Pseudo-random number generators

hgpu.org » Pseudo-random number generators

OpenRAND: A Performance Portable, Reproducible Random Number Generation Library for Parallel Computations

Shihab Shahriar Khan, Bryce Palmer, Christopher Edelmaierd, Hasan Metin Aktulga

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, HPC, nVidia, nVidia A100, Package, Pseudo-random number generators, Tesla V100

November 5, 2023 by hgpu

Statistical Computing With Graphics Processing Units

Ruoyong Xu

View

Download (PDF)

Source codes

Tags: Computer science, Package, Pseudo-random number generators, R, Statistics, Thesis

March 19, 2023 by hgpu

A tool set for random number generation on GPUs in R

Ruoyong Xu, Patrick Brown, Pierre L'Ecuyer

View

Download (PDF)

Source codes

Tags: Computer science, OpenCL, Package, Pseudo-random number generators, R

January 23, 2022 by hgpu

Evaluation of Pseudo-Random Number Generation on GPU Cards

Tair Askar, Bekdaulet Shukirgaliyev, Martin Lukac, Ernazar Abdikamalov

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 1080, nVidia GeForce GTX 1080 Ti, nVidia GeForce RTX 3080, nVidia GeForce RTX 3090, Pseudo-random number generators

December 19, 2021 by hgpu

Achieving near native runtime performance and cross-platform performance portability for random number generation through SYCL interoperability

Vincent R. Pascuzzi, Mehdi Goli

View

Download (PDF)

Tags: AMD Radeon RX Vega 56, ATI, Computer science, Heterogeneous systems, nVidia, nVidia A100, performance portability, Pseudo-random number generators, SYCL

September 19, 2021 by hgpu

Vectorized algorithm for multidimensional Monte Carlo integration on modern GPU, CPU and MIC architectures

Przemyslaw Stpiczynski

View

Download (PDF)

Tags: Algorithms, Computer science, Intel Xeon Phi, Monte Carlo integration, nVidia, OpenACC, OpenMP, Pseudo-random number generators, Tesla K40

November 12, 2017 by hgpu

clRNG: A Random Number API with Multiple Streams for OpenCL

Pierre L'Ecuyer, David Munger, Nabil Kemerchou

View

Download (PDF)

Source codes

Tags: Algorithms, AMD Radeon R7 240, ATI, ATI Radeon HD 7970, Computer science, OpenCL, Pseudo-random number generators

April 7, 2015 by hgpu

Pseudorandom Numbers Generation for Monte Carlo Simulations on GPUs: OpenCL Approach

Vadim Demchik

View

Download (PDF)

Source codes

Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, Computer science, Monte Carlo simulation, nVidia, nVidia GeForce GTX 560, nVidia GeForce GTX 560 M, nVidia GeForce GTX 780, OpenCL, Package, Pseudo-random number generators, Review, Tesla K40

March 25, 2015 by hgpu

Reliable Initialization of GPU-enabled Parallel Stochastic Simulations Using Mersenne Twister for Graphics Processors

Jonathan Passerat-Palmbach, Claude Mazel, Antoine Mahul, David Hill

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, Pseudo-random number generators, Stochastic simulation

February 2, 2015 by hgpu

How to Correctly Deal With Pseudorandom Numbers in Manycore Environments – Application to GPU programming with Shoverand

Jonathan Passerat-Palmbach (ISIMA, UBP, LIMOS), David Hill (LIMOS, UBP, ISIMA)

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, nVidia, Package, Pseudo-random number generators, Stochastic simulation

December 30, 2014 by hgpu

Highly optimized simulations on single- and multi-GPU systems of 3D Ising spin glass

Matteo Lulli, Massimo Bernaschi, Giorgio Parisi

View

Download (PDF)

Tags: Condensed matter, CUDA, Disordered Systems and Neural Networks, Ising model, MPI, nVidia, nVidia GeForce GTX Titan, Pseudo-random number generators

November 5, 2014 by hgpu

Numerical Computations with GPUs

Volodymyr Kindratenko

View

Download (PDF)

Tags: Algorithms, ATI, Book, Computer science, CUDA, Differential equations, FFT, Linear Algebra, Mathematics, Numerical simulation, nVidia, OpenCL, Pseudo-random number generators, Software Engineering

August 13, 2014 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

OpenRAND: A Performance Portable, Reproducible Random Number Generation Library for Parallel Computations

Statistical Computing With Graphics Processing Units

A tool set for random number generation on GPUs in R

Evaluation of Pseudo-Random Number Generation on GPU Cards

Achieving near native runtime performance and cross-platform performance portability for random number generation through SYCL interoperability

Vectorized algorithm for multidimensional Monte Carlo integration on modern GPU, CPU and MIC architectures

clRNG: A Random Number API with Multiple Streams for OpenCL

Pseudorandom Numbers Generation for Monte Carlo Simulations on GPUs: OpenCL Approach

Reliable Initialization of GPU-enabled Parallel Stochastic Simulations Using Mersenne Twister for Graphics Processors

How to Correctly Deal With Pseudorandom Numbers in Manycore Environments – Application to GPU programming with Shoverand

Highly optimized simulations on single- and multi-GPU systems of 3D Ising spin glass

Numerical Computations with GPUs

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Most viewed papers (last 30 days)