high performance computing on graphics processing units: hgpu.org

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Decoupling Algorithms from Schedules for Easy Optimization of Image Processing Pipelines

Jonathan Ragan-Kelley, Andrew Adams, Sylvain Paris, Marc Levoy, Saman Amarasinghe, Fredo Durand

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Tags: Algorithms, CUDA, Filtering, Image processing, nVidia, Tesla C2070

June 8, 2012 by hgpu

Ameliorating Memory Contention of OLAP operators on GPU Processors

Evangelia A. Sitaridi, Kenneth A. Ross

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Tags: Computer science, CUDA, Databases, nVidia, Tesla C2070

June 8, 2012 by hgpu

Classical Mechanical Hard-Core Particles Simulated in a Rigid Enclosure using Multi-GPU Systems

D.P.Playne, K.A. Hawick

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Tags: Computer science, CUDA, GPU cluster, N-body simulation, nVidia, Tesla C2070

June 6, 2012 by hgpu

Landau Gauge Fixing on GPUs

Nuno Cardoso, Paulo J. Silva, Pedro Bicudo, Orlando Oliveira

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, nVidia, Package, Physics, Tesla C2070

June 5, 2012 by hgpu

Parallel Triangular Solvers on GPU

Hui Liu, Song Yu, Zhangxin Chen

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Tags: Computer science, CUDA, Factorization, Linear Algebra, nVidia, Tesla C2050, Tesla C2070

June 3, 2012 by hgpu

Reservoir Simulation on NVIDIA Tesla GPUs

Zhangxin Chen, Hui Liu, Song Yu, Ben Hsieh, Lei Shao

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Tags: Computer science, nVidia, Tesla C2050, Tesla C2070

June 3, 2012 by hgpu

An open source MATLAB program for fast numerical Feynman integral calculations for open quantum system dynamics on GPUs

Nikesh S. Dattani

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Tags: Chemical Physics, Computational Physics, Mathematical Physics, nVidia, Physics, Quantum Physics, Tesla C2070

June 1, 2012 by hgpu

Routine Microsecond Molecular Dynamics Simulations with AMBER on GPUs. 1. Generalized Born

Andreas W. Gotz, Mark J. Williamson, Dong Xu, Duncan Poole, Scott Le Grand, Ross C. Walker

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Tags: Algorithms, Chemistry, CUDA, Molecular dynamics, nVidia, nVidia GeForce GTX 580, Tesla C1060, Tesla C2070, Tesla M2090

May 26, 2012 by hgpu

SPOC: GPGPU Programming Through Stream Processing With OCaml

Mathias Bourgoin, Emmanuel Chailloux, Jean-Luc Lamotte

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Tags: ATI, ATI Radeon HD 6950, Computer science, CUDA, nVidia, OpenCL, Package, Tesla C2070

May 19, 2012 by hgpu

Design of a Hybrid Memory System for General-Purpose Graphics Processing Units

Patrick Carpenter

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Tags: Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 470, nVidia GeForce GTX 480, Tesla C2070, Tesla M2050, Thesis

May 6, 2012 by hgpu

Examining the Analytic Structure of Green’s Functions: Massive Parallel Complex Integration using GPUs

Andreas Windisch, Reinhard Alkofer, Gundolf Haase, Manfred Liebmann

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Tags: Algorithms, Computational Physics, CUDA, Fortran, High Energy Physics - Phenomenology, High Energy Physics - Theory, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 550 Ti, Physics, Tesla C2070

May 4, 2012 by hgpu

Characterizing and Improving the Use of Demand-Fetched Caches in GPUs

Wenhao Jia, Kelly A. Shaw, Margaret Martonosi

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Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, Optimization, Performance, Tesla C2070

April 28, 2012 by hgpu

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Decoupling Algorithms from Schedules for Easy Optimization of Image Processing Pipelines

Ameliorating Memory Contention of OLAP operators on GPU Processors

Classical Mechanical Hard-Core Particles Simulated in a Rigid Enclosure using Multi-GPU Systems

Landau Gauge Fixing on GPUs

Parallel Triangular Solvers on GPU

Reservoir Simulation on NVIDIA Tesla GPUs

An open source MATLAB program for fast numerical Feynman integral calculations for open quantum system dynamics on GPUs

Routine Microsecond Molecular Dynamics Simulations with AMBER on GPUs. 1. Generalized Born

SPOC: GPGPU Programming Through Stream Processing With OCaml

Design of a Hybrid Memory System for General-Purpose Graphics Processing Units

Examining the Analytic Structure of Green’s Functions: Massive Parallel Complex Integration using GPUs

Characterizing and Improving the Use of Demand-Fetched Caches in GPUs

Recent source codes

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

ROCm's implementation of Gromacs

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

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