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168
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DCC
2009
IEEE
16 years 7 months ago
An Adaptive Sub-sampling Method for In-memory Compression of Scientific Data
A current challenge in scientific computing is how to curb the growth of simulation datasets without losing valuable information. While wavelet based methods are popular, they req...
Didem Unat, Theodore Hromadka III, Scott B. Baden
202
Voted
CCGRID
2007
IEEE
16 years 1 months ago
Design and Implementation of a Middleware for Data Storage in Opportunistic Grids
Shared machines in opportunistic grids typically have large quantities of unused disk space. These resources could be used to store application and checkpointing data when the mac...
Raphael Y. de Camargo, Fabio Kon
218
Voted
ACSC
2005
IEEE
16 years 27 days ago
Integer Programming Models and Algorithms for Molecular Classification of Cancer from Microarray Data
Novel, high-throughput technologies are challenging the core of algorithmic methods available in Computer Science. Microarray technologies give Life Sciences researchers the oppor...
Regina Berretta, Alexandre Mendes, Pablo Moscato
ICCSA
2005
Springer
16 years 24 days ago
Quasi-interpolants Based Multilevel B-Spline Surface Reconstruction from Scattered Data
Abstract. This paper presents a new fast and local method of 3D surface reconstruction for scattered data. The algorithm makes use of quasiinterpolants to compute the control point...
Byung-Gook Lee, Joon-Jae Lee, Ki-Ryoung Kwon
163
Voted
SCOPES
2004
Springer
16 years 19 days ago
DSP Code Generation with Optimized Data Word-Length Selection
Digital signal processing applications are implemented in embedded systems with fixed-point arithmetic to minimize the cost and the power consumption. To reduce the application ti...
Daniel Menard, Olivier Sentieys