A Survey on Parallel Multicore Computing: Performance & Improvement
نویسندگان
چکیده
منابع مشابه
Enhancing Multicore System Performance Using Parallel Computing with MATLAB
A Typical Numerical Computing Problem To illustrate the two paradigms, we will use MATLAB to test a hypothesis regarding Girko’s circular law. Girko’s law states that the eigenvalues of a random N-by-N matrix whose elements are drawn from a normal distribution tend to lie inside a circle of radius sqrt(N) for large enough N. Our hypothesis is that Girko’s circular law can be modified to apply t...
متن کاملA Survey on Reproducibility in Parallel Computing
We summarize the results of a survey on reproducibility in parallel computing, which was conducted during the Euro-Par conference in August 2015. The survey form was handed out to all participants of the conference and the workshops. The questionnaire, which speciVcally targeted the parallel computing community, contained questions in four diUerent categories: general questions on reproducibili...
متن کاملPerformance monitoring for multicore embedded computing systems on FPGAs
When designing modern embedded computing systems, most software programmers choose to use multicore processors, possibly in combination with general-purpose graphics processing units (GPGPUs) and/or hardware accelerators. They also often use an embedded Linux O/S and run multi-application workloads that may even be multi-threaded. Modern FPGAs are large enough to combine multicore hard/soft pro...
متن کاملPerformance of Multicore Systems on Parallel Datamining Services
Multicore systems are of growing importance and 64128 cores can be expected in a few years. We expect datamining to be an important application class of general importance and are developing such scalable parallel algorithms for managed code (C#) on Windows. We present a performance analysis that compares MPI and a new messaging runtime library CCR (Concurrency and Coordination Runtime) with Wi...
متن کاملScientific Computing on Multicore Architectures
Tillenius, M. 2014. Scientific Computing on Multicore Architectures. Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 1139. 47 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-554-8928-1. Computer simulations are an indispensable tool for scientists to gain new insights about nature. Simulations of natural phenomena are usually large, a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Advances in Science, Technology and Engineering Systems Journal
سال: 2018
ISSN: 2415-6698
DOI: 10.25046/aj030321