. Experiments show that this method can effectively shorten the time cost for mobile terminals to perform local training in the federated learning process.作者: 內(nèi)閣 時間: 2025-3-25 00:59 作者: LUCY 時間: 2025-3-25 04:31 作者: LAP 時間: 2025-3-25 07:54
Der Faschismus als soziale Wirtschaftsmachtocessing becomes more and more important. As a result, there is a tremendous amount of real-time spatial data in real-time spatial data warehouse. The continuous growth in the amount of data seems to outspeed the advance of the traditional centralized real-time spatial data warehouse. As a solution,作者: 官僚統(tǒng)治 時間: 2025-3-25 12:47
Der Faschismus als soziale Wirtschaftsmachtion, and natural language processing. Large-scale CNNs generally have encountered limitations in computing and storage resources, but sparse CNNs have emerged as an effective solution to reduce the amount of computation and memory required. Though existing neural networks accelerators are able to ef作者: giggle 時間: 2025-3-25 15:53 作者: dandruff 時間: 2025-3-25 21:08
https://doi.org/10.1007/978-3-662-37026-1embedding is the key to solving the problems of parallel structure simulation and layout design of VLSI. Wirelength is a criterion measuring the quality for graph embedding. And it is extensively used for VLSI design. Owing to the limitation of the chip area, the total wirelength of embedded network作者: 神化怪物 時間: 2025-3-26 00:40 作者: seroma 時間: 2025-3-26 08:03 作者: antipsychotic 時間: 2025-3-26 11:22
Der Feinere Bau der Blutcapillarenional neural networks (CNNs) has been widely concerned because of its high precision advantage. However, CNNs are usually computationally large. And in addition to the widely used GPUs, but which has higher energy. And FPGA is gradually used to achieve CNNs acceleration due to its high performance, 作者: Herd-Immunity 時間: 2025-3-26 16:34
Dies ist ein Kochbuch gegen ein Vorurteil,e running time and memory overhead of quantum computing is increased exponentially, which means that it is challenging to be simulated on a traditional computer. The current mainstream work solves this problem by using multi-node clusters, and we find that its single-node performance has not been ef作者: GUILT 時間: 2025-3-26 17:00
Dies ist ein Kochbuch gegen ein Vorurteil,tasets. On the other hand, combining data from multiple institutions for a big and varied training set helps enhance the performance of data mining. Due to privacy concerns, different institutions should encrypt their datasets with different keys. Support Vector Machine (SVM) is a popular classifier作者: predict 時間: 2025-3-27 00:08 作者: 隼鷹 時間: 2025-3-27 01:40
E. M?ller-Arnold,E. Feichtingernt network systems with high Quality of Service (.) guarantee. In this paper, an optimal replica placement problem is formulated in terms of minimizing the replica placement cost subject to both . and fault-tolerant constraints. Based on the generalized graph model, the optimal replica placement pro作者: 吝嗇性 時間: 2025-3-27 07:32 作者: 公式 時間: 2025-3-27 11:58
Der Felsbau, Band 1, Theoretischer Teilatly helps Earth scientists on their research, conducting data processing and analytics from the data is getting more and more time consuming and complicated. One common data processing task is to aggregate satellite observation data from original pixel level to latitude-longitude grid level to easi作者: OTTER 時間: 2025-3-27 16:34 作者: agenda 時間: 2025-3-27 18:20
https://doi.org/10.1007/978-3-662-58194-0en dedicated to algorithms and optimizations in the cloud-edge data cache and computation offloading schemes, while there is a blank in practical implementation to facilitate such a paradigm. In this work, we proposed a component-based framework that facilitates dynamic partitioning of a software pr作者: 光明正大 時間: 2025-3-27 22:58
Leopold Müller-Salzburg,Edwin Feckerd high quality of service (QoS) requirements. However, the mobility of end users in smart city systems can result in considerable network performance and QoS degradation, hence interrupting fog services provisioning. . is considered an effective solution to avoid service interruption and ensure serv作者: Airtight 時間: 2025-3-28 02:42
https://doi.org/10.1007/978-3-662-58192-6orage costs. It is difficult to deploy this model on embedded systems. Therefore, model compress is a popular solution to reduce the above overheads. In this paper, a new filter pruning method based on the clustering algorithm is proposed to compress network models. First, we perform clustering with作者: Emasculate 時間: 2025-3-28 07:38
