In designing a multiprocessor architecture, the motivating factors are that the architecture should be general purpose, easier to program and at the same time scalable. The Data Diffusion Machine (DDM) seeks to fulfil such criteria. The DDM provides shared-data access on distributed memory hardware, allowing data to freely migrate to processors on demand. The DDM concept was originally proposed...

Multi-Agent Systems (MAS) offer an architecture for distributed problem solving. Distributed Data Mining (DDM) algorithms focus on one class of such distributed problem solving tasks—analysis and modeling of distributed data. This paper offers a perspective on DDM algorithms in the context of multiagents systems. It discusses broadly the connection between DDM and MAS. It provides a high-level ...

An object modeling approach offers advantages in supporting Dimensional Data Modeling (DDM) of data warehouses and data marts. The current approach to making the basic decisions in producing a DDM is a pragmatic one. The pragmatic approach has had considerable commercial success [1], but it still makes tight coupling of strategic goals and objectives to the DDM result a matter of art, rather th...

Pharmaceutical sciences experts and regulators acknowledge that pharmaceutical development as well as drug usage requires more than scientific advancements to cope with current attrition rates/therapeutic failures. Drug disease modeling and simulation (DDM&S) creates a paradigm to enable an integrated and higher-level understanding of drugs, (diseased)systems, and their interactions (systems ph...

We report on the retrieval of directional sea surface roughness, in terms of its full directional mean square slope (including direction and isotropy), from Global Navigation Satellite System Reflections (GNSS-R) Delay-Doppler-Map (DDM) data collected during an experimental flight at 1 km altitude. This study emphasizes the utilization of the entire DDM to more precisely infer ocean roughness d...

This study presents the results from the analyses of verbal protocols elicited from inexperienced and experienced participants of a real-time, Dynamic Decision-Making (DDM) task. This research intends to complement a series of studies performed in DDM environments analyzing the cognitive structures and processes involved in learning in DDM. Results show that inexperienced and experienced partic...

Single thread performance improvement using more complex structures and higher frequencies is currently reaching its limits. As such, several architectures that target this problem through exploiting coarse grainedmultithreading have been proposed. Such an architecture is the DataDriven Multithreading Chip Multiprocessor (DDM-CMP) which is based on a dataflow-like model of execution. To fully e...

Wind speed and direction are important essential climate variables (ECVs). GNSS-R is an emerging remote sensing technique that can be potentially used to retrieve wind speed from space. However, few studies have addressed the wind direction retrieval from spaceborne GNSS-R observables, namely the Delay Doppler map (DDM). In this study, the feasibility of retrieving wind direction from the synth...

Cell Broadband Engine is a new heterogeneous multi-core chip processor designed to provide a high computational power on a single chip. The advent of multi-core chips posed a challenge for a suitable programming and execution model that exploits this new technology. This challenge is greater with Cell, because of the different properties it has compared to other multi-core systems. In this pape...