This artifact demonstrates the performance of the proposed worst-case memory stall analysis for a memory-regulated multicore with two memory controllers. The memory stall analysis is implemented in Java along with five different stall-cognisant bandwidth-to-core and task-to-core assignment heuristics. It evaluates the performance of these heuristics in terms of schedulability via experiments with synthetic task sets capturing different system characteristics. It also quantifies the cost in terms of extra stall for letting all cores benefit from the memory space offered by both controllers on the given multicore platform
Modern processors incorporate several performance monitoring units, which can be used to count event...
Achieving high application performance depends on the combination of memory footprint, instruction m...
This artifact provides the means for reproducing the experiments presented in the paper "Modeling an...
This artifact demonstrates the performance of the proposed worst-case memory stall analysis for a me...
In multicore architectures, there is potential for contention between cores when accessing shared re...
Systems for high performance computing are getting increasingly complex. On the one hand, the number...
The multiframe mixed-criticality task model eliminates the pessimism in many systems where the worst...
Timing analysis of safety-critical real-time embedded systems should be free of both optimistic and ...
Applications may have unintended performance problems in spite of compiler optimizations, because of...
The Context: Hard Real-Time Systems Safety-critical applications: ¢ Avionics, automotive, train in...
Performance analysis is the task of monitor the behavior of a program execution. The main goal is to...
Memory bloat is loosely defined as an excessive memory usage by an application during its execution....
peer-reviewedThe shift towards multicore processing has led to a much wider population of developer...
The final publication is available at Springer via http://dx.doi.org/10.1007/s11241-016-9253-4As mul...
Artifact for Contention-aware Application Performance Prediction for Disaggregated Memory Systems (C...
Modern processors incorporate several performance monitoring units, which can be used to count event...
Achieving high application performance depends on the combination of memory footprint, instruction m...
This artifact provides the means for reproducing the experiments presented in the paper "Modeling an...
This artifact demonstrates the performance of the proposed worst-case memory stall analysis for a me...
In multicore architectures, there is potential for contention between cores when accessing shared re...
Systems for high performance computing are getting increasingly complex. On the one hand, the number...
The multiframe mixed-criticality task model eliminates the pessimism in many systems where the worst...
Timing analysis of safety-critical real-time embedded systems should be free of both optimistic and ...
Applications may have unintended performance problems in spite of compiler optimizations, because of...
The Context: Hard Real-Time Systems Safety-critical applications: ¢ Avionics, automotive, train in...
Performance analysis is the task of monitor the behavior of a program execution. The main goal is to...
Memory bloat is loosely defined as an excessive memory usage by an application during its execution....
peer-reviewedThe shift towards multicore processing has led to a much wider population of developer...
The final publication is available at Springer via http://dx.doi.org/10.1007/s11241-016-9253-4As mul...
Artifact for Contention-aware Application Performance Prediction for Disaggregated Memory Systems (C...
Modern processors incorporate several performance monitoring units, which can be used to count event...
Achieving high application performance depends on the combination of memory footprint, instruction m...
This artifact provides the means for reproducing the experiments presented in the paper "Modeling an...