Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
Process induced threshold voltage variations bring about fluctuations in circuit delay, that affect the FPGA timing yield. We propose an adaptive FPGA architecture that compensate...
Background: One of the most powerful methods for the prediction of protein structure from sequence information alone is the iterative construction of profile-type models. Because ...
— Recent advances in statistical timing analysis (SSTA) achieve great success in computing arrival times under variations by extending sum and maximum operations to random variab...
We present a novel detailed placement technique that accounts for systematic through-pitch variations to reduce leakage. Leakage depends nearly exponentially on linewidth (gate le...