Search Results - Parallel and distributed computing devices

Dynamic threshold spiking neural P systems with weights and multiple channels by Li, Yanyan, Song, Bosheng, Liu, Yuansheng, Zeng, Xiangxiang, Huang, Shengye

“…Membrane computing represents a sophisticated branch of computational science that assimilates the characteristics of cellular membranes and harnesses mathematical principles…”
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Hands-on parallel & distributed computing with Raspberry Pi devices and clusters by Shoop, Elizabeth, Matthews, Suzanne J., Brown, Richard, Adams, Joel C.

“…Parallel and distributed computing (PDC) concepts are now required topics for accredited undergraduate computer science programs…”
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Distributed calculation method for large-pixel-number holograms by decomposition of object and hologram planes by Jackin, Boaz Jessie, Miyata, Hiroaki, Ohkawa, Takeshi, Ootsu, Kanemitsu, Yokota, Takashi, Hayasaki, Yoshio, Yatagai, Toyohiko, Baba, Takanobu

“…) calculations on parallel and distributed computing devices. The method uses the shifting property of Fourier transform to decompose calculations, thereby avoiding data dependency and communication…”
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Delay-Optimal Distributed Edge Computing in Wireless Edge Networks by Gong, Xiaowen

“…) makes use of distributed devices in edge networks to perform computing in parallel, which can substantially reduce service delays…”
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Energy-Aware, Device-to-Device Assisted Federated Learning in Edge Computing by Li, Yuchen, Liang, Weifa, Li, Jing, Cheng, Xiuzhen, Yu, Dongxiao, Zomaya, Albert Y., Guo, Song

“… To perform efficient and effective DNN model training in edge computing environments while preserving training data security and privacy of IoT devices, federated learning has been envisioned…”
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Paralfetch: Fast Application Launch on Personal Computing/Communication Devices by Ryu, Junhee, Lee, Dongeun, Shin, Kang G., Kang, Kyungtae

“…Paralfetch speeds up application launches on personal computing/communication devices, by means of: 1…”
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On the design of communication-aware fault-tolerant scheduling algorithms for precedence constrained tasks in grid computing systems with dedicated communication devices by Zheng, Qin, Veeravalli, Bharadwaj

“…Fault-tolerant scheduling is an imperative step for large-scale computational Grid systems, as often geographically distributed nodes co-operate to execute a task…”
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Robust orchestration of concurrent application workflows in mobile device clouds by Pandey, Parul, Viswanathan, Hariharasudhan, Pompili, Dario

“… To support concurrent mobile applications on the device cloud, a robust distributed computing framework, called Maestro, is proposed…”
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Research on computing task scheduling method for distributed heterogeneous parallel systems by Cao, Xianzhi, Chen, Chong, Li, Shiwei, Lv, Chang, Li, Jiali, Wang, Jian

“…With the explosive growth of terminal devices, scheduling massive parallel task streams has become a core challenge for distributed platforms…”
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An efficient conference key agreement protocol suited for resource constrained devices by Pundir, Manmohan, Kumar, Abhimanyu

“… While elliptic curve cryptography (ECC) offers efficiency and strong security, ECC-based CKA protocols often rely on expensive pairings, making them computationally impractical for deployment over the resource limited devices…”
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An intelligent hybrid method: Multi-objective optimization for MEC-enabled devices of IoE by Sadatdiynov, Kuanishbay, Cui, Laizhong, Zhang, Lei, Huang, Joshua Zhexue, Xiong, Neal N., Luo, Chengwen

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Parallel Execution of API Calls Using Local Memory of Distributed Computing Devices

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EdgeMesh: A hybrid distributed training mechanism for heterogeneous edge devices by Xu, Fei, Feng, Jianqiang, Zhang, Zhuoya, Ning, Linpeng, Jia, Yuxi

“…‐parallel distributed training mechanisms frequently fail to fully utilize the computing power of edge devices, network topology and bandwidth resources…”
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QoS provisioning of a task-scheduling algorithm for lightweight devices by Kim, Seungku

“… Thus, we present a heuristic method to predict the burst time of each task and a round-robin-based weighted scheduling algorithm providing QoS to real-time tasks for lightweight devices…”
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Asynchronous spiking neural P systems with local synchronization by Song, Tao, Pan, Linqiang, Păun, Gheorghe

“…Spiking neural P systems (SN P systems, for short) are a class of distributed parallel computing devices inspired from the way neurons communicate by means of spikes…”
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Real-time pneumonia prediction using pipelined spark and high-performance computing by Ravikumar, Aswathy, Sriraman, Harini

“…Pneumonia is a respiratory disease caused by bacteria; it affects many people, particularly in impoverished countries where pollution, unclean living…”
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Energy-efficient online resource provisioning for cloud-edge platforms via multi-armed bandits by Rey-Jouanchicot, Jordan, Lorenzo Del Castillo, Juan Angel, Zuckerman, Stephane, Belmega, E. Veronica

“… Aggregating the idle CPU cycles of several devices would allow performing on-site parallel and distributed computing, while reusing the available resources in the network…”
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A novel blockchain-based and proxy-oriented public audit scheme for low performance terminal devices by Xie, Mande, Zhao, Qiting, Hong, Haibo, Chen, Chen, Yu, Jun

“… While in practice, the terminal devices probably are mobile phones, tablets and other devices with low computing power…”
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US Patent Issued to eBay on Aug. 22 for "Parallel execution of API calls using local memory of distributed computing devices" (Chinese, American Inventors)

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On languages generated by spiking neural P systems with weights by Zeng, Xiangxiang, Xu, Lei, Liu, Xiangrong, Pan, Linqiang

“…Spiking neural P systems with weights (WSN P systems, for short) are a class of distributed parallel computing devices inspired from the way neurons communicate by means of spikes…”
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