Fine-grained program power behavior is useful in both evaluating power optimizations and observing power optimization opportunities. Detailed power simulation is time consuming and...
Software code caches are becoming ubiquitous, in dynamic optimizers, runtime tool platforms, dynamic translators, fast simulators and emulators, and dynamic compilers. Caching fre...
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
Many multithreaded programs employ concurrent data types to safely share data among threads. However, highly-concurrent algorithms for even seemingly simple data types are difficul...
Sebastian Burckhardt, Rajeev Alur, Milo M. K. Mart...
Background: The identification of statistically overrepresented sequences in the upstream regions of coregulated genes should theoretically permit the identification of potential ...
Jonathan M. Carlson, Arijit Chakravarty, Radhika S...