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Multikernel

A multikernel operating system treats a multi-core machine as a network of independent cores, as if it were a distributed system. It does not assume… 
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Related topics

Related topics

6 relations
AmoebaBarrelfishDistributed operating systemMulti-core processor

Broader (1)

Scheduling (computing)

Papers overview

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2018
2018
Multikernel Adaptive Collaborative Representation for Hyperspectral Image Classification
To adequately represent the nonlinearities in the high-dimensional feature space for hyperspectral images (HSIs), we propose a… 
2018
2018
Multi-task multiple kernel machines for personalized pain recognition from functional near-infrared spectroscopy brain signals
Currently there is no validated objective measure of pain. Recent neuroimaging studies have explored the feasibility of using… 
2015
2015
Analysis of 18F-DMFP PET data using multikernel classification in order to assist the diagnosis of Parkinsonism
DaTSCAN is a widely used radiotracer that binds to the dopamine transporters in the striatum and allows us visualizing a possible… 
2014
2014
PIKA: A Network Service for Multikernel Operating Systems
PIKA is a network stack designed for multikernel operating systems that target potential future architectures lacking cache… 
2014
2014
Dynamic management of multikernel multithread accelerators using Dynamic Partial Reconfiguration
Ever demanding systems with restricted resources face increasingly complex applications. Additionally, changeable environments… 
2012
2012
Towards network-on-chip agreement protocols
Demands for functionality enhancements, cost reductions and power savings clearly suggest the introduction of multi- and many… 
2012
2012
Use of Heterogeneous Multicore Architectures in Reliable Multiserver Systems
While designing operating systems, we often have to make a compromise between performance and reliability. This is not a problem… 
2011
2011
Laplacian Support Vector Machines with Multi-Kernel Learning
The Laplacian support vector machine (LSVM) is a semi-supervised framework that uses manifold regularization for learning from… 
2010
2010
Size Matters: Metric Visual Search Constraints from Monocular Metadata
Metric constraints are known to be highly discriminative for many objects, but if training is limited to data captured from a… 
2008
2008
Regression Using Multikernel and Semiparametric Support Vector Algorithms
In this letter, we propose a sequential training scheme for multikernel support vector regression (SVR). Unlike the multistage… 
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