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Distributed computing for macromolecular crystallography. [PDF]
The paper describes recent CCP4 initiatives and projects aimed at bringing software and data services which utilize distributed computational resources to users.
Krissinel E+4 more
europepmc +7 more sources
The Distributed Computing Column covers the theory of systems that are composed of a number of interacting computing elements. These include problems of communication and networking, databases, distributed shared memory, multiprocessor architectures, operating systems, verification, internet, and the web.
openalex +3 more sources
Distributed Computing With the Cloud [PDF]
Abstract We investigate the effect of omnipresent cloud storage on distributed computing. To this end, we specify a network model with links of prescribed bandwidth that connect standard processing nodes, and, in addition, passive storage nodes. Each passive node represents a cloud storage system, such as Dropbox, Google Drive etc.
Afek, Yehuda+2 more
openaire +2 more sources
Reliable Distributed Computing for Metaverse: A Hierarchical Game-Theoretic Approach [PDF]
The metaverse is regarded as a new wave of technological transformation that provides a virtual space for people to interact through digital avatars.
Yuna Jiang+6 more
semanticscholar +1 more source
Edge Learning for B5G Networks With Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing [PDF]
To process and transfer large amounts of data in emerging wireless services, it has become increasingly appealing to exploit distributed data communication and learning.
Wei Xu+5 more
semanticscholar +1 more source
High-performance data analytics (HPDA) is a current trend in e-science research that aims to integrate traditional HPC with recent data analytic frameworks.
Rosa M. Badia+3 more
doaj +1 more source
Fundamental Research Challenges for Distributed Computing Continuum Systems
This article discusses four fundamental topics for future Distributed Computing Continuum Systems: their representation, model, lifelong learning, and business model.
Victor Casamayor Pujol+4 more
semanticscholar +1 more source
High-performance data analytics (HPDA) is a current trend in e-science research that aims to integrate traditional HPC with recent data analytic frameworks.
Rosa M. Badia+3 more
doaj +1 more source
Structured grid-based sparse matrix-vector multiplication and Gauss–Seidel iterations are very important kernel functions in scientific and engineering computations, both of which are memory intensive and bandwidth-limited.
Yang Wang+5 more
doaj +1 more source
Distributed Computing Continuum Systems
In this panel contribution, I will discuss my vision on the need of developing new managing technologies to harness distributed ``computing continuum'' systems. These systems are concurrently executed in multiple computing tiers: Cloud, Fog, Edge and IoT.
S. Dustdar
semanticscholar +1 more source