Results 191 to 200 of about 527 (230)

EUP: Enhanced cross-species prediction of ubiquitination sites via a conditional variational autoencoder network based on ESM2. [PDF]

PLoS Comput Biol
Liu J, Luo Z, Wang R, Li X, Sun Y, Chen Z, Zhang YJ.   +6 more
europepmc   +1 more source

SQUID-COMM: a Colossal Squid-inspired distributed communication framework for real-time multi-node aquaculture monitoring networks with adaptive bioluminescent signaling and neuromorphic edge intelligence. [PDF]

Sci Rep
Salem AI, Elbaz M, Khalil HM, Loey M.
europepmc   +1 more source

Scalable, reproducible, and cost-effective processing of large-scale medical imaging datasets. [PDF]

Proc SPIE Int Soc Opt Eng
Kim ME, Ramadass K, Gao C, Kanakaraj P, Newlin NR, Rudravaram G, Schilling KG, Dewey BE, Archer D, Hohman TJ, Li Z, Bao S, Landman BA, Khairi NM.   +13 more
europepmc   +1 more source

The mRNA architecture of the translation termination site primes programmed stop codon readthrough events in <i>Drosophila</i>. [PDF]

RNA Biol
Kansara L, Wolfstetter G, Wintermayr D, Alexopoulos I, Escos A, Friedländer M, Engström Y.   +6 more
europepmc   +1 more source

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A New Docker Swarm Scheduling Strategy

2017 IEEE 7th International Symposium on Cloud and Service Computing (SC2), 2017
This paper presents our initial ideas for a new scheduling strategy integrated in the Docker Swarm scheduler. The aim of this paper is to introduce the basic concepts and the implementation details of a new scheduling strategy based on different Service Level Agreement (SLA) classes. This strategy is proposed to answer to the problems of companies that
Tarek Menouer, Christophe Cerin, Walid Saad   +2 more
exaly   +2 more sources

Distributed MPI cluster with Docker Swarm mode

2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC), 2017
MPI is a well-established technology that is used widely in high-performance computing environment. However, setting up an MPI cluster can be challenging and time-consuming. This paper tackles this challenge by using modern containerization technology, which is Docker, and container orchestration technology, which is Docker Swarm mode, to automate the ...
Nikyle Nguyen, Doina Bein
exaly   +2 more sources

MPI Parallelization of NEUROiD Models Using Docker Swarm

2020 IEEE 26th International Conference on Parallel and Distributed Systems (ICPADS), 2020
NEURON along with other systems simulators is increasingly being used to simulate neural systems where the complexity demands massive parallel implementations. NEURON's ParallelContext allows parallelizing models using MPI. However, when using NEURON models in a docker container, this parallelization does not work out-of-the-box.
Mohan Raghavan
exaly   +2 more sources

ABP Scheduler: Speeding Up Service Spread in Docker Swarm

2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017
Docker introduces swarm mode to provide native support for managing a cluster of Docker engines as a swarm. But unfortunately, the default scheduler in Docker swarm does not perform well enough when services in Docker swarm try to cope with load changes.
Haopeng Chen
exaly   +2 more sources

Docker Swarm and Kubernetes in Cloud Computing Environment

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI), 2019
Distributed computing is a technology which contributes new stack of computing placed on virtualization of assets. With the most recent pattern of building up the applications on cloud, which empower the customer to get to it in an expanding way, by this the heap climbing quickly on the servers.
Ankita Gandhi
exaly   +2 more sources