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» Compositional Memory Systems for Data Intensive Applications
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116
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MOBICOM
2004
ACM
15 years 6 months ago
Using code collection to support large applications on mobile devices
The progress of mobile device technology unfolds a new spectrum of applications that challenges conventional infrastructure models. Most of these devices are perceived by their us...
Lucian Popa 0002, Irina Athanasiu, Costin Raiciu, ...
132
Voted
CASES
2005
ACM
15 years 2 months ago
MTSS: multi task stack sharing for embedded systems
Out-of-memory errors are a serious source of unreliability in most embedded systems [22]. Applications run out of main memory because of the frequent difficulty of estimating the ...
Bhuvan Middha, Matthew Simpson, Rajeev Barua
100
Voted
DATE
2009
IEEE
135views Hardware» more  DATE 2009»
15 years 7 months ago
System-level hardware-based protection of memories against soft-errors
We present a hardware-based approach to improve the resilience of a computer system against the errors occurred in the main memory with the help of error detecting and correcting ...
Valentin Gherman, Samuel Evain, Mickael Cartron, N...
86
Voted
MSS
2000
IEEE
96views Hardware» more  MSS 2000»
15 years 5 months ago
APRIL: A Run-Time Library for Tape-Resident Data
Over the last decade, processors have made enormous gains in speed. But increase in the speed of the secondary and tertiary storage devices could not cope with these gains. The re...
Gokhan Memik, Mahmut T. Kandemir, Alok N. Choudhar...
EDBTW
2006
Springer
15 years 4 months ago
A Data and Query Model for Streaming Geospatial Image Data
Abstract. Most of the recent work on adaptive processing and continuous querying of data streams assume that data objects come in the form of tuples, thus relying on the relational...
Michael Gertz, Quinn Hart, Carlos Rueda, Shefali S...