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» A Fast Random Sampling Algorithm for Sparsifying Matrices
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CORR
2011
Springer
199views Education» more  CORR 2011»
13 years 2 months ago
Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining
Scaling up the sparse matrix-vector multiplication kernel on modern Graphics Processing Units (GPU) has been at the heart of numerous studies in both academia and industry. In thi...
Xintian Yang, Srinivasan Parthasarathy, Ponnuswamy...
CORR
2011
Springer
175views Education» more  CORR 2011»
13 years 2 months ago
A Matrix Hyperbolic Cosine Algorithm and Applications
Wigderson and Xiao presented an efficient derandomization of the matrix Chernoff bound using the method of pessimistic estimators [WX08]. Building on their construction, we prese...
Anastasios Zouzias
CORR
2010
Springer
221views Education» more  CORR 2010»
13 years 7 months ago
Deterministic Sample Sort For GPUs
We present and evaluate GPU Bucket Sort, a parallel deterministic sample sort algorithm for many-core GPUs. Our method is considerably faster than Thrust Merge (Satish et.al., Pro...
Frank Dehne, Hamidreza Zaboli
JACM
2011
98views more  JACM 2011»
13 years 2 months ago
Randomized algorithms for estimating the trace of an implicit symmetric positive semi-definite matrix
We analyze the convergence of randomized trace estimators. Starting at 1989, several algorithms have been proposed for estimating the trace of a matrix by 1 M M i=1 zT i Azi, where...
Haim Avron, Sivan Toledo
STOC
2001
ACM
138views Algorithms» more  STOC 2001»
14 years 8 months ago
Fast computation of low rank matrix
Given a matrix A, it is often desirable to find a good approximation to A that has low rank. We introduce a simple technique for accelerating the computation of such approximation...
Dimitris Achlioptas, Frank McSherry