@article {12162,
	title = {The Use of Empirical Studies in the Development of High End Computing Applications},
	year = {2009},
	month = {2009/12//},
	institution = {University of Maryland, College Park},
	abstract = {This report provides a description of the research and development activities towards learning much about the development and measurement of productivity in high performance computing environments. Many objectives were accomplished including the development of a methodology for measuring productivity in the parallel programming domain. This methodology was tested over 25 times at 8 universities across the United States and can be used to aid other researchers studying similar environments. The productivity measurement methodology incorporates both development time and performance into a single productivity number. An Experiment Manager tool for collecting data on the development of parallel programs, as well as a suite of tools to aid in the capture and analysis of such data was also developed. Lastly, several large scale development environments were studied in order to better understand the environment used to build large parallel programming applications. That work also included several surveys and interviews with many professional programmers in these environments.},
	keywords = {*COMPUTER PROGRAMMING, *EMPIRICAL STUDIES, *HPC(HIGH PERFORMANCE COMPUTING), *METHODOLOGY, *PARALLEL PROCESSING, *PARALLEL PROGRAMMING, *PRODUCTIVITY, *SOFTWARE ENGINEERING, *SOFTWARE METRICS, ADMINISTRATION AND MANAGEMENT, APMS(AUTOMATED PERFORMANCE MEASUREMENT SYSTEM), COMPUTER PROGRAMMING AND SOFTWARE, COMPUTER SYSTEMS MANAGEMENT AND STANDARDS, data acquisition, efficiency, ENVIRONMENTS, HIGH END COMPUTING, HPCBUGBASE, HUMAN FACTORS ENGINEERING \& MAN MACHINE SYSTEM, learning, measurement, MPI(MESSAGE PASSING INTERFACE), PARALLEL ORIENTATION, PE62303E, PROGRAMMERS, SE(SOFTWARE ENGINEERING), SUPERVISORS, TEST AND EVALUATION, TEST FACILITIES, EQUIPMENT AND METEORS, TIME, tools, United States, WUAFRLT810HECA},
	url = {http://stinet.dtic.mil/oai/oai?\&verb=getRecord\&metadataPrefix=html\&identifier=ADA511351},
	author = {Basili, Victor R. and Zelowitz,Marvin V}
}
@article {15014,
	title = {Parallel Algorithms for Wiring Module Pins to Frame Pads},
	year = {1988},
	month = {1988///},
	institution = {Institute for Systems Research, University of Maryland, College Park},
	abstract = {We present fast and efficient parallel algorithms for several problems related to wiring a set of pins on a module to a set of pads lying on the houndary of a chip. The one-layer model is used to perform the wiring. Our basic model of parallel processing is the CREW-PRAM model which is characterized by the presence of an unlimited number processors sharing the main memory. Concurrent reads are allowed while concurrent writes are not. All our algorithms use 0(n) processors, where n is the input length. Our algorithms have fast implementations on other parallel models such as the mesh or the hypercube.},
	keywords = {*ALGORITHMS, *PARALLEL PROCESSING, COMPUTER PROGRAMMING AND SOFTWARE, efficiency, INPUT, LAYERS, length, MEMORY DEVICES, MODELS, MODULAR CONSTRUCTION, NUMERICAL MATHEMATICS, PARALLEL ORIENTATION, PINS, WIRE},
	url = {http://stinet.dtic.mil/oai/oai?\&verb=getRecord\&metadataPrefix=html\&identifier=ADA452383},
	author = {Chang,Shing-Chong and JaJa, Joseph F.}
}
