Changes in the planning and execution of movements were studied as a function of practice on a continuous motor task. Twelve subjects learned to move a pen through a cut-out square and maze patterns with their eyes closed. Maze patterns consisted of six, eight, ten, or twelve segments that were connected by intersections. Task performance was studied during six blocks. Although the mazes could ...

Multiprocessors enable parallel execution of a single large application to achieve a performance improvement. An application is split at instruction, data or task level (based on the granularity), such that the overhead of partitioning is minimal. Parallelization for multiprocessors is mostly restricted to a fixed granularity. Reconfiguration enables architectural variations to allow multiple g...

Out of order (OoO) processors use complex logic to maximize Instruction Level Parallelism (ILP). However, since the resulting dynamic instruction schedule of many applications seldom changes, it is reasonable to store and reuse the schedule instead of reconstructing it each time. To do this, we propose Yoga, a hybrid VLIW/OoO processor that dynamically stores instruction schedules generated whi...

In many application domains such as autonomous avionics, power electronics and process systems engineering there exist discretely controlled continuous processes (DCCPs) which constitute a special subclass of hybrid dynamical systems. We introduce a novel simulation-based approach for DDCPs optimization under uncertainty using Reinforcement Learning with Gaussian Process models to learn the tra...

Most hard real-time computer systems control processes that undergo several, mutually exclusive modes of operation. This paper discusses issues of handling mode changes and requirements for their application. Speci cation of mode changes, construction of static schedules for modes and transitions, and run-time execution of mode changes are presented. We propose concepts for mode changes in the ...