Parallel algorithms for singular value decomposition (SVD) have risen to prominence as an indispensable tool in high-performance numerical linear algebra. They offer significant improvements in the ...
Prof. Dr. Ulrich Rüde, Friedrich-Alexander-Universität (FAU) ...
In this video, Peter Sanders from Karlsruhe Institute of Technology presents: Parallel Algorithms Reconsidered. Parallel algorithms have been a subject of intensive algorithmic research in the 1980s.
Researchers at Los Alamos National Lab have developed new software to distribute computation more efficiently and across increasing numbers of supercomputer processors. This new decomposition approach ...
It is well known that traditional Markov chain Monte Carlo (MCMC) methods can fail to effectively explore the state space for multimodal problems. Parallel tempering is a well-established population ...
Journal of Urban and Environmental Engineering, Vol. 10, No. 1 (January to June 2016), pp. 42-49 (8 pages) Abstract: Land use planning seeks to divide land, the most valuable resource in the hands of ...
To fulfill the 2 Core Courses, take two Core Courses from two different Core Areas. CSE Core Courses are classified into six areas: Introduction to CSE, Computational Mathematics, High Performance ...
With the recent improvements in cryptanalysis, more applications have started to use Advanced Encryption Standard (AES) instead of Data Encryption Standard (DES) to protect their information and ...
The aim of Cevotec’s (Munich, Germany) CAD-CAM software Artist Studio is to support engineers when designing fiber patch placement (FPP) laminates. Recently, the company worked with the Technical ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback