Search Results - "parallel and distributed processing"

Proceedings : International Parallel and Distributed Processing Symposium, April 15-19, 2002, Ft. Lauderdale, Florida, USA by IEEE Symposium on Parallel and Distributed Processing, IEEE Computer Society. Technical Committee on Parallel Processing

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Scalability Analysis of Parallel and Distributed Processing Systems via Fork and Join Queueing Network Models by Zeng, Yun

“…Parallel and distributed processing systems are foundational to the success of cloud computing and big data analytics…”
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Parallel Prediction Method of Knowledge Proficiency Based on Bloom’s Cognitive Theory by Zhang, Tiancheng, Mao, Hanyu, Liu, Hengyu, Liu, Yingjie, Yu, Minghe, Wu, Wenhui, Yu, Ge, Wei, Baoze, Guan, Yajuan

“…Knowledge proficiency refers to the extent to which students master knowledge and reflects their cognitive status. To accurately assess knowledge proficiency,…”
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Introduction: Parallel and Distributed Processing

“… Being devoted to recent advances in parallel and distributed processing systems, the Special Issue covers a wide range of subjects, from architectures to algorithms, from protocols to performance evaluation. They, and other topics, may eventually justify special issues of their own…”
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GOP-level parallelization of the H.264 decoder without a start-code scanner by Gurhanli, Ahmet, Chen, Charlie Chung-Ping, Shih-Hao Hung

“… This approach lets all the cores work on the decoding task. Although the performance on shared memory systems is subject to improve, we have observed…”
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Cluster computing-based EEG sub-band signal extraction with channel-wise and time-slice-wise data partitioning technique by Dilliwar, Vikas, Sahu, Mridu, Rakesh, Nitin

“…Cluster computing provides an effective approach in implementing parallel and distributed processing using existing computing resources of any institute or organization…”
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Cross-subject Drowsiness Recognition Model Based on the Multi-scale Parallel Convolution of EEG Channels by Li, Songquan, Zhu, Rongbo, Yuan, Jun, Wan, Shaohua

“…Cross-subject electroencephalogram (EEG) drowsiness recognition is currently one of the most efficient methods…”
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Machine Learning-assisted Computational Steering of Large-scale Scientific Simulations by Liu, Wuji, Ye, Qianwen, Wu, Chase Q., Liu, Yangang, Zhou, Xin, Shan, Yunpeng

“…Next-generation scientific applications in various fields are experiencing a rapid transition from traditional experiment-based methodologies to large-scale…”
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Drill: Log-based Anomaly Detection for Large-scale Storage Systems Using Source Code Analysis by Zhang, Di, Egersdoerfer, Chris, Mahmud, Tabassum, Zheng, Mai, Dai, Dong

“…Large-scale storage systems, a critical part of modern computing systems, are subject to various runtime bugs, failures, and anomalies in production…”
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SFS: A Simple File System for Teaching Parallelism in Computer Systems by Railing, Brian P., Kebuladze, Lukas, Deyak, Nathan, Weinberg, Zachary

“…With the growing importance of parallelism to all aspects of computing, we believe it is important to cover the subject in some depth throughout the curriculum, instead of reserving it for advanced…”
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Data Collection of IoT Devices Using an Energy-Constrained UAV by Li, Yuchen, Liang, Weifa, Xu, Wenzheng, Jia, Xiaohua

“… and the sojourn duration at each of the hovering locations such that the accumulative volume of data collected is maximized, subject to the energy capacity on the UAV, where the UAV consumes its energy…”
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Invited paper: An Artificial Matrix Generator for Multi-platform SpMV Performance Analysis by Galanopoulos, Dimitrios, Mpakos, Panagiotis, Anastasiadis, Petros, Koziris, Nectarios, Goumas, Georgios

“… The optimization of this kernel and the identification of bottlenecks that limit its performance have been the subject of considerable research efforts…”
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AnyQ: An Evaluation Framework for Massively-Parallel Queue Algorithms by Kenzel, Michael, Lemme, Stefan, Membarth, Richard, Kurtenacker, Matthias, Devillers, Hugo, Steinberger, Markus, Slusallek, Philipp

“…Concurrent queue algorithms have been subject to extensive research. However, the target hardware and evaluation methodology on which the published results…”
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Graph Convolutional Neural Networks for Alzheimer's Classification with Transfer Learning and HPC Methods by Kumar, Anoop, Balaji, Vibha, Chandrashekar, M.A., Dukkipati, Ambedkar, Vadhiyar, Sathish

“… We study the impact of the various parameters including the thresholds used for graph generation, graph sizes, data sizes or the number of subjects, and classification accuracy across different visits of the subjects…”
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Parallel Tensor Train Rounding using Gram SVD by Al Daas, Hussam, Ballard, Grey, Manning, Lawton

“… Formal tensor train arithmetic often causes an artificial increase in the TT ranks. Thus, a key operation for applications that use the TT format is rounding, which truncates the TT ranks subject to an approximation error guarantee…”
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Evaluating Checkpointing Capability against Eclipse-based Stake-Bleeding Attack in PoS Blockchain by Fu, Minghao, Zhu, Haoran, Misic, Jelena, Misic, Vojislav B., Bai, Jing, Chang, Xiaolin

“… We develop a Monte Carlo simulator to capture the dynamics of a PoS blockchain system, which is subject to ESB attack and deploys checkpoint-base defense scheme…”
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Q-CASA Invited Speaker Structured noise in quantum computers: an obstacle or an opportunity? by Kapit, Eliot

“…The single greatest challenge in building workable quantum computers is noise, arising from uncontrolled interactions between qubits and their surrounding…”
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Parallel Ant Colony Optimization for Flow Shop Scheduling Subject to Limited Machine Availability by Yumei Huo, Jun Xiong Huang

“…) are presented and applied to Permutation Flowshop Scheduling Problem subject to limited machine availability…”
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Towards Java-based HPC using the MVAPICH2 Library: Early Experiences by Al-Attar, Kinan, Shafi, Aamir, Subramoni, Hari, Panda, Dhabaleswar K.

“…) ByteBuffers and Java arrays. Direct ByteBuffers reside outside JVM heaps and are not subject to the garbage collection…”
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Improving Workload Balance of a Marine CSEM Inversion Application by Dagostini, Jessica Imlau, da Silva, Henrique Correa Pereira, Pinto, Vinicius Garcia, Velho, Roberto Machado, Gastal, Eduardo S. L., Schnorr, Lucas Mello

“… The collected data is then subject to data inversion techniques to compute the subsurface resistivity volume under the seabed…”
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