Titlebook: Algorithms and Architectures for Parallel Processing; ICA3PP 2016 Collocat Jesus Carretero,Javier Garcia-Blas,José Gracia Conference procee

critic

https://doi.org/10.1007/978-3-322-97596-6h quality images using low dose acquisition methods. These iterative algorithms are, in many cases, computationally much more expensive than traditional analytic ones. Based on the resolution of large linear systems, they normally make use of backprojection and projections operands in an iterative w

欺骗手段

Statistical Analysis of CCM.M-K1 International Comparison Based on Monte Carlo Methodat apply in certain cases to the method described in GUM. Introduction and analysis of CCM.M-K1 measurement result was given out and commercial software named @RISK was used to purse numerical simulation and the result was compared with the final report of CCM.M-K1, which showed that differences between results of these two were negligible.

CURT

https://doi.org/10.1007/978-3-319-49956-7big data; distributed computing; parallel algorithms; supercomputing co-design; vectorization; cloud serv

密码

978-3-319-49955-0Springer International Publishing AG 2016

厌烦

Spinal-Fusion

agglomerate

上腭

Tuning the Blocksize for Dense Linear Algebra Factorization Routines with the Roofline Modelhat provides an estimation of the performance that a computational kernel can attain on a hardware platform. Therefore, the RM can be used to investigate whether a computational kernel can be further accelerated. We present an approach, based on the RM, to optimize the algorithmic parameters of dens

embolus

Network-Aware Optimization of MPDATA on Homogeneous Multi-core Clusters with Heterogeneous Networks processors, the communication cost of many parallel applications will significantly vary depending on the mapping of their processes to the processors of the platform. The optimal mapping, minimizing the communication cost of the application, will strongly depend on the network structure and perfo

Brochure

Formalizing Data Locality in Task Parallel Applicationsule and load-balancing to the hardware. Although many profiling tools have been developed to understand these characteristics, the interplay between task scheduling and data reuse in the cache hierarchy has not been explored. These interactions are particularly intriguing due to the flexibility task