Orient

Candy, suspicious conductors, and weird science make up this all-new Adventure Time original graphic novel written by Jeremy Sorese (Curveball, Steven Universe) and illustrated by Adventure Time veteran Zachary Sterling. Don’t miss out on this action-packed journey based on the award-winning show on Cartoon Network! Lady Rainicorn has come down with a case of taffy fever and there is nothing Jake can do to help her. After many failed attempts with Princess Bubblegum, Finn and Jake learn of a special cure that can help Lady Rainicorn get back to normal. The catch? They will have to travel on the Ooorient Express on an infamous train ride that no one returns from…

Aboard a luxurious train stuffed with mysterious strangers, a man in brutally slain in his bed. Yet the greatest crime in Kenneth Branagh’s Murder on the Orient Express is the one committed against cinema. This adaptation of Agatha Christie’s classic novel is positively bursting with charismatic stars, boasting not only Branagh in its lead as the eccentric detective Hercule Poirot, but also the likes of Michelle Pfeiffer, Judi Dench, Willem Dafoe, Penélope Cruz, Daisy Ridley, Josh Gad, Olivia Colman, Derek Jacobi and acclaimed Broadway stunner Leslie Odom Jr. Yet this is a lethally dull and ugly movie that possesses all the suspense of a damp hand towel. Murder on the Orient Express follows Christie’s meticulously mustachioed sleuth (Branagh) on a treacherous journey. When an avalanche derails the titular train, the posh passengers discover that one of their number has been murdered. While they await rescue, Poirot puts his brilliant mind to work on a murder mystery crowded with conf

The results show that compared with the existing incentive mechanisms, up to 20.50% of the Data center colocation Energy-saving cost can be reduced in the coarse-grained mechanism and 28.34% of the cost reduction can be achieved in the fine-grained mechanism.Approximate computing has seen significant interest as a design philosophy oriented to performance and energy efficiency . Precision tuning is an approximate computing technique that trades off the accuracy of operations for performance and energy by employing less precise data types, such as fixed point instead of floating point. However, the current state-of-the-art does not consider the possibility of optimizing mathematical functions whose computation is usually off-loaded to a library.In this work, we extend a precision-tuning framework to perform tuning of trigonometric functions as well. We developed a new mathematical function library, which is parameterizable at compile-time depending on the data type and works native

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