The Experts below are selected from a list of 57456 Experts worldwide ranked by ideXlab platform
Naehyuck Chang - One of the best experts on this subject based on the ideXlab platform.
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Web-based Energy Exploration tool for embedded systems
IEEE Design and Test of Computers, 2004Co-Authors: Ikhwan Lee, Yongseok Choi, Young-jin Cho, Yongsoo Joo, Hyeonmin Lim, Hojun Shim, Naehyuck ChangAbstract:We describe a Web-based Energy estimation tool for embedded systems. An interesting feature of this tool is that it performs real-time cycle-accurate Energy measurements on a hardware prototype of the processor. The authors describe the various steps involved in using the tool and present case studies to illustrate its utility.
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Energy Exploration and reduction of sdram memory systems
Design Automation Conference, 2002Co-Authors: Yongsoo Joo, Yongseok Choi, Hojun Shim, Hyung Gyu Lee, Kwanho Kim, Naehyuck ChangAbstract:In this paper, we introduce a precise Energy characterization of SDRAM main memory systems and explore the amount of Energy associated with design parameters, leading to Energy reduction techniques that we are able to recommend for practical use. We build an in-house Energy simulator for SDRAM main memory systems based on cycle-accurate Energy measurement and state-machine-based characterizations which independently characterize dynamic and static Energy. We explore Energy behavior of the memory systems by changing design parameters such as processor clock, memory clock and cache configuration. Finally we propose new Energy reduction techniques for the address bus and practical mode control schemes for the SDRAM devices. We save 10.8 mJ and 12 mJ, 40.2% and 14.5% of the total Energy, for 24 M instructions of an MP3 decoder and a JPEG compressor, using a typical 32-bit, 64 MB SDRAM memory system.
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DAC - Energy Exploration and reduction of SDRAM memory systems
Proceedings of the 39th conference on Design automation - DAC '02, 2002Co-Authors: Yongsoo Joo, Yongseok Choi, Hojun Shim, Hyung Gyu Lee, Kwanho Kim, Naehyuck ChangAbstract:In this paper, we introduce a precise Energy characterization of SDRAM main memory systems and explore the amount of Energy associated with design parameters, leading to Energy reduction techniques that we are able to recommend for practical use. We build an in-house Energy simulator for SDRAM main memory systems based on cycle-accurate Energy measurement and state-machine-based characterizations which independently characterize dynamic and static Energy. We explore Energy behavior of the memory systems by changing design parameters such as processor clock, memory clock and cache configuration. Finally we propose new Energy reduction techniques for the address bus and practical mode control schemes for the SDRAM devices. We save 10.8 mJ and 12 mJ, 40.2% and 14.5% of the total Energy, for 24 M instructions of an MP3 decoder and a JPEG compressor, using a typical 32-bit, 64 MB SDRAM memory system.
Yongsoo Joo - One of the best experts on this subject based on the ideXlab platform.
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Web-based Energy Exploration tool for embedded systems
IEEE Design and Test of Computers, 2004Co-Authors: Ikhwan Lee, Yongseok Choi, Young-jin Cho, Yongsoo Joo, Hyeonmin Lim, Hojun Shim, Naehyuck ChangAbstract:We describe a Web-based Energy estimation tool for embedded systems. An interesting feature of this tool is that it performs real-time cycle-accurate Energy measurements on a hardware prototype of the processor. The authors describe the various steps involved in using the tool and present case studies to illustrate its utility.
