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| - | FoRTReSS is a System Level framework for the design space exploration of heterogeneous multi / many-core platforms with reconfigurable hardware acceleration focusing on very high energy efficiency. | + | |
| + | FoRTReSS is a system level framework for the design space exploration of heterogeneous multi / many-core CPUs with reconfigurable hardware acceleration focusing on very high energy efficiency. | ||
| The methodology provides the following features: | The methodology provides the following features: | ||
| - | * High energy efficiency improvement (up to 20x) | + | * High energy efficiency improvement (x20) |
| * Multi-application specification and deployment on heterogeneous multi / many-core supporting hardware acceleration with or without Dynamic Partial Reconfiguration (DPR) | * Multi-application specification and deployment on heterogeneous multi / many-core supporting hardware acceleration with or without Dynamic Partial Reconfiguration (DPR) | ||
| * Search for optimal FPGA region partitioning and set of cores | * Search for optimal FPGA region partitioning and set of cores | ||
| - | * Exploration of application deployments with fully implementable real-time / energy efficient heterogeneous solutions and advanced Energy Aware schedulers (possibly with DVFS, blanking, etc.) | + | * Exploration of application deployments with fully implementable real-time / energy efficient heterogeneous solutions and advanced energy-aware scheduling |
| - | * Definition of custom Low Power schedulers with middleware integration solution for Linux based systems | + | * Definition of custom low power schedulers (possibly with DVFS, blanking, etc.) with a middleware integration solution for Linux based systems |
| * Power profiles and energy estimation based on practical CPU, FPGA and DPR models | * Power profiles and energy estimation based on practical CPU, FPGA and DPR models | ||
| * Detailed energy efficiency and mapping / scheduling analysis of Hw / Sw tasks | * Detailed energy efficiency and mapping / scheduling analysis of Hw / Sw tasks | ||
| + | * Underlying methodology presentation at {{ :fetch2020.pdf |}} | ||
| + | |||
| - | //Updated 2018/05/31 22:09// | + | //Updated 2021/12/28 16:30// |
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