Continued device scaling into the nanometer region has given rise to new effects that previously had negligible impact but now present greater challenges to designing successful mixed-signal silicon. Design efforts are further exacebated by unprecedented computational resource requirements for accurate design simulation and verification. This paper presents a GPGPU accelerated sparse linear solver for fast simulation of on-chip coupled problems using nVIDIA and ATI GPGPU accelerators on a multi-core computational cluster and evaluate parallelization strategies from a computational perspective.
Overview Continuous integration (CI) is a development practice which allows testing, building and checking the quality of the application in automated way without manual developer intervention. It requires developers to integrate code into a shared repository several times a day or every commit/merge to the given branch of the repository. Each check-in is then verified by an automated build, allowing teams to detect problems early. While PHP Continuous Integration (PHPCI) does not require the the code compilation as build” one can understand the set of task like testing and quality checks which are performed in timely manner or when the certain conditions are met. PHPCI can be performed on Jenkins Server. The detailed description of jenkins server configuration in is presented here. PHPCI requires PHing package which can be provided into application by Composer.
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