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Energy Exploration and reduction of sdram memory systems
Design Automation Conference, 2002Co-Authors: Yongsoo Joo, Yongseok Choi, Hojun Shim, Hyung Gyu Lee, Kwanho Kim, Naehyuck ChangAbstract:In this paper, we introduce a precise Energy characterization of SDRAM main memory systems and explore the amount of Energy associated with design parameters, leading to Energy reduction techniques that we are able to recommend for practical use. We build an in-house Energy simulator for SDRAM main memory systems based on cycle-accurate Energy measurement and state-machine-based characterizations which independently characterize dynamic and static Energy. We explore Energy behavior of the memory systems by changing design parameters such as processor clock, memory clock and cache configuration. Finally we propose new Energy reduction techniques for the address bus and practical mode control schemes for the SDRAM devices. We save 10.8 mJ and 12 mJ, 40.2% and 14.5% of the total Energy, for 24 M instructions of an MP3 decoder and a JPEG compressor, using a typical 32-bit, 64 MB SDRAM memory system.
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DAC - Energy Exploration and reduction of SDRAM memory systems
Proceedings of the 39th conference on Design automation - DAC '02, 2002Co-Authors: Yongsoo Joo, Yongseok Choi, Hojun Shim, Hyung Gyu Lee, Kwanho Kim, Naehyuck ChangAbstract:In this paper, we introduce a precise Energy characterization of SDRAM main memory systems and explore the amount of Energy associated with design parameters, leading to Energy reduction techniques that we are able to recommend for practical use. We build an in-house Energy simulator for SDRAM main memory systems based on cycle-accurate Energy measurement and state-machine-based characterizations which independently characterize dynamic and static Energy. We explore Energy behavior of the memory systems by changing design parameters such as processor clock, memory clock and cache configuration. Finally we propose new Energy reduction techniques for the address bus and practical mode control schemes for the SDRAM devices. We save 10.8 mJ and 12 mJ, 40.2% and 14.5% of the total Energy, for 24 M instructions of an MP3 decoder and a JPEG compressor, using a typical 32-bit, 64 MB SDRAM memory system.
D. Delaney - One of the best experts on this subject based on the ideXlab platform.
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Ultrasonic Seismic Wave Attenuation, Petrophysical Models and Work Flows for Better Subsurface Imaging, Energy Exploration, and Tracking of Sequestrated Carbon Dioxide.
2013Co-Authors: D. DelaneyAbstract:Parameters related to seismic and ultrasonic elastic waves traveling through a porous rock material with compliant pores, cracks and isometric pores are subject to variations, which are dependent on the physical properties of the rock. The goal of this research is to understand these variations in rhyolite and carbonate samples. Understanding these materials is relevant to enhanced oil recovery, enhanced geothermal, and CO2 storage activities. Experiments simulating subsurface conditions were performed in the COREFLOW laboratory at the National Energy Technology Laboratory (NETL) of the United States Department of Energy (DOE) with varied pore-filling fluids, effective pressures (0.01 to 50 MPa), and temperatures (21° to 80° C). P, S1 and S2 ultrasonic velocities were measured using a New England Research (NER) Autolab 1500 device, allowing calculation of the lame parameters (Bulk modulus (K), Young’s modulus (E), Lame’s first parameter (λ), Shear modulus (G), Poisson’s ratio (ν), P-wave modulus (M)). Using an aluminum reference core and the ultrasonic waveform data collected, we employed the spectral ratio method to estimate the quality factor for the P seismic wave. The quality factor (Q) is a dimensionless value that represents the attenuation of a seismic wave as it travels through a rock. Carbonate samples were tested dry (atmospheric gas as pore fluid) as well as saturated with deionized water, oil, and CO2. Understanding wave attenuation and the elastic nature of iv these materials and sensitivity to physical change will be a powerful tool for better subsurface imaging, tracking sequestered CO2, and Energy Exploration. Our research indicates porosity, heterogeneities, temperature, pressure and pore filling fluids are physical controls on wave attenuation and shifts λρ-μρ space. The effects of temperature and pressure on elatic attenuation and λρ-μρ are less significatnt than porosity and rock hetergeneities. The presence of fluids causes a distinct shift in λρ which provides isight into subsurface Exploration such as AVO classifaction. Our results will prove useful in enhancing subsurface imaging, analysis and Exploration.
