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CAMP: A technique to estimate per-structure power at run-time using a few simple parameters

Michael D. Powell, Arijit Biswas, Joel S. Emer, Shubhendu S. Mukherjee, Basit R. Sheikh, Shrirang Yardi
2009 2009 IEEE 15th International Symposium on High Performance Computer Architecture  
Because the computations utilize few inputs, CAMP is simple enough to implement in hardware, providing run-time structure and core power estimates for dynamic power management.  ...  Designers must employ aggressive power-management techniques at run-time to keep a processor's ballooning power requirements under control.  ...  Because the computations utilize few inputs, CAMP is simple enough to implement in hardware, providing run-time structure and core power estimates for dynamic power management.  ... 
doi:10.1109/hpca.2009.4798264 dblp:conf/hpca/PowellBEMSY09 fatcat:lg2mblijhngizjpqw4yau5uyse

A Base Camp for Scaling AI [article]

C.J.C. Burges, T. Hart, Z. Yang, S. Cucerzan, R.W. White, A. Pastusiak, J. Lewis
2016 arXiv   pre-print
can take us, and try to control the limitations of SML methods by applying them only where needed.  ...  For the intent detection task, we use a dataset of a thousand labeled utterances from user dialogs with Cortana, and we show that our approach matches state of the art SML methods, but in addition provides  ...  We thank John Platt for his vision in supporting big-bet, long-term research at MSR, which freed us to (repeatedly) fail.  ... 
arXiv:1612.07896v1 fatcat:7yvyzaanbngjdi66dxpwaw4poq

Roman Marching Camps In Britain: Gis, Statistical Analysis And Hydrological Examination Of Known Marching Camps, Resulting In The Prediction Of Possible Camp Sites

Steve Kaye
2013 Zenodo  
A study of known Roman marching camps throughout Britain and the use of the resulting data to predict the locations of unknown marching camp locations.  ...  Marching camp data are integrated into a study of hydrology, thereby refining the predictive method.  ...  Acknowledgement: I thank Nici Lilley for bravely editing my quasi-Victorian grammar and word-structure.  ... 
doi:10.5281/zenodo.839026 fatcat:zchzyt5rojay7bxgit6cv7moai

Dendritic geometry shapes neuronal cAMP signalling to the nucleus

Lu Li, Nicolas Gervasi, Jean-Antoine Girault
2015 Nature Communications  
We combine diffusion-reaction modelling and live imaging to investigate cAMP-activated DARPP-32 signalling to the nucleus.  ...  Neurons have complex dendritic trees, receiving numerous inputs at various distances from the cell body. Yet the rules of molecular signal propagation from dendrites to nuclei are unknown.  ...  Two firstorder chemical reactions were used to model PKA translocations with parameters estimated by an approach similar to the one used for DARPP-32 and were validated with the published data 65 .  ... 
doi:10.1038/ncomms7319 pmid:25692798 pmcid:PMC4346624 fatcat:sz6hpxslwzbiphqsbiqtktbhou

SMOOTH

Aarti Munjal, Tracy Camp, William C. Navidi
2011 Proceedings of the 14th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems - MSWiM '11  
In addition to being realistic, a mobility model should be easy to understand and use.  ...  ., SMOOTH is based on several known features of human movement) and is simple to use (e.g., SMOOTH does not have any complex input parameters). We first present SMOOTH.  ...  ACKNOWLEDGMENT We thank Stuart Kurkowski for allowing us to use his code for calculating the metrics. This work supported in part by NSF Grant CNS-0848130.  ... 
doi:10.1145/2068897.2068957 dblp:conf/mswim/MunjalCN11 fatcat:uypyxjgvkjgczkflmjdszakqhq

CMacIonize 2.0: a novel task-based approach to Monte Carlo radiation transfer [article]

Bert Vandenbroucke, Peter Camps
2020 arXiv   pre-print
(Context) Monte Carlo radiative transfer (MCRT) is a widely used technique to model the interaction between radiation and a medium, and plays an important role in astrophysical modelling and when comparing  ...  (Results) Using the implementation of the new algorithm in the photoionization MCRT code CMacIonize 2.0, we show that the decomposition of the MCRT grid into small parts leads to a significant performance  ...  Acknowledgements BV acknowledges partial support by STFC grant ST/M001296/1, and currently receives funding from the Belgian Science Policy Office (BELSPO) through the PRODEX project "SPICA-SKIRT: A far-infrared  ... 
arXiv:2006.15147v1 fatcat:kxro2yzthjcxdesshyoksbzgpa

GRAVITATIONAL WAVE ASTRONOMY

Jordan B. Camp, Neil J. Cornish
2004 Annual Review of Nuclear and Particle Science  
impossible to observe with electromagnetic radiation.  ...  PACS Codes 95.30.SF, 95.55 .YM ■ Abstract The existence of gravitational radiation is a direct prediction of Einstein's theory of general relativity, published in 1916.  ...  ACKNOWLEDGMENTS We thank our many colleagues who have participated with us in this exciting enterprise, too numerous to mention individually.  ... 
doi:10.1146/annurev.nucl.54.070103.181251 fatcat:gqrz7dsyonhjhpdbje54dzw3pa

Learning Structures in Earth Observation Data with Gaussian Processes [chapter]

Fernando Mateo, Jordi Muñoz-Marí, Valero Laparra, Jochem Verrelst, Gustau Camps-Valls
2016 Lecture Notes in Computer Science  
All these developments are illustrated in the field of geoscience and remote sensing at a local and global scales through a set of illustrative examples.  ...  models in space and time.  ...  Acknowledgments The authors wish to deeply acknowledge the collaboration, comments and fruitful discussions with many researchers during the last decade on GP models for remote sens-  ... 
doi:10.1007/978-3-319-44412-3_6 fatcat:uzciapr7azcyzox3grycjwehku

