Výsledky vyhledávání - CCS Concepts: Computing methodologies → Distributed computing methodologies*

Context-Aware Convolutional Neural Network over Distributed System in Collaborative Computing Autor Choi, Jinhang, Hakimi, Zeinab, Shin, Philip W, Sampson, Jack, Narayanan, Vijaykrishnan

“…As the computing power of end-point devices grows, there has been interest in developing distributed deep neural networks specifically for hierarchical inference deployments on multi-sensor systems…”
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BenchCloud: A Platform for Scalable Performance Benchmarking Autor Beyer, Dirk, Chien, Po-Chun, Jankola, Marek

“… This paper describes BenchCloud, a solution for elastic and scalable job distribution across hundreds of nodes, enabling large-scale experiments on distributed and heterogeneous computing environments…”
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NEPTUNE: Network- and GPU-aware Management of Serverless Functions at the Edge Autor Baresi, Luciano, Hu, Davide Yi Xian, Quattrocchi, Giovanni, Terracciano, Luca

“… Multi-access Edge Computing (MEC) has been proposed as the reference architecture for executing applications closer to users and reducing latency, but new challenges arise…”
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GPUpd: a fast and scalable multi-GPU architecture using cooperative projection and distribution Autor Kim, Youngsok, Jo, Jae-Eon, Jang, Hanhwi, Rhu, Minsoo, Kim, Hanjun, Kim, Jangwoo

“…Graphics Processing Unit (GPU) vendors have been scaling single-GPU architectures to satisfy the ever-increasing user demands for faster graphics processing…”
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CAPES: unsupervised storage performance tuning using neural network-based deep reinforcement learning Autor Li, Yan, Chang, Kenneth, Bel, Oceane, Miller, Ethan L., Long, Darrell D. E.

“…Parameter tuning is an important task of storage performance optimization. Current practice usually involves numerous tweak-benchmark cycles that are slow and…”
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