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pro vyhledávání: '"Slo"'
Serverless computing is an emerging cloud computing paradigm that can reduce costs for cloud providers and their customers. However, serverless cloud platforms have stringent performance requirements (due to the need to execute short duration functio
Externí odkaz:
http://arxiv.org/abs/2409.00550
A service-level objective (SLO) is a target performance metric of service that cloud vendors aim to ensure. Delivering optimized SLOs can enhance user satisfaction and improve the competitiveness of cloud vendors. As large language models (LLMs) are
Externí odkaz:
http://arxiv.org/abs/2408.04323
Autor:
Burke, Jamie, Engelmann, Justin, Gibbon, Samuel, Hamid, Charlene, Moukaddem, Diana, Pugh, Dan, Farrah, Tariq, Strang, Niall, Dhaun, Neeraj, MacGillivray, Tom, King, Stuart, MacCormick, Ian J. C.
Purpose: To describe OCTolyzer: an open-source toolkit for retinochoroidal analysis in optical coherence tomography (OCT) and scanning laser ophthalmoscopy (SLO) images. Method: OCTolyzer has two analysis suites, for SLO and OCT images. The former en
Externí odkaz:
http://arxiv.org/abs/2407.14128
Autor:
Goswami, Mayank
A unique sample independent 3D self calibration methodology is tested on a unique optical coherence tomography and multi-spectral scanning laser ophthalmoscope (OCT-SLO) hybrid system. Operators visual cognition is replaced by computer vision using t
Externí odkaz:
http://arxiv.org/abs/2408.02703
Autor:
Kakolyris, Andreas Kosmas, Masouros, Dimosthenis, Vavaroutsos, Petros, Xydis, Sotirios, Soudris, Dimitrios
As Large Language Models (LLMs) gain traction, their reliance on power-hungry GPUs places ever-increasing energy demands, raising environmental and monetary concerns. Inference dominates LLM workloads, presenting a critical challenge for providers: m
Externí odkaz:
http://arxiv.org/abs/2408.05235
Autor:
Gururaja Rao, Shubha1,2 (AUTHOR) s‐gururajarao@onu.edu, Lam, Alexander2 (AUTHOR), Seeley, Sarah1 (AUTHOR), Park, Jeniffer2 (AUTHOR), Aruva, Shriya2 (AUTHOR), Singh, Harpreet2 (AUTHOR) harpreet.singh@osumc.edu
Publikováno v:
Physiological Reports. Apr2024, Vol. 12 Issue 7, p1-14. 14p.
Accurate vessel segmentation in Ultra-Wide-Field Scanning Laser Ophthalmoscopy (UWF-SLO) images is crucial for diagnosing retinal diseases. Although recent techniques have shown encouraging outcomes in vessel segmentation, models trained on one medic
Externí odkaz:
http://arxiv.org/abs/2406.13645
The demand for large language model (LLM) inference is gradually dominating the artificial intelligence workloads. Therefore, there is an urgent need for cost-efficient inference serving. Existing work focuses on single-worker optimization and lacks
Externí odkaz:
http://arxiv.org/abs/2405.06856
Deep Neural Network (DNN) inference on serverless functions is gaining prominence due to its potential for substantial budget savings. Existing works on serverless DNN inference solely optimize batching requests from one application with a single Ser
Externí odkaz:
http://arxiv.org/abs/2405.05633
Cloud-edge collaborative computing paradigm is a promising solution to high-resolution video analytics systems. The key lies in reducing redundant data and managing fluctuating inference workloads effectively. Previous work has focused on extracting
Externí odkaz:
http://arxiv.org/abs/2404.09267