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Ultrasonic Seismic Wave Attenuation (Q) for Better Subsurface Imaging, Energy Exploration, and Tracking of Sequestrated Carbon Dioxide
SEG Technical Program Expanded Abstracts 2013, 2013Co-Authors: D. Delaney, Alan Mur, Dustin Crandall, William Harbert, Igor Halajiasmaa, Yee SoongAbstract:Summary Parameters related to seismic and ultrasonic elastic waves traveling through a porous rock material with compliant pores, cracks and isometric pores are subject to variations which are dependent on the physical properties of the rock such as density, porosity, permeability, frame work moduli, fluid moduli, micro structural variation, and effective pressure. Our goal is to understand these variations through experiments completed using rhyolites, coal, and carbonate samples. Understanding these lithologies are relevant to enhanced oil recovery, enhanced geothermal, and CO2 storage activities. Working in the COREFLOW laboratory at the National Energy Technology Laboratory (NETL) of the United States Department of Energy (DOE) we performed several experiments on these rock types with various different pore filling fluids, effective pressures, and temperatures. We measured P, S1 and S2 ultrasonic velocities using a New England Research (NER) Autolab 1500 device and calculated the lame parameters (Bulk modulus (K), Young’s modulus (E), Lame’s first parameter (λ), Shear modulus (G), Poisson’s ratio (ν), P-wave modulus (M)). Using an aluminum reference core and the ultrasonic waveform data collected, we employed the spectral ratio method to estimate Q. This method uses the ratio of the amplitude-frequency spectrum (obtained via fast Fourier Transform and processed using Matlab) of the rock core compared with the amplitude-frequency spectrum of the aluminum reference core to calculate the quality factor (Q). The primary focus of these calculations was P waveform attenuation. The quality factor is a dimensionless value that represents the attenuation of a seismic wave as it travels through a rock. Seismic attenuation is dependent on wave velocity, the path length or time the wave is in the rock, and of course the physical properties of the rock through which the wave travels. Effective pressures used in our experiments varied between 0.01 MPa and 50 MPa and temperatures varied between 21o C to 80o C which allowed us to more accurately represent subsurface conditions. Pore-filling fluids consisted of deionized water, oil/water mix, gas, and supercritical CO2. Carbonate samples were tested dry (atmospheric gas as pore fluid) and with deionized water, oil, and CO2. By understanding how seismic waves attenuate we can better understand what collected seismic signals traveled through. This knowledge and understanding of seismic wave attenuation could prove to be a powerful tool for better subsurface imaging, tracking of sequestrated CO2, and Energy Exploration.
Hojun Shim - One of the best experts on this subject based on the ideXlab platform.
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Web-based Energy Exploration tool for embedded systems
IEEE Design and Test of Computers, 2004Co-Authors: Ikhwan Lee, Yongseok Choi, Young-jin Cho, Yongsoo Joo, Hyeonmin Lim, Hojun Shim, Naehyuck ChangAbstract:We describe a Web-based Energy estimation tool for embedded systems. An interesting feature of this tool is that it performs real-time cycle-accurate Energy measurements on a hardware prototype of the processor. The authors describe the various steps involved in using the tool and present case studies to illustrate its utility.
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Energy Exploration and reduction of sdram memory systems
Design Automation Conference, 2002Co-Authors: Yongsoo Joo, Yongseok Choi, Hojun Shim, Hyung Gyu Lee, Kwanho Kim, Naehyuck ChangAbstract:In this paper, we introduce a precise Energy characterization of SDRAM main memory systems and explore the amount of Energy associated with design parameters, leading to Energy reduction techniques that we are able to recommend for practical use. We build an in-house Energy simulator for SDRAM main memory systems based on cycle-accurate Energy measurement and state-machine-based characterizations which independently characterize dynamic and static Energy. We explore Energy behavior of the memory systems by changing design parameters such as processor clock, memory clock and cache configuration. Finally we propose new Energy reduction techniques for the address bus and practical mode control schemes for the SDRAM devices. We save 10.8 mJ and 12 mJ, 40.2% and 14.5% of the total Energy, for 24 M instructions of an MP3 decoder and a JPEG compressor, using a typical 32-bit, 64 MB SDRAM memory system.
