- the monte carlo performance benchmark test🔍
- The Monte Carlo performance benchmark test🔍
- monte carlo performance benchmark for detailed power density ...🔍
- MONTE CARLO PERFORMANCE BENCHMARK FOR DETAILED ...🔍
- Present Status and Extensions of the Monte Carlo Performance ...🔍
- Benchmarking Bodo 🔍
- Monte Carlo Simulation🔍
- A benchmark for Monte Carlo simulation in gamma|ray spectrometry🔍
the monte carlo performance benchmark test
the monte carlo performance benchmark test
The Monte Carlo performance benchmark for detailed power density calculation in a full-size reactor core is organized under the auspices of the OECD NEA ...
The Monte Carlo performance benchmark test - AIMS, specificat..|INIS
It aims at monitoring over a range of years the increase in performance, measured in terms of standard deviation and computer time, of Monte Carlo calculation.
the monte carlo performance benchmark test - Semantic Scholar
Results are discussed which show that 10 to 100 billion histories must be simulated to reach a standard deviation of a few percent in the estimated power of ...
monte carlo performance benchmark for detailed power density ...
1. Introduction. Monte Carlo codes are capable of calculating integral parameters such as the effective · 2. Specific aim of the benchmark test · 3. Benchmark ...
MONTE CARLO PERFORMANCE BENCHMARK FOR DETAILED ...
MONTE CARLO PERFORMANCE BENCHMARK FOR DETAILED POWER DENSITY CALCULATION IN A FULL SIZE REACTOR CORE Benchmark specifications Revision 1.
Present Status and Extensions of the Monte Carlo Performance ...
The NEA Monte Carlo Performance benchmark started in 2011 aiming to monitor over the years the abilities to perform a full-size Monte Carlo reactor core ...
Benchmarking Bodo (Part I): Monte Carlo Pi
Motivation. Bodo is a new scalable analytics platform that offers automatic parallelization and optimization of Python analytics code with the ...
Monte Carlo Simulation: What It Is, How It Works, History, 4 Key Steps
Key Takeaways · A Monte Carlo simulation is a model used to predict the probability of a variety of outcomes when the potential for random variables is present.
Workshop - “Monte Carlo Computational Performance Benchmark”
Additional metrics may include convergence tests of the fission source distribution, determination of dominance ratio, true variance estimation, simulations for ...
A benchmark for Monte Carlo simulation in gamma-ray spectrometry
Monte Carlo (MC) simulation is widely used in gamma-ray spectrometry, however, its implementation is not always easy and can provide erroneous results. The ...
The Monte Carlo performance benchmark test-aims, specifications ...
The Monte Carlo performance benchmark test-aims, specifications and first results. JE Hoogenboom, WR Martin, B Petrovic. RST/Reactor Physics and Nuclear ...
How to create a benchmark for testing Monte Carlo simulation against
Financial modeling: Monte Carlo simulations can be used to model and analyze the risk and uncertainty in financial markets, helping investors ...
Collection of models for reactor physics benchmarks - GitHub
Simple pin-cell model to test S(a,b) treatment in Monte Carlo codes. See INDC(USA)-107. mc-performance: The Monte Carlo Performance Benchmark originally ...
The X-ray and electron benchmarking of the Monte Carlo codes ...
MCNP-4B was also installed onto the Sun Sparc20. The benchmark tests consisted of determining the transmission of 2 MeV X-rays and 30 MeV electrons through lead ...
Monte Carlo Benchmarking - James Bornholt
It's worth reflecting on whether benchmark suites help us reach our research goals. Monte Carlo benchmarks are an extreme idea to re-emphasise ...
1 Monte Carlo Neutronics Benchmarks on Nuclear Fuel Depletion
This work compiles and analyzes the fuel depletion benchmarks and validations used to analyze the performance of MC-based fuel depletion ... To test how well.
Monte Carlo capabilities of the SCALE code system
For exam- ple, when computing fluxes in the reactor vessel of the Monte Carlo. Performance Benchmark problem (Hoogenboom et al., 2011), long times are needed ...
Monte Carlo method - Wikipedia
Monte Carlo methods, or Monte Carlo experiments, are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical ...
Quantum Monte Carlo benchmarking of large noncovalent ...
We have used diffusion Monte Carlo (DMC) to perform calculations on the L7 benchmark set. DMC is a stochastic numerical integration scheme in real-space.
The X-ray and electron benchmarking of the Monte Carlo Codes ...
The benchmark tests consisted of determining the transmission of 2 MeV X-rays and 30 MeV electrons through lead. It was found that the Dec Alpha Server 8200 was ...