https://doi.org/10.1007/978-3-662-58198-8 achieved through single vehicle sensors, such as a camera or LiDAR. Consider the low cost and wide application of optical cameras, a simple image segmentation-based on-road object tracking model is proposed. Different from the detection-based tracking with bounding box, our model improves tracking 作者: figurine 時間: 2025-3-28 13:02 作者: Terminal 時間: 2025-3-28 15:30 作者: amnesia 時間: 2025-3-28 21:10
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/153061.jpg作者: BUOY 時間: 2025-3-29 02:00
Distributing Data in Real Time Spatial Data Warehouseocessing becomes more and more important. As a result, there is a tremendous amount of real-time spatial data in real-time spatial data warehouse. The continuous growth in the amount of data seems to outspeed the advance of the traditional centralized real-time spatial data warehouse. As a solution,作者: 彈藥 時間: 2025-3-29 05:09
Accelerating Sparse Convolutional Neural Networks Based on Dataflow Architectureion, and natural language processing. Large-scale CNNs generally have encountered limitations in computing and storage resources, but sparse CNNs have emerged as an effective solution to reduce the amount of computation and memory required. Though existing neural networks accelerators are able to ef作者: 工作 時間: 2025-3-29 07:39
DAFEE: A Scalable Distributed Automatic Feature Engineering Algorithm for Relational Datasetsrity of existing approaches are designed to handle tasks with only one data source, which are less applicable to real scenarios. In this paper, we present a distributed automatic feature engineering algorithm, DAFEE, to generate features among multiple large-scale relational datasets. Starting from 作者: 確定方向 時間: 2025-3-29 15:18 作者: glans-penis 時間: 2025-3-29 18:00 作者: CAND 時間: 2025-3-29 21:08
Design of a Convolutional Neural Network Instruction Set Based on RISC-V and Its Microarchitecture Ierence processes. Various software optimization has been examined towards existing hardware devices such as CPU and GPU to meet the computation needs; however, the performance gap between ideal and reality will keep going if there is short of hardware support. In this paper, we propose a customized 作者: Mri485 時間: 2025-3-30 01:42
Optimizing Accelerator on FPGA for Deep Convolutional Neural Networksional neural networks (CNNs) has been widely concerned because of its high precision advantage. However, CNNs are usually computationally large. And in addition to the widely used GPUs, but which has higher energy. And FPGA is gradually used to achieve CNNs acceleration due to its high performance, 作者: condemn 時間: 2025-3-30 04:11 作者: 賞心悅目 時間: 2025-3-30 09:59 作者: 一窩小鳥 時間: 2025-3-30 12:49 作者: 悅耳 時間: 2025-3-30 17:04
QoS-Aware and Fault-Tolerant Replica Placementnt network systems with high Quality of Service (.) guarantee. In this paper, an optimal replica placement problem is formulated in terms of minimizing the replica placement cost subject to both . and fault-tolerant constraints. Based on the generalized graph model, the optimal replica placement pro作者: 初次登臺 時間: 2025-3-30 21:38 作者: laxative 時間: 2025-3-31 03:19 作者: 暗語 時間: 2025-3-31 08:10
Edge-Assisted Federated Learning: An Empirical Study from Software Decomposition Perspectivethe computing ability of the terminal device, the training efficiency becomes an issue when training some complex deep neural network models. On the other hand, edges, the nearby stationary devices with higher computational capacity, might serve as a help. This paper presents the design of a compone作者: affluent 時間: 2025-3-31 11:36
A Dynamic Partitioning Framework for Edge-Assisted Cloud Computingen dedicated to algorithms and optimizations in the cloud-edge data cache and computation offloading schemes, while there is a blank in practical implementation to facilitate such a paradigm. In this work, we proposed a component-based framework that facilitates dynamic partitioning of a software pr作者: keloid 時間: 2025-3-31 14:29
Deep Reinforcement Learning for Intelligent Migration of Fog Services in Smart Citiesd high quality of service (QoS) requirements. However, the mobility of end users in smart city systems can result in considerable network performance and QoS degradation, hence interrupting fog services provisioning. . is considered an effective solution to avoid service interruption and ensure serv作者: Gentry 時間: 2025-3-31 19:18 作者: 分解 時間: 2025-3-31 23:12
Fast Segmentation-Based Object Tracking Model for Autonomous Vehicles achieved through single vehicle sensors, such as a camera or LiDAR. Consider the low cost and wide application of optical cameras, a simple image segmentation-based on-road object tracking model is proposed. Different from the detection-based tracking with bounding box, our model improves tracking 作者: right-atrium 時間: 2025-4-1 04:25
Algorithms and Architectures for Parallel Processing20th International C作者: 喚醒 時間: 2025-4-1 09:03
