General purpose GPU programming has become a topic of intensive research recently. In this context, GPUs are typically used as general-purpose stream processors. Although is usually suites most of existing algorithms, it is far from ideal for ray tracing as it generates extensive memory bandwidth. We take an alternative approach and instead implement the entire algorithm in a single pass, as in...

In theory, the successive gradients generated by the conjugate gradient method applied to a quadratic should be orthogonal. However, for some ill-conditioned problems, orthogonality is quickly lost due to rounding errors, and convergence is much slower than expected. A limited memory version of the nonlinear conjugate gradient method is developed. The memory is used to both detect the loss of o...

A new approach to automatically generating diagnostic memory tests of linear order (O(N)) is presented. The resulting March tests provide complete detection and distinguishing of all single-cell and two-cell fault models. The approach is based on state transition graph modelling, decomposition of functional memory faults into basic fault effects, and output tracing. For each of the targeted bas...

Objective: Working memory is the ability of maintaining and manipulating the required information for operating generalization in future. The aim of the present research is to investigate the effectiveness of neurofeedback therapy on the working memory in children with ADHD.  Methods: 24 children with ADHD who had the required standards to participate in the study were selected by accessible...

Effect of In order to test the memory state in patients with non-insulin dependent diabetes mellitus (NIDDM) after glycemic control, one-hundred patients referring to Isfahan Endocrine and Metabolism Research Center were simply randomized. They were compared in point of memory state with one hundred cases as the control group. The Wechsler Memory Scale test was utilized to evaluate the mem...

The goal of this paper is to advocate a control ow independent modeling of data ow in applicative algorithm speciications. The model is utilized in the synthesis of ASIC architectures for real-time signal processing applications. It allows for a generalization of control ow transformations which are used to optimize the memory organization at an early stage in the synthesis trajectory. Argument...

A preconditioned conjugate gradient method was implemented into an iteration on a program for data estimation of breeding values, and its convergence characteristics were studied. An algorithm was used as a reference in which one fixed effect was solved by Gauss-Seidel method, and other effects were solved by a second-order Jacobi method. Implementation of the preconditioned conjugate gradient ...