high performance computing on graphics processing units: hgpu.org

Julien Bert, Hector Perez-Ponce, Sebastien Jan, Ziad El Bitar, Pierre Gueth, Vesna Cuplov, Hocine Chekatt, Didier Benoit, David Sarrut, Yannick Boursier, David Brasse, Irene Buvat, Christian Morel, Dimitris Visvikis

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Tags: CUDA, Image processing, Medicine, Monte Carlo simulation, nVidia, nVidia GeForce GTX 580

January 4, 2013 by hgpu

Long Timestep Molecular Dynamics on the Graphical Processing Unit

James C. Sweet, Ronald J. Nowling, Trevor Cickovski, Christopher R. Sweet, Vijay S. Pande, Jesus A. Izaguirre

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Tags: Biology, Chemistry, CUDA, Molecular dynamics, nVidia, nVidia GeForce GTX 580, OpenCL, Package

January 4, 2013 by hgpu

Fast Poisson Solvers for Graphics Processing Units

Mirko Myllykoski, Tuomo Rossi, Jari Toivanen

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Tags: Algorithms, Mathematics, nVidia, nVidia GeForce GTX 580, OpenCL, Poisson equation

January 3, 2013 by hgpu

Hybrid Ray Tracing and Path Tracing of Bezier Surfaces Using A Mixed Hierarchy

Rohit Nigam, P. J. Narayanan

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Raytracing

December 29, 2012 by hgpu

Interactive Bi-scale Editing of Highly Glossy Materials

Kei Iwasaki, Yoshinori Dobashi, Tomoyuki Nishita

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Tags: 3D Graphics and Realism, Computer science, GLSL, nVidia, nVidia GeForce GTX 580, OpenGL, Rendering

December 20, 2012 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

Massively parallelizable list-mode reconstruction using a Monte Carlo-based elliptical Gaussian model

Video coding on multicore graphics processors (GPUs)

GPU-Based Super-union for Minkowski Sum

A Multi-GPU Programming Library for Real-Time Applications

Portable Mapping of Data Parallel Programs to OpenCL for Heterogeneous Systems

Efficient Weighted Histogramming on GPUs with CUDA

Distributed Massive Model Rendering

Hybrid GATE: A GPU/CPU implementation for imaging and therapy applications

Long Timestep Molecular Dynamics on the Graphical Processing Unit

Fast Poisson Solvers for Graphics Processing Units

Hybrid Ray Tracing and Path Tracing of Bezier Surfaces Using A Mixed Hierarchy

Interactive Bi-scale Editing of Highly Glossy Materials

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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