Scaling soft matter physics to thousands of graphics processing units in parallel
نویسندگان
چکیده
منابع مشابه
Computational Physics on Graphics Processing Units
The use of graphics processing units for scientific computations is an emerging strategy that can significantly speed up various algorithms. In this review, we discuss advances made in the field of computational physics, focusing on classical molecular dynamics and quantum simulations for electronic structure calculations using the density functional theory, wave function techniques and quantum...
متن کاملParallel Genetic Programming on Graphics Processing Units
In program inference, the evaluation of how well a candidate solution solves a certain task is usually a computationally intensive procedure. Most of the time, the evaluation involves either submitting the program to a simulation process or testing its behavior on many input arguments; both situations may turn out to be very time-consuming. Things get worse when the optimization algorithm needs...
متن کاملParallel design of JPEG-LS encoder on graphics processing units
With recent technical advances in graphic processing units (GPUs), GPUs have outperformed CPUs in terms of compute capability and memory bandwidth. Many successful GPU applications to high performance computing have been reported. JPEG-LS is an ISO/IEC standard for lossless image compression which utilizes adaptive context modeling and run-length coding to improve compression ratio. However, ad...
متن کاملHighly Parallel Implementation of NeuroJet using Graphics Processing Units
This paper presents the parallel implementation of NeuroJet, a neural network simulation program, using GPUs. To help researchers study different correlation among applications, programming models, and underlying hardware architectures, NeuroJet is examined as a case study to provide insights and findings specific to GPU programming. We demonstrate the importance of programmer effort through ou...
متن کاملImplementation of Parallel Genetic Algorithms on Graphics Processing Units
In this paper, we propose to parallelize a Hybrid Genetic Algorithm (HGA) on Graphics Processing Units (GPUs) which are available and installed on ubiquitous personal computers. HGA extends the classical genetic algorithm by incorporating the Cauchy mutation operator from evolutionary programming. In our parallel HGA, all steps except the random number generation procedure are performed in GPU ...
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: The International Journal of High Performance Computing Applications
سال: 2015
ISSN: 1094-3420,1741-2846
DOI: 10.1177/1094342015576848