Results 51 to 60 of about 133,755 (277)

Ultralow‐Power Real‐Time On‐Chip Thermal Prediction via Finite Element Method–Machine Learning Codesign and Field‐Programmable Gate Array Deployment

Advanced Intelligent Systems, EarlyView.
A lightweight machine learning (ML)‐based thermal prediction framework is demonstrated and implemented on a field‐programmable gate array (FPGA). Using measured temperature data from a real chiplet, the approach enables real‐time, die‐level heat‐map inference with low power consumption, validating practical on‐chip thermal monitoring for advanced ...
Jun Ho Lee, Jae Gyu Kim, Sung Jin Kim, Jae Yong Song, Byoung Don Kong   +4 more
wiley   +1 more source

An Efficient Racetrack Cache Architecture for Performance-Area-Energy Co-Optimization

IEEE Access
Prior RTM cache architectures, originally designed for smaller caches, become suboptimal when scaled to larger RTM Last-Level caches (LLCs), because they prioritize performance over energy and area efficiency.
Fazal Hameed
doaj   +1 more source

ControlIt: A Universal Framework for Translational, Adaptive, and Online Brain–Computer Interfaces

Advanced Intelligent Systems, EarlyView.
Brain–computer interfaces (BCIs) lack a unified platform that works across signals and algorithms. ControlIt, an open‐source, modular ROS2‐based BCI framework supporting electroencephalography (EEG), electrocorticography (ECoG), and spike‐based decoding across both classification and regression tasks is presented.
Wanlin Yang, Chenyang Li, Xinxiu Xu, Xindong Wang, Yongcheng Guo, Xiaoke Chai, Tianqin Cao, Jiuxiang Song, Nan Wang, Xueming Zhang, Yi Yang, Cong Zheng, He Cui   +12 more
wiley   +1 more source

Duality Cache for Data Parallel Acceleration

International Symposium on Computer Architecture, 2019
Duality Cache is an in-cache computation architecture that enables general purpose data parallel applications to run on caches. This paper presents a holistic approach of building Duality Cache system stack with techniques of performing in- cache ...
Daichi Fujiki, S. Mahlke, R. Das
semanticscholar   +1 more source

Individualized Treatment in Distal and Medium Vessel Occlusion Stroke Using a Validated Explainable Counterfactual Treatment Estimation Model

Annals of Neurology, EarlyView.
Objective The optimal treatment for distal medium vessel occlusion (DMVO) stroke remains uncertain, and evidence comparing endovascular therapy (EVT) with medical management (MM) is limited. We aimed to develop and validate a predictive modeling tool to assess individual treatment benefit in DMVO stroke using explainable counterfactual treatment ...
Mohamed F. Doheim, Mahmoud H. Mohammaden, Hend Abdelhamid, Marta Olive‐Gadea, Marc Rodrigo‐Gisbert, Manuel Requena, Johanna T. Fifi, James E. Siegler, Santiago Ortega‐Gutierrez, Mohamad Abdalkader, Ali Alaraj, Wei Hu, Thanh N. Nguyen, Diogo C. Haussen, Raul G. Nogueira   +14 more
wiley   +1 more source

Guide to Good Practice in using Open Source Compilers with the AGCC Lexical Analyzer [PDF]

Informatică economică, 2009
Quality software always demands a compromise between users' needs and hardware resources. To be faster means expensive devices like powerful processors and virtually unlimited amounts of RAM memory.
doaj  

Full Coded Caching Gains for Cache-less Users [PDF]

2018 IEEE Information Theory Workshop (ITW), 2018
17 pages, partially presented in ITW 2018, Accepted for publication in Transactions on Information ...
Eleftherios Lampiris, Petros Elia
openaire   +4 more sources

Under the Shade of a Coolabah Tree: A Second Cache of Tulas From the Boulia District, Western Queensland

Archaeology in Oceania, EarlyView.
ABSTRACT This paper reports on the excavation of a cache of stone artefacts, buried on the bank of a waterhole or ‘billabong’ in central western Queensland. This is an extremely rare find, and yet it is the second such site to be reported within less than a 10 km radius.
Yinika L. Perston, Lynley A. Wallis, Heather Burke, Lorna Bogdanek, Trevina Rogers, Justine Kemp   +5 more
wiley   +1 more source

An integration of autonomic computing with multicore systems for performance optimization in Industrial Internet of Things

IET Communications, EarlyView., 2022
Abstract The goal of this work is to investigate how the self‐awareness characteristic of autonomic computing, paired with existing performance optimization rules, may be used in applications to minimise multi‐core processor performance concerns. The suggested self‐awareness technique can assist applications in self‐execution while also assisting other
Surendra Kumar Shukla, Bhaskar Pant, Wattana Viriyasitavat, Devvret Verma, Sandeep Kautish, Gaurav Dhiman, Amandeep Kaur, Kannan Srihari, Sachi Nandan Mohanty   +8 more
wiley   +1 more source

RL-Cache: Learning-Based Cache Admission for Content Delivery

IEEE Journal on Selected Areas in Communications, 2019
Content delivery networks (CDNs) distribute much of the Internet content by caching and serving the objects requested by users. A major goal of a CDN is to maximize the hit rates of its caches, thereby enabling faster content downloads to the users ...
V. Kirilin, Aditya Sundarrajan, Sergey Gorinsky, R. Sitaraman   +3 more
semanticscholar   +1 more source