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We present a survey of the state-of-the-art techniques used in performing data and memory-related optimizations in embedded systems. The optimizations are targeted directly or indirectly at the memory subsystem, and impact one or more out of three important cost metrics: area, performance, and power dissipation of the resulting implementation. We first examine architecture-independent optimizations in the form of code transoformations. We next cover a broad spectrum of optimization techniques that address memory architectures at varying levels of granularity, ranging from register files to on-chip memory, data caches, and dynamic memory (DRAM). We end with memory addressing related issues.

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A domain specific language (DSL) enables designers to rapidly specify and implement systems for a particular domain, yielding designs that are easy to understand, reason about, re-use and maintain. However, there is usually a significant overhead in the required infrastructure to map such a DSL on to a programmable logic device. In this paper, we present a mapping of an existing DSL for the networking domain on to a platform FPGA by embedding the DSL into an existing language infrastructure. In particular, we will show that, using few basic concepts, we are able to achieve a successful mapping of the DSL on to a platform FPGA and create a re-usable structure that also makes it easy to extend the DSL. Finally we will present some results of mapping the DSL on to a platform FPGA and comment on the resulting overhead.

No abstract