@conference {19259,
	title = {Vectorization and mapping of software defined radio applications on heterogeneous multi-processor platforms},
	booktitle = {2011 IEEE Workshop on Signal Processing Systems (SiPS)},
	year = {2011},
	month = {2011},
	pages = {31 - 36},
	abstract = {A variety of multiprocessor architectures have proliferated even for off-the-shelf computing platforms. To improve performance and productivity for common heterogeneous systems, we have developed a workflow to generate efficient solutions. By starting with a formal description of an application and the mapping problem we are able to generate a range of designs that efficiently trade-of latency and throughput. In this approach, efficient utilization of SIMD cores is achieved by applying extensive block processing in conjunction with efficient mapping and scheduling. We demonstrate our approach through an integration into the GNU Radio environment for software defined radio system design.},
	keywords = {Benchmark testing, block processing, Design methodology, formal description, GNU radio environment, Graphic Processor Unit, Graphics processing unit, heterogeneous multiprocessor platform, mapping problem, Multicore processing, Multiprocessing systems, multiprocessor architecture, multiprocessor scheduling, operating systems (computers), PARALLEL PROCESSING, Processor scheduling, Schedules, SIMD core, Software Defined Radio, software defined radio system design, software radio, telecommunication computing, Throughput, vectorization, workflow},
	author = {Zaki, G.F. and Plishker,W. and Bhattacharyya, Shuvra S. and Clancy, C. and Kuykendall, J.}
}
@article {12982,
	title = {Bio-STEER: A Semantic Web workflow tool for Grid computing in the life sciences},
	journal = {Future Generation Comp Syst},
	volume = {23},
	year = {2007},
	month = {2007/03//},
	pages = {497 - 509},
	abstract = {Life science research is becoming evermore computationally intensive. Hence, from a computational resource perspective, Grid computing provides a logical approach to meeting many of the computational needs of life science research. However, there are several barriers to the widespread use of Grid computing in life sciences. In this paper, we attempt to address one particular barrier: the difficulty of using Grid computing by life scientists. Life science research often involves connecting multiple applications together to form a workflow. This process of constructing a workflow is complex. When combined with the difficulty of using Grid services, composing a meaningful workflow using Grid services can present a challenge to life scientists. Our proposed solution is a Semantic Web-enabled computing environment, called Bio-STEER. In BioSTEER, bioinformatics Grid services are mapped to Semantic Web services, described in OWL-S. We also defined an ontology in OWL to model bioinformatics applications. A graphical user interface helps to construct a scientific workflow by showing a list of services that are semantically sound: that is, the output of one service is semantically compatible with the input of the connecting service. Bio-STEER can help users take full advantaue of Grid services through a user-friendly graphical user interface (GUI), which allows them to easily construct the workflows they need. (c) 2006 Elsevier B.V. All rights reserved.},
	keywords = {client/server;, distributed, environments;, integrated, interface, management;, semantics;, services;, systems;, user, web-base, workflow},
	doi = {DOI 10.1016/j.future.2006.07.011},
	author = {Lee,S. and Wang,T. D and Hashmi,N. and Cummings, Michael P.}
}
