Showing items with similar title or keywords.

• A GPU-Accelerated Augmented Lagrangian Based L1-mean Curvature Image Denoising Algorithm Implementation 

  Myllykoski, Mirko; Glowinski, Roland; Kärkkäinen, Tommi; Rossi, Tuomo (Union Agency, 2015)

  This paper presents a graphics processing unit (GPU) implementation of a recently published augmented Lagrangian based L1-mean curvature image denoising algorithm. The algorithm uses a particular alternating direction ...

• Fast Poisson solvers for graphics processing units 

  Myllykoski, Mirko; Rossi, Tuomo; Toivanen, Jari (Springer, 2013)

  Two block cyclic reduction linear system solvers are considered and implemented using the OpenCL framework. The topics of interest include a simplified scalar cyclic reduction tridiagonal system solver and the impact ...

• A New Augmented Lagrangian Approach for L1-mean Curvature Image Denoising 

  Myllykoski, Mirko; Glowinski, Roland; Kärkkäinen, Tommi; Rossi, Tuomo (Society for Industrial and Applied Mathematics, 2015)

  Variational methods are commonly used to solve noise removal problems. In this paper, we present an augmented Lagrangian-based approach that uses a discrete form of the L1-norm of the mean curvature of the graph of the ...

• A parallel radix-4 block cyclic reduction algorithm 

  Myllykoski, Mirko; Rossi, Tuomo (John Wiley & Sons Ltd., 2014)

  A conventional block cyclic reduction algorithm operates by halving the size of the linear system at each reduction step, that is, the algorithm is a radix-2 method. An algorithm analogous to the block cyclic reduction ...

• DNA computing 

  Lappalainen, Panu (2019)

  Tässä kirjallisuuskatsauksessa käsitellään DNA:n mahdollisuuksia tietokonelaskennassa. DNA on erinomainen rinnakkaislaskennassa laskentanopeutensa ja energiatehokkuutensa puolesta, mutta sen hitaan valmisteluajan ja yleisen ...