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ITNG
2007
IEEE
16 years 24 days ago
FPGA-based Vector Processing for Matrix Operations
A programmable vector processor and its implementation with a field-programmable gate array (FPGA) are presented. This processor is composed of a vector core and a tightly couple...
Hongyan Yang, Sotirios G. Ziavras, Jie Hu
ICIP
2005
IEEE
16 years 3 days ago
3D reconstruction of localized objects from radiographs and based on multiresolution and sparsity
We address the reconstruction of a 3D image from a set of incomplete X-ray tomographic data. In the case where the image is composed of one or several objects lying in a uniform b...
Charles Soussen, Jérôme Idier
EUROPAR
2004
Springer
15 years 12 months ago
Task-Queue Based Hybrid Parallelism: A Case Study
Abstract. In this paper we report on our experiences with hybrid parallelism in PARDISO, a high-performance sparse linear solver. We start with the OpenMP-parallel numerical factor...
Karl Fürlinger, Olaf Schenk, Michael Hagemann
STOC
2000
ACM
112views Algorithms» more  STOC 2000»
15 years 11 months ago
A random graph model for massive graphs
We propose a random graph model which is a special case of sparse random graphs with given degree sequences. This model involves only a small number of parameters, called logsize ...
William Aiello, Fan R. K. Chung, Linyuan Lu
NIPS
2007
15 years 8 months ago
Predictive Matrix-Variate t Models
It is becoming increasingly important to learn from a partially-observed random matrix and predict its missing elements. We assume that the entire matrix is a single sample drawn ...
Shenghuo Zhu, Kai Yu, Yihong Gong