35,667 research outputs found

    Stepwise decomposition in controlpath synthesis

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    A method is presented for the synthesis of the microarchitecture of controlpaths. This method is called stepwise decomposition. It focuses primarily on controlpaths of instruction set processors, however it is also applicable for more general Finite State Machine synthesis. Many of the current controlpath synthesis algorithms are based on a fixed microarchitecture, and an optimization of that microarchitecture. This stepwise decomposition method is able to synthesize microarchitectures in a range from a single PLA to multiple PLA/ROM configurations and optionally further down to hardwired, which makes it more flexible and better suited to a wider range of controlpaths than current synthesis methods. A sequence of decomposition steps, from coarse to detailed, is performed on the design to move it to the area of the design space where all constraints on space, floorplan and delay are satisfied. The method is currently implemented in APL

    LOT: Logic Optimization with Testability - new transformations for logic synthesis

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    A new approach to optimize multilevel logic circuits is introduced. Given a multilevel circuit, the synthesis method optimizes its area while simultaneously enhancing its random pattern testability. The method is based on structural transformations at the gate level. New transformations involving EX-OR gates as well as Reed–Muller expansions have been introduced in the synthesis of multilevel circuits. This method is augmented with transformations that specifically enhance random-pattern testability while reducing the area. Testability enhancement is an integral part of our synthesis methodology. Experimental results show that the proposed methodology not only can achieve lower area than other similar tools, but that it achieves better testability compared to available testability enhancement tools such as tstfx. Specifically for ISCAS-85 benchmark circuits, it was observed that EX-OR gate-based transformations successfully contributed toward generating smaller circuits compared to other state-of-the-art logic optimization tools
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