The process of empirical autotuning results in the generation of many code variants which are tested, found to be suboptimal, and discarded. By retaining annotated performance profiles of each variant tested over the course of many autotuning runs of the same code across different hardware environments and different input datasets, we can apply machine learning algorithms to generate classifier...

rfid technology has great potential to improve the benefits of supply chain management. auto- manufacturing is a competitive industry that every player of it needs great operation efficiency to gain competitive advantage to survive. rfid systems are good enhancements to supply chain processes, therefore it's obvious that every industry has to pay great attention to this it solution, and in this...

The power wall has become a dominant impeding factor in the realm of exascale system design. It is therefore important to understand how to most effectively create application software in order to minimize its power usage while maintaining satisfactory levels of performance. In this work, we use existing software and hardware facilities in order to tune applications to minimize for several comb...

background and objectives: auto-induction is usually employed to achieve high cell density and overproduction of proteins with a simple and low-cost operation. the efficiency of heterologous protein expression in escherichia coli is determined by different parameters. interactions between these parameters usually complicate the identification of those that contribute more to the improvement of ...