The technique presented here achieves simultaneous optimization of schedule time and data path component cost within a structured data path architecture, using a genetic algorithm...
We describe a new approach for creating concise high-level generative models from range images or other approximate representations of real objects. Using data from a variety of a...
Task graph scheduling has been found effective in performance prediction and optimization of parallel applications. A number of static scheduling algorithms have been proposed for...
Superscalar microprocessor efficiency is generally not as high as anticipated. In fact, sustained utilization below thirty percent of peak is not uncommon, even for fully optimized...
The performance of a concurrent multithreaded architectural model, called superthreading 15 , is studied in this paper. It tries to integrate optimizing compilation techniques and...
Jenn-Yuan Tsai, Zhenzhen Jiang, Eric Ness, Pen-Chu...