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The desire to support real-time applications on multicore platforms has led to intense recent interest in techniques for reducing memory-related hardware interference. These techniques typically rely on mechanisms that ensure per-task isolation properties with respect to cache and memory accesses. In most prior work on such techniques, any sharing of memory pages by different tasks is defined away,...
Autonomous vehicles are an exemplar for forward-looking safety-critical real-time systems where significant computing capacity must be provided within strict size, weight, and power (SWaP) limits. A promising way forward in meeting these needs is to leverage multicore platforms augmented with graphics processing units (GPUs) as accelerators. Such an approach is being strongly advocated by NVIDIA,...
Recent work involving a mixed-criticality framework called MC2 has shown that, by combining hardware-management techniques and criticality-aware task provisioning, capacity loss can be significantly reduced when supporting real-time workloads on multicore platforms. However, as in most other prior research on multicore hardware management, tasks were assumed in that work to not share data. Data sharing...
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