Results 41 to 50 of about 1,898,051 (355)
The Role of the Supercomputer in the Modern World of Innovative Technologies
Кібернетика та комп'ютерні технологіїWhat is a supercomputer and why is it needed? What place does it occupy among computing equipment? Thanks to this article, we will determine the evolution and role of the supercomputer in the modern world and in the life of an average citizen.
Nataliia Kravchenko +3 more
doaj +1 more source
Geometric Computing for Freeform Architecture [PDF]
Journal of Mathematics in Industry, 2011 Geometric computing has recently found a new field of applications, namely the various geometric problems which lie at the heart of rationalization and construction-aware design processes of freeform architecture. We report on our work in this area, dealing with meshes with planar faces and meshes which allow multilayer constructions (which is related ...
Helmut Pottmann +3 more
openaire +4 more sources
Service Oriented Paradigm for Massive Multiplayer Online Games [PDF]
International Journal of Soft Computing and Software Engineering
[JSCSE], Vol. 2, No. 5, pp. 35-47, 2012, 2014 In recent times Massive Multiplayer Online Game has appeared as a computer game that enables hundreds of players from all parts of the world to interact in a game world (common platform) at the same time instance. Current architecture used for MMOGs based on the classic tightly coupled distributed system.
arxiv +1 more source
Comparative Analysis of Digital Contact-Tracing Technologies for Informing Public Health Policies
Engineering Proceedings, 2023 Contact tracing is the cornerstone of epidemic control of infectious diseases, especially in the era of COVID-19. This labor-intensive task calls for the use of digital technology to help identify individuals who have potentially been exposed to the ...
Tsz Ho Kwan
doaj +1 more source
The Tribes of Machine Learning and the Realm of Computer Architecture [PDF]
arXiv, 2020 Machine learning techniques have influenced the field of computer architecture like many other fields. This paper studies how the fundamental machine learning techniques can be applied towards computer architecture problems. We also provide a detailed survey of computer architecture research that employs different machine learning methods.
arxiv
Efficient Search of Multiple Neural Architectures with Different Complexities via Importance Sampling [PDF]
arXiv, 2022 Neural architecture search (NAS) aims to automate architecture design processes and improve the performance of deep neural networks. Platform-aware NAS methods consider both performance and complexity and can find well-performing architectures with low computational resources. Although ordinary NAS methods result in tremendous computational costs owing
arxiv
Fault tolerant hypercube computer system architecture [PDF]
, 1989 A fault-tolerant multiprocessor computer system of the hypercube type comprising a hierarchy of computers of like kind which can be functionally substituted for one another as necessary is disclosed.
Chow, Edward, Madan, Herb S.
core +1 more source
Insights into PI3K/AKT signaling in B cell development and chronic lymphocytic leukemia
FEBS Letters, EarlyView.This Review explores how the phosphoinositide 3‐kinase and protein kinase B pathway shapes B cell development and drives chronic lymphocytic leukemia, a common blood cancer. It examines how signaling levels affect disease progression, addresses treatment challenges, and introduces novel experimental strategies to improve therapies and patient outcomes.
Maike Buchner
wiley +1 more source
Energy-Efficient Shared Cache Using Way Prediction Based on Way Access Dominance Detection
IEEE Access, 2021 To meet the performance demands of chip multiprocessors, chip designers have increased the capacity and hierarchy of cache memories. Accordingly, a shared lower-level cache reduces conflict misses by adopting a multi-way set-associative structure with ...
Yun-Seok Oh, Eui-Young Chung
doaj +1 more source
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? [PDF]
arXiv, 2020 Existing Neural Architecture Search (NAS) methods either encode neural architectures using discrete encodings that do not scale well, or adopt supervised learning-based methods to jointly learn architecture representations and optimize architecture search on such representations which incurs search bias.
arxiv