The Experts below are selected from a list of 199623 Experts worldwide ranked by ideXlab platform
Ozgur Dedehayir - One of the best experts on this subject based on the ideXlab platform.
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identifying and forecasting the reverse salient in video game consoles a Performance Gap ratio comparative analysis
Technological Forecasting and Social Change, 2014Co-Authors: Tugrul Daim, Liliya Hogaboam, Saku J Makinen, Jay Justice, Ozgur DedehayirAbstract:This study uses the reverse salient methodology to contrast subsystems in video game consoles in order to discover, characterize, and forecast the most significant technology Gap. We build on the current methodologies (Performance Gap and Time Gap) for measuring the magnitude of Reverse Salience, by showing the effectiveness of Performance Gap Ratio (PGR). The three subject subsystems in this analysis are the CPU Score, GPU core frequency, and video memory bandwidth. CPU Score is a metric developed for this project, which is the product of the core frequency, number of parallel cores, and instruction size. We measure the Performance Gap of each subsystem against concurrently available PC hardware on the market. Using PGR, we normalize the evolution of these technologies for comparative analysis. The results indicate that while CPU Performance has historically been the Reverse Salient, video memory bandwidth has taken over as the quickest growing technology Gap in the current generation. Finally, we create a technology forecasting model that shows how much the video RAM bandwidth Gap will grow through 2019 should the current trend continue. This analysis can assist console developers in assigning resources to the next generation of platforms, which will ultimately result in longer hardware life cycles.
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DYNAMICS OF REVERSE SALIENCE AS TECHNOLOGICAL Performance Gap: AN EMPIRICAL STUDY OF THE PERSONAL COMPUTER TECHNOLOGY SYSTEM
Journal of technology management & innovation, 2008Co-Authors: Ozgur Dedehayir, Saku J MakinenAbstract:The evolution of technological systems is hindered by systemic components, referred to as reverse salients, which fail to deliver the necessary level of technological Performance thereby inhibiting the Performance delivery of the system as a whole. This paper develops a Performance Gap measure of reverse salience and applies this measurement in the study of the PC (personal computer) technological system, focusing on the evolutions of firstly the CPU (central processing unit) and PC game sub-systems, and secondly the GPU (graphics processing unit) and PC game sub-systems. The measurement of the temporal behavior of reverse salience indicates that the PC game sub-system is the reverse salient, continuously trailing behind the technological Performance of the CPU and GPU sub-systems from 1996 through 2006. The technological Performance of the PC game sub-system as a reverse salient trails that of the CPU sub-system by up to 2300 MHz with a gradually decreasing Performance disparity in recent years. In contrast, the dynamics of the PC game sub-system as a reverse salient trails the GPU sub-system with an ever increasing Performance Gap throughout the timeframe of analysis. In addition, we further discuss the research and managerial implications of our findings.
Pietro Muratore - One of the best experts on this subject based on the ideXlab platform.
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evaluation of the Performance Gap in industrial residential tertiary near zero energy buildings
Energy and Buildings, 2017Co-Authors: Nikos Kampelis, K. Gobakis, Vagias Vagias, D. Kolokotsa, Laura Standardi, Daniela Isidori, Cristina Cristalli, Fabio Maria Montagnino, Filippo Paredes, Pietro MuratoreAbstract:Abstract Energy efficiency, advanced controls and renewable energy systems for operating industrial, residential and tertiary sector buildings designed to be Near-Zero Energy are investigated to explore the Performance Gap. The analysis involves a comparison of energy dynamic and quasi-dynamic models with data from smart monitoring systems, indoor and outdoor environment measurements, power consumption and production data. Specific issues and conclusions have been drawn as the basis for addressing the Performance Gap between energy efficiency prediction in the design phase and measurements’ evaluation in operational phase.
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Evaluation of the Performance Gap in industrial, residential & tertiary near-Zero energy buildings
Energy and Buildings, 2017Co-Authors: Nikos Kampelis, K. Gobakis, Vagias Vagias, D. Kolokotsa, Laura Standardi, Daniela Isidori, Cristina Cristalli, Fabio Maria Montagnino, Filippo Paredes, Pietro MuratoreAbstract:Abstract Energy efficiency, advanced controls and renewable energy systems for operating industrial, residential and tertiary sector buildings designed to be Near-Zero Energy are investigated to explore the Performance Gap. The analysis involves a comparison of energy dynamic and quasi-dynamic models with data from smart monitoring systems, indoor and outdoor environment measurements, power consumption and production data. Specific issues and conclusions have been drawn as the basis for addressing the Performance Gap between energy efficiency prediction in the design phase and measurements’ evaluation in operational phase.
Saku J Makinen - One of the best experts on this subject based on the ideXlab platform.
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identifying and forecasting the reverse salient in video game consoles a Performance Gap ratio comparative analysis
Technological Forecasting and Social Change, 2014Co-Authors: Tugrul Daim, Liliya Hogaboam, Saku J Makinen, Jay Justice, Ozgur DedehayirAbstract:This study uses the reverse salient methodology to contrast subsystems in video game consoles in order to discover, characterize, and forecast the most significant technology Gap. We build on the current methodologies (Performance Gap and Time Gap) for measuring the magnitude of Reverse Salience, by showing the effectiveness of Performance Gap Ratio (PGR). The three subject subsystems in this analysis are the CPU Score, GPU core frequency, and video memory bandwidth. CPU Score is a metric developed for this project, which is the product of the core frequency, number of parallel cores, and instruction size. We measure the Performance Gap of each subsystem against concurrently available PC hardware on the market. Using PGR, we normalize the evolution of these technologies for comparative analysis. The results indicate that while CPU Performance has historically been the Reverse Salient, video memory bandwidth has taken over as the quickest growing technology Gap in the current generation. Finally, we create a technology forecasting model that shows how much the video RAM bandwidth Gap will grow through 2019 should the current trend continue. This analysis can assist console developers in assigning resources to the next generation of platforms, which will ultimately result in longer hardware life cycles.
