Search Results - Parallel Processing (Computer Science)

Parallel Spectral Clustering in Distributed Systems by Chen, Wen-Yen, Song, Yangqiu, Bai, Hongjie, Lin, Chih-Jen, Chang, Edward Y.

“… We parallelize both memory use and computation on distributed computers. Through an empirical study on a document data set of 193,844 instances and a photo data set of 2,121,863, we show that our parallel algorithm can effectively handle large problems…”
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Parallel spatio-temporal attention-based TCN for multivariate time series prediction by Fan, Jin, Zhang, Ke, Huang, Yipan, Zhu, Yifei, Chen, Baiping

“… Temporal convolutional networks (TCNs) do not suffer from gradient problems and they support parallel calculations, making them a more appropriate choice…”
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Parallel and Distributed Processing: 11th IPPS/SPDP’99 Workshops Held in Conjunction with the 13th International Parallel Processing Symposium and 10th Symposium on Parallel and Distributed Processing San Juan, Puerto Rico, USA, April 12–16, 1999 Proceedings by Rolim, José, Mueller, Frank, Zomaya, Albert Y, Ercal, Fikret, Olariu, Stephan, Ravindran, Binoy, Gustafsson, Jan, Takada, Hiroaki, Olsson, Ron, Kale, Laxmikant V, Beckman, Pete, Haines, Matthew, ElGindy, Hossam, Caromel, Denis, Chaumette, Serge, Fox, Geoffrey, Pan, Yi, Li, Keqin, Yang, Tao, Chiola, G, Conte, G, Mancini, L. V, Méry, Domenique, Sanders, Beverly, Bhatt, Devesh, Prasanna, Viktor

“…; Java for Parallel and Distributed Computing; Optics and Computer Science; Solving Irregularly Structured Problems in Parallel…”
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DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models by Li, Muyang, Cai, Tianle, Cao, Jiaxin, Zhang, Qinsheng, Cai, Han, Bai, Junjie, Jia, Yangqing, Li, Kai, Han, Song

“…Diffusion models have achieved great success in synthesizing high-quality images. However, generating high-resolution images with diffusion models is still…”
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Parallel processing algorithm for railway signal fault diagnosis data based on cloud computing by Cao, Yuan, Li, Peng, Zhang, Yuzhuo

“…To explore the data processing of high-speed railway fault signal diagnosis based on MapReduce algorithm, the partitioning strategy of data flow was improved, and Bias classification algorithm…”
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PEA: Parallel electrocardiogram-based authentication for smart healthcare systems by Zhang, Yin, Gravina, Raffaele, Lu, Huimin, Villari, Massimo, Fortino, Giancarlo

“… Thus, this paper proposes a parallel ECG-based authentication called PEA. Specifically, this paper proposes a hybrid ECG feature extraction method that integrated…”
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A scalable processing-in-memory accelerator for parallel graph processing by Ahn, Junwhan, Hong, Sungpack, Yoo, Sungjoo, Mutlu, Onur, Choi, Kiyoung

“…The explosion of digital data and the ever-growing need for fast data analysis have made in-memory big-data processing in computer systems increasingly important…”
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Recognizing apple leaf diseases using a novel parallel real‐time processing framework based on MASK RCNN and transfer learning: An application for smart agriculture by Rehman, Zia ur, Khan, Muhammad Attique, Ahmed, Fawad, Damaševičius, Robertas, Naqvi, Syed Rameez, Nisar, Wasif, Javed, Kashif

“… Here a parallel framework for real‐time apple leaf disease identification and classification is proposed…”
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Fastpitch: Parallel Text-to-Speech with Pitch Prediction by Lancucki, Adrian

“…We present FastPitch, a fully-parallel text-to-speech model based on FastSpeech, conditioned on fundamental frequency contours…”
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Dynamic and multi-objective reconfiguration of distribution network using a novel hybrid algorithm with parallel processing capability by Jafari, Amirreza, Ganjeh Ganjehlou, Hamed, Baghal Darbandi, Farzad, Mohammadi-Ivatloo, Behnam, Abapour, Mehdi

“…The configuration of the networks leads to significant effect on the power quality factors like power loss, voltage profile, reliability, and networks…”
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In-Memory Big Data Management and Processing: A Survey by Zhang, Hao, Chen, Gang, Ooi, Beng Chin, Tan, Kian-Lee, Zhang, Meihui

“…Growing main memory capacity has fueled the development of in-memory big data management and processing…”
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A smart multi-objective differential evolution algorithm for energy-efficient scheduling in parallel batch processing machines by Chen, Yarong, Su, Hansen, Rauf, Mudassar, Zhao, Xue, Wang, Chen

“… for achieving carbon neutrality. This study leverages soft computing to investigate the parallel batch processing machine scheduling problem (PBPMSP…”
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A GAN Guided Parallel CNN and Transformer Network for EEG Denoising by Yin, Jin, Liu, Aiping, Li, Chang, Qian, Ruobing, Chen, Xun

“… To address these issues, we propose a GAN guided parallel CNN and transformer network, named GCTNet…”
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Taskflow: A Lightweight Parallel and Heterogeneous Task Graph Computing System by Huang, Tsung-Wei, Lin, Dian-Lun, Lin, Chun-Xun, Lin, Yibo

“…Taskflow aims to streamline the building of parallel and heterogeneous applications using a lightweight task graph-based approach…”
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RAAGR2-Net: A brain tumor segmentation network using parallel processing of multiple spatial frames by Rehman, Mobeen Ur, Ryu, Jihyoung, Nizami, Imran Fareed, Chong, Kil To

“…Brain tumors are one of the most fatal cancers. Magnetic Resonance Imaging (MRI) is a non-invasive method that provides multi-modal images containing important…”
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An Efficient and Scalable Semiconductor Architecture for Parallel Automata Processing by Dlugosch, Paul, Brown, Dave, Glendenning, Paul, Leventhal, Michael, Noyes, Harold

“…We present the design and development of the automata processor, a massively parallel non-von Neumann semiconductor architecture that is purpose-built for automata processing…”
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A Robust Parallel Object Tracking Method for Illumination Variations by Liu, Shuai, Liu, Gaocheng, Zhou, Huiyu

“…Illumination variation often occurs in visual tracking, which has a severe impact on the system performance. Many trackers based on Discriminative correlation…”
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Parallel Trajectory-to-Location Join by Shang, Shuo, Chen, Lisi, Zheng, Kai, Jensen, Christian S., Wei, Zhewei, Kalnis, Panos

“… effectively when computing the join, and how to perform the computation in parallel. Specifically, we define new metrics to measure…”
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Unrelated parallel batch processing machine scheduling with time requirements and two-dimensional packing constraints by Hu, Kanxin, Che, Yuxin, Ng, Tsan Sheng, Deng, Jie

“…) packing constraints continues to rise, there is an urgent need to address the integrated scheduling of batch processing machines (BPMs) and 2D packing…”
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SP-PoR: Improve blockchain performance by semi-parallel processing transactions by Wang, Kaiyu, Feng, Guangsheng, Ji, Zhenzhou, Tu, Zhiying, He, Shufan

“… with the transaction relation, we propose a semi-parallel transaction processing protocol called the “Semi-Parallel Proof-of-Relevance” (SP-PoR…”
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