Results 121 to 130 of about 375,041 (317)
An Efficient Multicore Algorithm for Minimal Length Addition Chains
Computers, 2019 A minimal length addition chain for a positive integer m is a finite sequence of positive integers such that (1) the first and last elements in the sequence are 1 and m, respectively, (2) any element greater than 1 in the sequence is the addition of two ...
Hazem M. Bahig, Yasser Kotb
doaj +1 more source
Arthritis Care &Research, EarlyView.Objective This study aimed to describe real‐world trends in preconception and prenatal use of antirheumatic drugs among pregnant individuals with rheumatic diseases in Ontario, Canada. Methods We conducted a time‐series analysis using repeated cross‐sectional data to examine annual patterns of disease‐modifying antirheumatic drug (DMARD) use among ...
Shenthuraan Tharmarajah +6 more
wiley +1 more source
, 1990 In this paper we describe a unified scheme for implementing an interior point algorithm (IPM) over a range of computer architectures. In the inner iteration of the IPM a search direction is computed using Newton's method.
Levkovitz, R +7 more
core
AN IMPROVED PARALLEL ALGORITHM FOR DELAUNAY TRIANGULATION ON DISTRIBUTED MEMORY PARALLEL COMPUTERS
, 2001 Delaunay triangulation has been much used in such applications as volume rendering, shape representation, terrain modeling and so on. The main disadvantage of Delaunay triangulation is large computation time required to obtain the triangulation on an ...
Chan-Ik Park, Chan-Mo Park, Sangyoon Lee
core +1 more source
Arthritis Care &Research, EarlyView.Objective To investigate the association between rheumatoid arthritis (RA) and coronary artery calcium (CAC) prevalence, incidence, and progression over four years in adults without prior cardiovascular disease. Methods A case‐cohort study within the Brazilian Longitudinal Study of Adult Health (ELSA‐Brasil) included 585 participants (86 patients with ...
Patrícia Fonseca Estrada +7 more
wiley +1 more source
SOLUTIONS FOR OPTIMIZING THE DATA PARALLEL PREFIX SUM ALGORITHM USING THE COMPUTE UNIFIED DEVICE ARCHITECTURE [PDF]
In this paper, we analyze solutions for optimizing the data parallel prefix sum function using the Compute Unified Device Architecture (CUDA) that provides a viable solution for accelerating a broad class of applications. The parallel prefix sum function
Alexandru Pîrjan +2 more
core
The Cyclic Odd-Even Reduction Method Applied in Mathematical Finance [PDF]
Informatică economică, 2008 In this paper is presented a possibility to reduce execution time involved in evaluating a financial option by means finite difference scheme, using a cyclic odd-even reduction technique on a coarse-grained parallel model.
Dumitru FANACHE, Ion SMEUREANU
doaj
Parallel algorithms for series parallel graphs [PDF]
, 1996 In this paper, a parallel algorithm is given that, given a graph G=(V, E), decides whether G is a series parallel graph, and if so, builds a decomposition tree for G of series and parallel composition rules. The algorithm uses O(log¦E¦log*¦E¦) time and O(¦E¦) operations on an EREW PRAM, andO(log¦E¦) time and O(¦E¦) operations on a CRCW PRAM (note that ...
Hans L. Bodlaender, Babette de Fluiter
openaire +4 more sources
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Studying Parallel Evolutionary Algorithms: The cellular Programming Case [PDF]
, 1998 Parallel evolutionary algorithms, studied to some extent over the past few years, have proven empirically worthwhile—though there seems to be lacking a better understanding of their workings. In this paper we concentrate on cellular (fine-grained) models,
Tettamanzi, A. +11 more
core +1 more source