Accelerated rescaling of single Monte Carlo simulation runs with the Graphics Processing Unit (GPU)
نویسندگان
چکیده
منابع مشابه
Accelerated rescaling of single Monte Carlo simulation runs with the Graphics Processing Unit (GPU).
To interpret fiber-based and camera-based measurements of remitted light from biological tissues, researchers typically use analytical models, such as the diffusion approximation to light transport theory, or stochastic models, such as Monte Carlo modeling. To achieve rapid (ideally real-time) measurement of tissue optical properties, especially in clinical situations, there is a critical need ...
متن کاملParallel Monte Carlo simulation in the canonical ensemble on the graphics processing unit
Parallel Monte Carlo simulation in the canonical ensemble on the graphics processing unit Eyad Hailat, Vincent Russo, Kamel Rushaidat, Jason Mick, Loren Schwiebert & Jeffrey Potoff To cite this article: Eyad Hailat, Vincent Russo, Kamel Rushaidat, Jason Mick, Loren Schwiebert & Jeffrey Potoff (2014) Parallel Monte Carlo simulation in the canonical ensemble on the graphics processing unit, Inter...
متن کاملBloch Solver Simulation Realization on a Graphics-processing Unit (gpu)
Matrix size LS [s] VS [s] CUDA Solver [s] LS vs. CUDA VS vs. CUDA 16x3408 85.68 1.20 0.10 870.70 12.20 32x3472 348.92 2.36 0.41 851.02 5.76 64x360
متن کاملAccelerated GPU based SPECT Monte Carlo simulations.
Monte Carlo (MC) modelling is widely used in the field of single photon emission computed tomography (SPECT) as it is a reliable technique to simulate very high quality scans. This technique provides very accurate modelling of the radiation transport and particle interactions in a heterogeneous medium. Various MC codes exist for nuclear medicine imaging simulations. Recently, new strategies exp...
متن کاملPricing derivatives on graphics processing units using Monte Carlo simulation
This paper is about using the existing Monte Carlo approach for pricing European and American contracts on a state-of-the-art graphics processing unit (GPU) architecture. First, we adapt on a cluster of GPUs two different suitable paradigms of parallelizing random number generators, which were developed for CPU clusters. Because in financial applications, we request results within seconds of si...
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: Biomedical Optics Express
سال: 2013
ISSN: 2156-7085,2156-7085
DOI: 10.1364/boe.4.002667