Randomized work stealing for large scale soft real-time systems

J Li, S Dinh, K Kieselbach, K Agrawal… - 2016 IEEE Real-Time …, 2016 - ieeexplore.ieee.org
Recent years have witnessed the convergence of two important trends in real-time systems:
growing computational demand of applications and the adoption of processors with more …
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[PDF] wustl.edu

[PDF][PDF] Randomized Work Stealing for Large Scale Soft Real-time Systems

J Li, S Dinh, K Kieselbach, K Agrawal, C Gill, C Lu - classes.engineering.wustl.edu
Recent years have witnessed the convergence of two important trends in real-time systems:
growing computational demand of applications and the adoption of processors with more …
Cite

Randomized Work Stealing for Large Scale Soft Real-Time Systems

J Li, S Dinh, K Kieselbach, K Agrawal… - 2016 IEEE Real-Time …, 2016 - researchwith.njit.edu
Recent years have witnessed the convergence of two important trends in real-time systems:
growing computational demand of applications and the adoption of processors with more …
Cite
[PDF] archive.org

[PDF][PDF] Randomized Work Stealing for Large Scale Soft Real-time Systems

J Li, S Dinh, K Kieselbach, K Agrawal, C Gill, C Lu - scholar.archive.org
Recent years have witnessed the convergence of two important trends in real-time systems:
growing computational demand of applications and the adoption of processors with more …
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[PDF] academia.edu

[PDF][PDF] Randomized Work Stealing for Large Scale Soft Real-time Systems

J Li, S Dinh, K Kieselbach, K Agrawal, C Gill, C Lu - academia.edu
Recent years have witnessed the convergence of two important trends in real-time systems:
growing computational demand of applications and the adoption of processors with more …
Cite
[PDF] wustl.edu

[PDF][PDF] Randomized Work Stealing for Large Scale Soft Real-time Systems

J Li, S Dinh, K Kieselbach, K Agrawal, C Gill, C Lu - cs.wustl.edu
Recent years have witnessed the convergence of two important trends in real-time systems:
growing computational demand of applications and the adoption of processors with more …
Cite
[PDF] wustl.edu

[PDF][PDF] Randomized Work Stealing for Large Scale Soft Real-time Systems

J Li, S Dinh, K Kieselbach, K Agrawal, C Gill, C Lu - cse.wustl.edu
Recent years have witnessed the convergence of two important trends in real-time systems:
growing computational demand of applications and the adoption of processors with more …
Cite
[PDF] wustl.edu

[PDF][PDF] Randomized Work Stealing for Large Scale Soft Real-time Systems

J Li, S Dinh, K Kieselbach, K Agrawal, C Gill, C Lu - cse.wustl.edu
Recent years have witnessed the convergence of two important trends in real-time systems:
growing computational demand of applications and the adoption of processors with more …
Cite