Unsupervised change detection in the feature space using kernels

Michele Volpi, Devis Tuia, Gustavo Camps-Valls, Mikhail Kanevski
2011 2011 IEEE International Geoscience and Remote Sensing Symposium  
The resulting difference kernel, that is a combination of kernels computed on the coregistered and radiometrically matched input images, is used to train a nonlinear partitioning algorithm.  ...  In order to apply the kernel k-means, issues related to the initialization and to the tuning of parameters (e.g. the Gaussian RBF bandwidth) are considered.  ...  Kernel parameters estimation To estimate the kernel parameters, we propose a simple solution reducing the problem to the estimation of two parameters shared by each group of information (σ single and σ  ... 
doi:10.1109/igarss.2011.6048909 dblp:conf/igarss/VolpiTCK11 fatcat:nhmaoeg6gfhnjffwrbsqp7fagu

AI and ML – Enablers for Beyond 5G Networks

Alexandros Kaloxylos, Anastasius Gavras, Daniel Camps Mur, Mir Ghoraishi, Halid Hrasnica
2020 Zenodo  
They are typically used to model complex relationships between input and output parameters of a system or to find patterns in data.  ...  Reinforcement learning is concerned about how intelligent agents must take actions in order to maximize a collective reward, e.g. to improve a property of the system.  ...  making at run time rather than using pre-defined static policies.  ... 
doi:10.5281/zenodo.4299895 fatcat:ngzbopfm6bb43lnrmep6nz5icm

Drinking Water Security Challenges in Rohingya Refugee Camps of Cox's Bazar, Bangladesh

Mehereen Akhter, Sayed Mohammad Nazim Uddin, Nazifa Rafa, Sanjida Marium Hridi, Chad Staddon, Wayne Powell
2020 Sustainability  
The outcomes will also provide useful information and strategic direction to the global scientific and development communities who are working in refugee camps in other parts of the world, to tackle water  ...  quality at the source with that in storage.  ...  Asif Arafat), RRRC officers in Camp 2 (E&W), and Camp 4 Ext., and Rohingya volunteers who supported us in every aspect of our data collections. Moreover, we thank former Chief Engineer Mr.  ... 
doi:10.3390/su12187325 fatcat:qdvjd57gizclre7uecfvyfcnhi

GNSS-R Altimetry Performance Analysis for the GEROS Experiment on Board the International Space Station

Adriano Camps, Hyuk Park, Ivan Sekulic, Juan Rius
2017 Sensors  
If the transmitted power is 3 dB higher (likely to happen at beginning of life of the GNSS spacecrafts), mission requirements (rms error is <50 cm) are met for all ISS heights and for U 10 up to 15 m/s  ...  However, around 1.5 GHz, the ionosphere can induce significant fading, from 2 to >20 dB at equatorial regions, mainly after sunset, which will seriously degrade the altimetry and the scatterometry performances  ...  Acknowledgments: This work has been performed during the ESA GEROS-ISS Phase A study led by Astrium Defence and Space (Spain). It has also been sponsored by projects ref.  ... 
doi:10.3390/s17071583 pmid:28684724 pmcid:PMC5539822 fatcat:3tfvi2q5jrdldfjomtuijcfwe4

Hyperspectral Remote Sensing Data Analysis and Future Challenges

Jose M. Bioucas-Dias, Antonio Plaza, Gustavo Camps-Valls, Paul Scheunders, Nasser Nasrabadi, Jocelyn Chanussot
2013 IEEE Geoscience and Remote Sensing Magazine  
These characteristics enable a myriad of applications requiring fine identification of materials or estimation of physical parameters.  ...  , physical parameter retrieval, and fast computing.  ...  A terrestrial campaign is thus necessary at the same time the satellite overpasses the study area to measure the surface parameter.  ... 
doi:10.1109/mgrs.2013.2244672 fatcat:4tk7q6izd5hevhnrck36i5wkiy

CMacIonize2.0: a novel task-based approach to Monte Carlo radiation transfer

B. Vandenbroucke, P. Camps
2020 Astronomy and Astrophysics  
Monte Carlo radiative transfer (MCRT) is a widely used technique to model the interaction between radiation and a medium.  ...  Using the implementation of the new algorithm in the photoionization MCRT code CMacIonize 2.0, we show that the decomposition of the MCRT grid into small parts leads to a significant performance gain during  ...  During development use was made of the DiRAC Data Intensive service at Leicester, operated by the University of Leicester IT Services, which forms part of the STFC DiRAC HPC Facility (www.dirac. ac.uk)  ... 
doi:10.1051/0004-6361/202038364 fatcat:yupyyv752vf4dauinohlemfuwu

A Risk Based Approach to Limit the Effects of Covert Channels for Internet Sensor Data Aggregators for Sensor Privacy [chapter]

Camilo H. Viecco, L. Jean Camp
2009 IFIP Advances in Information and Communication Technology  
However, an organization that participates in a sensor network risks providing a covert channel to attackers if that organization's sensor can be identified.  ...  Effective defense against Internet threats requires data on global real time network status. Internet sensor networks provide such real time network data.  ...  This parameter is used to estimate the cost for an attacker. The running time of an algorithm describes a bound on the number of operations needed to complete the algorithm.  ... 
doi:10.1007/978-3-642-02056-8_15 fatcat:qdz5lijjmzgffm3v2waztzptei
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