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DYNAMICS OF REVERSE SALIENCE AS TECHNOLOGICAL Performance Gap: AN EMPIRICAL STUDY OF THE PERSONAL COMPUTER TECHNOLOGY SYSTEM
Journal of technology management & innovation, 2008Co-Authors: Ozgur Dedehayir, Saku J MakinenAbstract:The evolution of technological systems is hindered by systemic components, referred to as reverse salients, which fail to deliver the necessary level of technological Performance thereby inhibiting the Performance delivery of the system as a whole. This paper develops a Performance Gap measure of reverse salience and applies this measurement in the study of the PC (personal computer) technological system, focusing on the evolutions of firstly the CPU (central processing unit) and PC game sub-systems, and secondly the GPU (graphics processing unit) and PC game sub-systems. The measurement of the temporal behavior of reverse salience indicates that the PC game sub-system is the reverse salient, continuously trailing behind the technological Performance of the CPU and GPU sub-systems from 1996 through 2006. The technological Performance of the PC game sub-system as a reverse salient trails that of the CPU sub-system by up to 2300 MHz with a gradually decreasing Performance disparity in recent years. In contrast, the dynamics of the PC game sub-system as a reverse salient trails the GPU sub-system with an ever increasing Performance Gap throughout the timeframe of analysis. In addition, we further discuss the research and managerial implications of our findings.
Liliya Hogaboam - One of the best experts on this subject based on the ideXlab platform.
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identifying and forecasting the reverse salient in video game consoles a Performance Gap ratio comparative analysis
Technological Forecasting and Social Change, 2014Co-Authors: Tugrul Daim, Liliya Hogaboam, Saku J Makinen, Jay Justice, Ozgur DedehayirAbstract:This study uses the reverse salient methodology to contrast subsystems in video game consoles in order to discover, characterize, and forecast the most significant technology Gap. We build on the current methodologies (Performance Gap and Time Gap) for measuring the magnitude of Reverse Salience, by showing the effectiveness of Performance Gap Ratio (PGR). The three subject subsystems in this analysis are the CPU Score, GPU core frequency, and video memory bandwidth. CPU Score is a metric developed for this project, which is the product of the core frequency, number of parallel cores, and instruction size. We measure the Performance Gap of each subsystem against concurrently available PC hardware on the market. Using PGR, we normalize the evolution of these technologies for comparative analysis. The results indicate that while CPU Performance has historically been the Reverse Salient, video memory bandwidth has taken over as the quickest growing technology Gap in the current generation. Finally, we create a technology forecasting model that shows how much the video RAM bandwidth Gap will grow through 2019 should the current trend continue. This analysis can assist console developers in assigning resources to the next generation of platforms, which will ultimately result in longer hardware life cycles.
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Measuring the reverse salience of CPU utilization in video game consoles: The Performance Gap Ratio as a forecasting tool
2011 Proceedings of PICMET '11: Technology Management in the Energy Smart World (PICMET), 2011Co-Authors: Liliya Hogaboam, Jay Justice, Marwan LinggaAbstract:This study applies and adds to the concepts of recent research revolving around reverse salience as a technology-forecasting methodology. A recent proposal for using Performance Gap and time Gap measurements to determine the magnitude of reverse salience are applied to the disparity between hardware utilization in video game consoles and available hardware (in the form of the x86 central processing unit). Due to the exponential evolution of the principal comparison specification, clock frequency, we propose using a Performance Gap Ratio in addition to the Performance and Time Gap measurements for more detailed characterization of the Technology Gap between the two subjects. Determining the Performance Gap Ratio equation leads to a technology-forecasting device to assist analysts in determining the optimal time to launch a future platform and the specifications that should be included based on presently available hardware.
Nikos Kampelis - One of the best experts on this subject based on the ideXlab platform.
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evaluation of the Performance Gap in industrial residential tertiary near zero energy buildings
Energy and Buildings, 2017Co-Authors: Nikos Kampelis, K. Gobakis, Vagias Vagias, D. Kolokotsa, Laura Standardi, Daniela Isidori, Cristina Cristalli, Fabio Maria Montagnino, Filippo Paredes, Pietro MuratoreAbstract:Abstract Energy efficiency, advanced controls and renewable energy systems for operating industrial, residential and tertiary sector buildings designed to be Near-Zero Energy are investigated to explore the Performance Gap. The analysis involves a comparison of energy dynamic and quasi-dynamic models with data from smart monitoring systems, indoor and outdoor environment measurements, power consumption and production data. Specific issues and conclusions have been drawn as the basis for addressing the Performance Gap between energy efficiency prediction in the design phase and measurements’ evaluation in operational phase.
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Evaluation of the Performance Gap in industrial, residential & tertiary near-Zero energy buildings
Energy and Buildings, 2017Co-Authors: Nikos Kampelis, K. Gobakis, Vagias Vagias, D. Kolokotsa, Laura Standardi, Daniela Isidori, Cristina Cristalli, Fabio Maria Montagnino, Filippo Paredes, Pietro MuratoreAbstract:Abstract Energy efficiency, advanced controls and renewable energy systems for operating industrial, residential and tertiary sector buildings designed to be Near-Zero Energy are investigated to explore the Performance Gap. The analysis involves a comparison of energy dynamic and quasi-dynamic models with data from smart monitoring systems, indoor and outdoor environment measurements, power consumption and production data. Specific issues and conclusions have been drawn as the basis for addressing the Performance Gap between energy efficiency prediction in the design phase and measurements’ evaluation in operational phase.
