—In the context of multiple constant multiplications (MCM) design, we propose a novel common-subexpression-elimination (CSE) algorithm that models synthesis of coefficients into ...
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
In this work we recall attention to problems that arise in a client-server setting with server-side rendering and propose a practical method for accelerated high-quality render-st...
Although computer systems penetrate all facets of society, the software running those systems may contain many errors. Producing high quality software appears to be difficult and v...
In this paper we combine two existing resource selection approaches, CORI and the decision-theoretic framework (DTF). The state-of-the-art system CORI belongs to the large group of...