Fernando Akira Endo

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The processing applications that are now being used in mobile and embedded platforms require at the same time a fair amount of processing power and a high level of flexibility, due to the nature of the data to process. In this context we propose a lightweight code generation technique that is able to perform data dependent optimizations at run-time for(More)
—Heterogeneous multicore systems have gained momentum , specially for embedded applications, thanks to the performance and energy consumption trade-offs provided by in-order and out-of-order cores. Micro-architectural simulation models the behavior of pipeline structures and caches with configurable parameters. This level of abstraction is well known for(More)
Energy consumption is the major factor limiting performance in embedded systems. In addition, in the next generations of ICs, heat or energy constraints will not allow to power all transistors simultaneously. Heterogeneous multicore systems represent a possible solution to this problem: the diversity of cores provides energy and performance trade-offs. (More)
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