Monte-Carlo arithmetic is a form of self-validating arithmetic that accounts for the effect of rounding errors. We have implemented a floating point unit that can perform either IEEE 754 or Monte-Carlo floating point computation, allowing hardware accelerated validation of results during execution. Experiments show that our approach has a modest hardware overhead and allows the propagation of rounding error to be accurately estimated.
Digital Microfluidic Biochip(DMFB) allows traditional laboratory procedures to be conducted autonomously on a small chip. On a DMFB, the number of control pins is a limiting factor on maximum chip size and a major factor affecting the manufacturing cost. We have developed a methodology that reduces pin count in cross-referencing DMFB. Our algorithm simultaneously optimizing routing and control pin assignment. Experiments show that the proposed scheme can reduce pincount by 23% to 32% with minimal effect on routing time.
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