Current high performance computer systems use complex, large superscalar CPUs that interface to the main memory through a hierarchy of caches and interconnect systems. These CPU-c...
In this paper, we propose a new approach to model-driven development, which we call introspective model-driven development (IMDD). This approach relies heavily on some well-underst...
Hierarchical reinforcement learning has been proposed as a solution to the problem of scaling up reinforcement learning. The RLTOPs Hierarchical Reinforcement Learning System is an...
This paper discusses ontology mapping between two taxonomies of functions of artifacts for the engineering knowledge management. The mapping is of two ways and has been manually es...
1 Virtual Machine authors face a difficult choice between low performance, cheap interpreters, or specialized and costly compilers. A method able to bridge this wide gap is the exi...