Irregular Data

1999 ◽  
pp. 597-622
Author(s):  
John Kauffman ◽  
Kevin Spencer ◽  
Thearon Willis
Keyword(s):  
Irregular Data

scholarly journals Traversal Caches: A Framework for FPGA Acceleration of Pointer Data Structures

2010 ◽  
Vol 2010 ◽  
pp. 1-16 ◽  
Author(s):  
James Coole ◽  
Greg Stitt
Keyword(s):  
Data Structures ◽  
Reconfigurable Computing ◽  
Application Development ◽  
Sequential Memory ◽  
Generalized Framework ◽  
Field Programmable ◽  
Order Of Magnitude ◽  
Programmable Gate Arrays ◽  
Irregular Data ◽  
Access Patterns

Field-programmable gate arrays (FPGAs) and other reconfigurable computing (RC) devices have been widely shown to have numerous advantages including order of magnitude performance and power improvements compared to microprocessors for some applications. Unfortunately, FPGA usage has largely been limited to applications exhibiting sequential memory access patterns, thereby prohibiting acceleration of important applications with irregular patterns (e.g., pointer-based data structures). In this paper, we present a design pattern for RC application development that serializes irregular data structure traversals online into a traversal cache, which allows the corresponding data to be efficiently streamed to the FPGA. The paper presents a generalized framework that benefits applications with repeated traversals, which we show can achieve between 7x and 29x speedup over pointer-based software. For applications without strictly repeated traversals, we present application-specialized extensions that benefit applications with highly similar traversals by exploiting similarity to improve memory bandwidth and execute multiple traversals in parallel. We show that these extensions can achieve a speedup between 11x and 70x on a Virtex4 LX100 for Barnes-Hut n-body simulation.

scholarly journals A method of generative model design based on irregular data in application to heat transfer problems

2021 ◽  
Vol 1959 (1) ◽  
pp. 012012
Author(s):  
Nikolay Bykov ◽  
Alexander Hvatov ◽  
Anna Kalyuzhnaya ◽  
Alexander Boukhanovsky
Keyword(s):  
Heat Transfer ◽  
Generative Model ◽  
Model Design ◽  
Irregular Data ◽  
Transfer Problems

Generating high performance code for irregular data structures using dependent types

2021 ◽  
Author(s):  
Federico Pizzuti ◽  
Michel Steuwer ◽  
Christophe Dubach
Keyword(s):  
Data Structures ◽  
High Performance ◽  
Dependent Types ◽  
Irregular Data

scholarly journals Time Series Analysis of Land Cover Change in Dry Mountains: Insights from the Tajik Pamirs

2021 ◽  
Vol 13 (19) ◽  
pp. 3951
Author(s):  
Kim André Vanselow ◽  
Harald Zandler ◽  
Cyrus Samimi
Keyword(s):  
Remote Sensing ◽  
Time Series ◽  
Land Cover ◽  
Land Cover Change ◽  
Vegetation Index ◽  
Demographic Data ◽  
Mountainous Areas ◽  
Generalized Additive Mixed Models ◽  
Additive Mixed Models ◽  
Irregular Data

Greening and browning trends in vegetation have been observed in many regions of the world in recent decades. However, few studies focused on dry mountains. Here, we analyze trends of land cover change in the Western Pamirs, Tajikistan. We aim to gain a deeper understanding of these changes and thus improve remote sensing studies in dry mountainous areas. The study area is characterized by a complex set of attributes, making it a prime example for this purpose. We used generalized additive mixed models for the trend estimation of a 32-year Landsat time series (1988–2020) of the modified soil adjusted vegetation index, vegetation data, and environmental and socio-demographic data. With this approach, we were able to cope with the typical challenges that occur in the remote sensing analysis of dry and mountainous areas, including background noise and irregular data. We found that greening and browning trends coexist and that they vary according to the land cover class, topography, and geographical distribution. Greening was detected predominantly in agricultural and forestry areas, indicating direct anthropogenic drivers of change. At other sites, greening corresponds well with increasing temperature. Browning was frequently linked to disastrous events, which are promoted by increasing temperatures.

Fourier geoid determination with irregular data

1995 ◽  
Vol 70 (1-2) ◽  
pp. 2-12 ◽  
Author(s):  
Michael G. Sideris
Keyword(s):  
Geoid Determination ◽  
Irregular Data

For Love and Money: Of Potboilers and Precautions

PMLA ◽  
2001 ◽  
Vol 116 (2) ◽  
pp. 380-391
Author(s):  
Doris Sommer
Keyword(s):  
Seventeenth Century ◽  
Intimate Contact ◽  
Cause And Effect ◽  
Modern Subject ◽  
History Of ◽  
Laissez Faire ◽  
Irregular Data

Intercourse means commerce, they told us in school. And we giggled at the explosive word that went off in more than one direction. But the confusion is more than simply a joke of mistaken referents or of metaphoric allusions to intimate contact and interested exchange. It is a tangle of productive sex and enterprising business revealing an adjacency of practices that add up to modernity. In a metaleptic circle of cause and effect, modern desire for family and for wealth seemed to drive those practices, and they helped form the kind of modern subject who desired them. The circularity illustrates what Nietzsche said about the fiction of empirical moorings (279-80). The moorings invented themselves to produce an illusion of stability. This is what happened at the beginnings of European modernity, as Mary Poovey shows in A History of the Modern Fact: truth grounded in empirical facts turns out to be a metaleptic effect of the seventeenth-century fiction of precise accounting, a rhetorical compensation for numbers that could not add up in the precarious conditions of mercantilism. But a century later, precise and transparent accounts were no longer performances that interpreted irregular data; they required proofs of economic and civic credibility. In a broad stroke, we can say that the foundational fiction that followed from honorable entrepreneurship is the dynamic law of desire for development as the natural drive of our particular and collective lives. Laissez-faire was the slogan.

scholarly journals Kernel partial diagnostic robust potential to handle high-dimensional and irregular data space on near infrared spectral data

Heliyon ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. e03176
Author(s):  
Divo Dharma Silalahi ◽  
Habshah Midi ◽  
Jayanthi Arasan ◽  
Mohd Shafie Mustafa ◽  
Jean-Pierre Caliman
Keyword(s):  
Spectral Data ◽  
Near Infrared ◽  
High Dimensional ◽  
Data Space ◽  
Infrared Spectral ◽  
Irregular Data
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