Results 1 to 10 of about 6,115,000 (375)

Distributed computing for macromolecular crystallography. [PDF]

Acta Crystallogr D Struct Biol, 2018
The paper describes recent CCP4 initiatives and projects aimed at bringing software and data services which utilize distributed computational resources to users.
Krissinel E, Uski V, Lebedev A, Winn M, Ballard C.   +4 more
europepmc   +2 more sources

Distributed quantum computing: A survey

Comput. Networks, 2022
Marcello Caleffi, Michele Amoretti, Davide Ferrari, Jessica Illiano, Antonio Manzalini, Angela Sara Cacciapuoti   +5 more
openalex   +2 more sources

Distributed Computing With the Cloud [PDF]

Distributed Computing, 2021
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, Giladi, Gal, Patt-Shamir, Boaz   +2 more
openaire   +3 more sources

Reliable Distributed Computing for Metaverse: A Hierarchical Game-Theoretic Approach [PDF]

IEEE Transactions on Vehicular Technology, 2021
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, Jiawen Kang, Dusist Niyato, Xiaohu Ge, Zehui Xiong, Chunyan Miao, X. Shen   +6 more
semanticscholar   +1 more source

Edge Learning for B5G Networks With Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing [PDF]

IEEE Journal on Selected Topics in Signal Processing, 2022
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, Zhaohui Yang, Derrick Wing Kwan Ng, M. Levorato, Y. Eldar, M. Debbah   +5 more
semanticscholar   +1 more source

DDS: integrating data analytics transformations in task-based workflows [version 2; peer review: 1 approved, 2 approved with reservations]

Open Research Europe, 2023
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, Javier Alvarez, Jorge Ejarque, Nihad Mammadli   +3 more
doaj   +1 more source

DDS: integrating data analytics transformations in task-based workflows [version 1; peer review: 1 approved, 2 approved with reservations]

Open Research Europe, 2022
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, Javier Alvarez, Jorge Ejarque, Nihad Mammadli   +3 more
doaj   +1 more source

Fundamental Research Challenges for Distributed Computing Continuum Systems

Inf., 2023
This article discusses four fundamental topics for future Distributed Computing Continuum Systems: their representation, model, lifelong learning, and business model.
Victor Casamayor Pujol, Andrea Morichetta, Ilir Murturi, Praveen Kumar Donta, S. Dustdar   +4 more
semanticscholar   +1 more source

Improving Structured Grid-Based Sparse Matrix-Vector Multiplication and Gauss–Seidel Iteration on GPDSP

Applied Sciences, 2023
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, Jie Liu, Xiaoxiong Zhu, Qingyang Zhang, Shengguo Li, Qinglin Wang   +5 more
doaj   +1 more source

Distributed Computing Continuum Systems

IEEE International Conference on Services Computing, 2022
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