Exact(9)
The system can be reconfigured during the computation to fully utilize the computing power of the networked hosts.
In order to address the growing demand for performance, we are designing a distributed operating system (DOS) that can utilize the computing potential of a number of systems.
In this paper, we propose two extensions of both right-looking (LU and QR) and left-looking (Cholesky) one-sided factorization algorithms to utilize the computing power of current heterogeneous architectures.
The objective of this paper is to design new mechanisms that utilize the computing resources in switches to scale up the SDN control plane without sacrificing the advantages of SDN.
As the most time-dominant step of the diagonalization can be expressed as a list of dense matrix operations, the DMRG is an appealing candidate to fully utilize the computing power residing in novel kilo-processor architectures.
For this purpose, we propose the controller-proxy method, in which the SDN control plane can dynamically delegate a part of the event-processing logic to switches and utilize the computing resources in switches instead of handling OpenFlow events in the controllers.
Similar(51)
Stagnating single-threaded performance of modern CPUs requires future computer scientists and engineers to write highly parallelized code in order to fully utilize the compute capabilities of current hardware architectures.
The protein sequences were extracted from IPI 3.24 according to their accession numbers and then submitted to the website (http://www.expasy.org/tools/pi_tool.html) to utilize the Compute pI/MW tool to calculate their theoretical molecular masses.
These extensions not only enable the factorization of a matrix that does not fit in the aggregated memory of the multiple GPUs at once, but also provide potential of fully utilizing the computing power of the architectures.
While learning directly from you, personal AI can utilize specialized internal and external agents that inhabit various digital environments, simultaneously utilizing the computing power in the cloud.
Resource allocation is the key technology of cloud computing, which utilizes the computing resources in the network to facilitate the execution of complicated tasks that require large-scale computation [4].
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com