Working memory can be a major source of interference in dual tasking. However, there is no consensus on whether this interference is the result of a single working memory bottleneck, or of interactions between different working memory components that together form a complete working-memory system. We report a behavioral and an fMRI dataset in which working memory requirements are manipulated du...

Performance gain for computer systems through Moore’s Law is jeopardized by the limitations of clock rate growth due to power considerations and the limitations in instruction-level parallelism improvement from processor core computer architecture experienced over the last decade. High performance computer architectures are addressing this challenge through multicore processors that combine man...

One important challenge for cognitive systems research is to develop an integrated architecture that can enable effective, natural human-robot interactions in open worlds where new concepts, entities, and actions can be introduced through natural language during task performance. In this paper, we claim that in order to allow for such open-world tasking in natural language, all components in th...

The OpenMP standard was conceived to parallelize dense array-based applications, and it has achieved much success with that. Recently, a novel tasking proposal to handle unstructured parallelism in OpenMP has been submitted to the OpenMP 3.0 Language Committee. We tested its expressiveness and flexibility, using it to parallelize a number of examples from a variety of different application area...

Commercial proposals for large constellations of satellites present a major problem in the field Space Situational Awareness (SSA). traffic management systems must produce accurate and timely predictions potential collisions operators to perform evasive maneuvers. This requires precise orbit determination solutions, but limitations on sensor resources can impair tracker performance. work presen...

This paper considers integrated target search, tasking and tracking using multiple fixed-wing UAVs in urban environments. The problem is to design autonomy for each individual UAV autonomous and distributed tasking. Control logic design based on finite state automaton (FSA) model, integrating the four modes of operations, i.e., takeoff mode, fly-to-AO (area of operation) mode, search mode and t...

This paper describes the initial development of an intelligent tasking model which has been designed to enable complex systems, human agents and software agents, to be tasked and controlled within a reactive workflow management paradigm. The task models exploits recent advances within the AI community in reactive control, scheduling and continuous execution. The Dynamic Execution Order Schedule...

Gardens is an integrated programming language and system which supports ee-cient parallel computation across workstation clusters. In particular it addresses the three goals of: high performance, adaptive parallelism and abstraction. High performance is the goal of parallel computing, and abstraction simpliies programming. Adaptive parallelism entails a program adapting during its execution to ...

The goal of the first topic was mainly to receive general feedback from the implementation teams and application programmers. These had resulted in several issues being raised. The RP only addresses issues relating to tasking; it is silent on all other aspects of the Ada language. However, some had felt that for a Ravenscar implementation to be effective, there were other restrictions that were...

Eclipse defines a heterogeneous multiprocessor architecture template for data-dependent stream processing. Intended as a scalable and flexible subsystem of forthcoming media-processing systems-on-a-chip, Eclipse combines application configuration flexibility with the efficiency of function-specific hardware, or ‘coprocessors’. The multi-tasking coprocessors concurrently execute application task...