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DAC - Energy Exploration and reduction of SDRAM memory systems
Proceedings of the 39th conference on Design automation - DAC '02, 2002Co-Authors: Yongsoo Joo, Yongseok Choi, Hojun Shim, Hyung Gyu Lee, Kwanho Kim, Naehyuck ChangAbstract:In this paper, we introduce a precise Energy characterization of SDRAM main memory systems and explore the amount of Energy associated with design parameters, leading to Energy reduction techniques that we are able to recommend for practical use. We build an in-house Energy simulator for SDRAM main memory systems based on cycle-accurate Energy measurement and state-machine-based characterizations which independently characterize dynamic and static Energy. We explore Energy behavior of the memory systems by changing design parameters such as processor clock, memory clock and cache configuration. Finally we propose new Energy reduction techniques for the address bus and practical mode control schemes for the SDRAM devices. We save 10.8 mJ and 12 mJ, 40.2% and 14.5% of the total Energy, for 24 M instructions of an MP3 decoder and a JPEG compressor, using a typical 32-bit, 64 MB SDRAM memory system.
Yongseok Choi - One of the best experts on this subject based on the ideXlab platform.
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Web-based Energy Exploration tool for embedded systems
IEEE Design and Test of Computers, 2004Co-Authors: Ikhwan Lee, Yongseok Choi, Young-jin Cho, Yongsoo Joo, Hyeonmin Lim, Hojun Shim, Naehyuck ChangAbstract:We describe a Web-based Energy estimation tool for embedded systems. An interesting feature of this tool is that it performs real-time cycle-accurate Energy measurements on a hardware prototype of the processor. The authors describe the various steps involved in using the tool and present case studies to illustrate its utility.
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Energy Exploration and reduction of sdram memory systems
Design Automation Conference, 2002Co-Authors: Yongsoo Joo, Yongseok Choi, Hojun Shim, Hyung Gyu Lee, Kwanho Kim, Naehyuck ChangAbstract:In this paper, we introduce a precise Energy characterization of SDRAM main memory systems and explore the amount of Energy associated with design parameters, leading to Energy reduction techniques that we are able to recommend for practical use. We build an in-house Energy simulator for SDRAM main memory systems based on cycle-accurate Energy measurement and state-machine-based characterizations which independently characterize dynamic and static Energy. We explore Energy behavior of the memory systems by changing design parameters such as processor clock, memory clock and cache configuration. Finally we propose new Energy reduction techniques for the address bus and practical mode control schemes for the SDRAM devices. We save 10.8 mJ and 12 mJ, 40.2% and 14.5% of the total Energy, for 24 M instructions of an MP3 decoder and a JPEG compressor, using a typical 32-bit, 64 MB SDRAM memory system.
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DAC - Energy Exploration and reduction of SDRAM memory systems
Proceedings of the 39th conference on Design automation - DAC '02, 2002Co-Authors: Yongsoo Joo, Yongseok Choi, Hojun Shim, Hyung Gyu Lee, Kwanho Kim, Naehyuck ChangAbstract:In this paper, we introduce a precise Energy characterization of SDRAM main memory systems and explore the amount of Energy associated with design parameters, leading to Energy reduction techniques that we are able to recommend for practical use. We build an in-house Energy simulator for SDRAM main memory systems based on cycle-accurate Energy measurement and state-machine-based characterizations which independently characterize dynamic and static Energy. We explore Energy behavior of the memory systems by changing design parameters such as processor clock, memory clock and cache configuration. Finally we propose new Energy reduction techniques for the address bus and practical mode control schemes for the SDRAM devices. We save 10.8 mJ and 12 mJ, 40.2% and 14.5% of the total Energy, for 24 M instructions of an MP3 decoder and a JPEG compressor, using a typical 32-bit, 64 MB SDRAM memory system.