Sciweavers

15 search results - page 2 / 3
» Accelerating Compute-Intensive Applications with GPUs and FP...
Sort
View
ASPLOS
2009
ACM
14 years 5 months ago
QR decomposition on GPUs
QR decomposition is a computationally intensive linear algebra operation that factors a matrix A into the product of a unitary matrix Q and upper triangular matrix R. Adaptive sys...
Andrew Kerr, Dan Campbell, Mark Richards
SAMOS
2010
Springer
13 years 3 months ago
Accelerating high-level engineering computations by automatic compilation of Geometric Algebra to hardware accelerators
Abstract—Geometric Algebra (GA), a generalization of quaternions, is a very powerful form for intuitively expressing and manipulating complex geometric relationships common to en...
Jens Huthmann, Peter Muller, Florian Stock, Dietma...
FPL
2008
Springer
150views Hardware» more  FPL 2008»
13 years 6 months ago
Compiler generated systolic arrays for wavefront algorithm acceleration on FPGAs
Wavefront algorithms, such as the Smith-Waterman algorithm, are commonly used in bioinformatics for exact local and global sequence alignment. These algorithms are highly computat...
Betul Buyukkurt, Walid A. Najjar
VLSISP
2011
358views Database» more  VLSISP 2011»
12 years 11 months ago
Accelerating Machine-Learning Algorithms on FPGAs using Pattern-Based Decomposition
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
CLUSTER
2009
IEEE
13 years 11 months ago
Investigating the use of GPU-accelerated nodes for SAR image formation
The computation of an electromagnetic reflectivity image from a set of radar returns is a computationally intensive process. Therefore, the use of high performance computing is r...
Timothy D. R. Hartley, Ahmed Fasih, Charles A. Ber...