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» Sparse Matrix Implementation in Octave
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34
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ICASSP
2011
IEEE
14 years 1 months ago
Focuss is a convex-concave procedure
We show the powerful sparse signal recovery approach FOCUSS is a convex-concave procedure. It follows a Newton-like decent direction by retaining the positive definite component ...
Mashud Hyder, Kaushik Mahata
ISVLSI
2007
IEEE
100views VLSI» more  ISVLSI 2007»
15 years 4 months ago
Vector Processing Support for FPGA-Oriented High Performance Applications
In this paper, we propose and implement a vector processing system that includes two identical vector microprocessors embedded in two FPGA chips. Each vector microprocessor suppor...
Hongyan Yang, Shuai Wang, Sotirios G. Ziavras, Jie...
CIKM
2011
Springer
13 years 10 months ago
Factorization-based lossless compression of inverted indices
Many large-scale Web applications that require ranked top-k retrieval are implemented using inverted indices. An inverted index represents a sparse term-document matrix, where non...
George Beskales, Marcus Fontoura, Maxim Gurevich, ...
FPGA
2005
ACM
121views FPGA» more  FPGA 2005»
15 years 3 months ago
Floating-point sparse matrix-vector multiply for FPGAs
Large, high density FPGAs with high local distributed memory bandwidth surpass the peak floating-point performance of high-end, general-purpose processors. Microprocessors do not...
Michael DeLorimier, André DeHon
97
Voted
WWW
2008
ACM
15 years 10 months ago
Application of bitmap index to information retrieval
To solve this problem, we devised the HS-bitmap index, which is hierarchically comprised of compressed data of summary bits. A summary bit in an upper matrix is obtained by logical...
Kengo Fujioka, Yukio Uematsu, Makoto Onizuka