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.info:eu-repo/semantics/publishedVersio
The Dynamic Random Access Memory (DRAM) is among the major points of contention in multi-core system...
On multicore processors, co-executing applications compete for shared resources, such as cache capac...
The multiframe mixed-criticality task model eliminates the pessimism in many systems where the worst...
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...
Timing analysis of safety-critical real-time embedded systems should be free of both optimistic and ...
Multicore technology has the potential for drastically increasing productivity of embedded real-time...
Systems for high performance computing are getting increasingly complex. On the one hand, the number...
In this paper, we propose an approach to calculate worst-case ex-ecution times (WCET) of tasks runni...
Applications may have unintended performance problems in spite of compiler optimizations, because of...
Memory bloat is loosely defined as an excessive memory usage by an application during its execution....
Modern processors incorporate several performance monitoring units, which can be used to count event...
Artifact for Contention-aware Application Performance Prediction for Disaggregated Memory Systems (C...
International audienceMemory interferences may introduce important slowdowns in applications running...
The Context: Hard Real-Time Systems Safety-critical applications: ¢ Avionics, automotive, train in...
The Dynamic Random Access Memory (DRAM) is among the major points of contention in multi-core system...
On multicore processors, co-executing applications compete for shared resources, such as cache capac...
The multiframe mixed-criticality task model eliminates the pessimism in many systems where the worst...
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...
Timing analysis of safety-critical real-time embedded systems should be free of both optimistic and ...
Multicore technology has the potential for drastically increasing productivity of embedded real-time...
Systems for high performance computing are getting increasingly complex. On the one hand, the number...
In this paper, we propose an approach to calculate worst-case ex-ecution times (WCET) of tasks runni...
Applications may have unintended performance problems in spite of compiler optimizations, because of...
Memory bloat is loosely defined as an excessive memory usage by an application during its execution....
Modern processors incorporate several performance monitoring units, which can be used to count event...
Artifact for Contention-aware Application Performance Prediction for Disaggregated Memory Systems (C...
International audienceMemory interferences may introduce important slowdowns in applications running...
The Context: Hard Real-Time Systems Safety-critical applications: ¢ Avionics, automotive, train in...
The Dynamic Random Access Memory (DRAM) is among the major points of contention in multi-core system...
On multicore processors, co-executing applications compete for shared resources, such as cache capac...
The multiframe mixed-criticality task model eliminates the pessimism in many systems where the worst...