
Caio Batista de MeloUniversity of California, Irvine | UCI · Department of Computer Science
Caio Batista de Melo
Master of Science
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6
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Publications
Publications (6)
In this chapter, we explore adaptive resource management techniques for cyber-physical systems-on-chip that employ principles of computational self-awareness to varying degrees, specifically reflection. By supporting various self-X properties, systems gain the ability to reason about runtime configuration decisions by considering the significance o...
In order to provide performance increases despite the end of Moore's law and Dennard scaling, architectures aggressively exploit data-and thread-level parallelism using billions of transistors on a single chip, enabled by extreme geometry miniaturization. A resulting challenge is the control, optimization, and reliable operation of such complex mul...
In this chapter, we explore adaptive resource management techniques for cyber-physical systems-on-chip that employ principles of computational self-awareness to varying degrees, specifically reflection. By supporting various self-X properties, systems gain the ability to reason about runtime configuration decisions by considering the significance o...
The number and complexity of embedded system platforms used in mixed-criticality applications are rapidly growing. They run large and evolving applications on heterogeneous multi-or many-core processing platforms requiring dependable operation and long lifetime. Examples include automated and autonomous driving, smart buildings, industry 4.0, and p...
Concurrent systems face a threat to their reliability in emergent behaviors, which are not included in the specification but can happen during runtime. When concurrent systems are modeled in a scenario-based manner, it is possible to detect emergent behaviors as implied scenarios (ISs) which, analogously, are unexpected scenarios that can happen du...
The Information Processing Factory (IPF) project has recently introduced the abstraction of complex architectures as self-aware information processing factories. These factories consist of a set of highly configurable resources, e.g., processing elements and interconnects, whose use is monitored, planned, and configured during runtime. Managing a f...