high performance computing on graphics processing units: hgpu.org

Tomoyoshi Shimobaba, Jian Tong Weng, Takahiro Sakurai, Naohisa Okada, Takashi Nishitsuji, Naoki Takada, Atsushi Shiraki, Nobuyuki Masuda, Tomoyoshi Ito

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Tags: Computational Physics, CUDA, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 460, nVidia GeForce GTX 580, Optics, Physics

July 29, 2011 by hgpu

Data Assimilation using a GPU Accelerated Path Integral Monte Carlo Approach

John C. Quinn, Henry D. I. Abarbanel

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Tags: Computational Physics, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 460, Physics, Probability, Statistics

March 28, 2011 by hgpu

High Quality Elliptical Texture Filtering on GPU

Pavlos Mavridis, Georgios Papaioannou

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Tags: 3D Graphics and Realism, Filtering, GLSL, Image generation, Image processing, nVidia, nVidia GeForce GTX 460, OpenGL

March 13, 2011 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

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high performance computing on graphics processing units: hgpu.org

Register packing for cyclic reduction: a case study

Acceleration of genetic algorithms for sudoku solution on many-core processors

Automatic OpenCL Device Characterization: Guiding Optimized Kernel Design

High performance content-based matching using GPUs

Near real-time Fast Bilateral Stereo on the GPU

A novel and scalable Multigrid algorithm for many-core architectures

Computational wave optics library for C++: CWO++ library

Data Assimilation using a GPU Accelerated Path Integral Monte Carlo Approach

High Quality Elliptical Texture Filtering on GPU

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

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