high performance computing on graphics processing units: hgpu.org

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Heterogeneous Task Scheduling for Accelerated OpenMP

Thomas R. W. Scogland, Barry Rountree, Wu-chun Feng, Bronis R. de Supinski

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenMP, Task scheduling, Tesla C2050

May 4, 2012 by hgpu

A Distributed GPU-based Framework for real-time 3D Volume Rendering of Large Astronomical Data Cubes

A.H. Hassan, C.J. Fluke, D.G. Barnes

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, Rendering, Tesla C1060, Tesla C2050, Visualization

May 3, 2012 by hgpu

Automatic NUMA Characterization using Cbench

Ryan Braithwaite, Wu-chun Feng, Patrick McCormick

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Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Package, Task scheduling, Tesla C2050

May 2, 2012 by hgpu

OpenCL and the 13 Dwarfs: A Work in Progress

W. Feng, H. Lin, T. Scogland, J. Zhang

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Tags: ATI, ATI Radeon HD 5450, Benchmarking, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GT 520, OpenCL, Tesla C2050

May 1, 2012 by hgpu

Application of GPUs for the Calculation of Two Point Correlation Functions in Cosmology

Rafael Ponce, Miguel Cardenas-Montes, Juan Jose Rodriguez-Vazquez, Eusebio Sanchez, Ignacio Sevilla

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Tags: Algorithms, Astrophysics, Computational Physics, Cosmology, Cosmology and Extragalactic Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, MPI, nVidia, nVidia GeForce GTX 295, Package, Tesla C1060, Tesla C2050

May 1, 2012 by hgpu

High-Performance Code Generation for Stencil Computations on GPU Architectures

Justin Holewinski, Louis-Noel Pouchet, P. Sadayappan

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Tags: Algorithms, ATI, ATI Radeon HD 6550, Code generation, Compilers, Computer science, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, OpenCL, Programming Languages, Programming techniques, Tesla C2050

April 28, 2012 by hgpu

The Case for Higher Computational Density in the Memory-Bound FDTD Method within Multicore Environments

Mohammed F. Hadi

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Tags: Algorithms, CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, Tesla C2050

April 27, 2012 by hgpu

High-performance sparse matrix-vector multiplication on GPUs for structured grid computations

Jeswin Godwin, Justin Holewinski, P. Sadayappan

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Tags: Computer science, CUDA, Differential equations, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, Partial differential equations, PDEs, Sparse matrix, Tesla C2050

April 25, 2012 by hgpu

Lynx: A Dynamic Instrumentation System for Data-Parallel Applications on GPGPU Architectures

Naila Farooqui, Andrew Kerr, Greg Eisenhauer, Karsten Schwan, Sudhakar Yalamanchili

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Optimization, Package, Tesla C2050

April 25, 2012 by hgpu

Polymer Field-Theory Simulations on Graphics Processing Units

Kris T. Delaney, Glenn H. Fredrickson

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Tags: Computational Physics, CUDA, Field equations, MPI, nVidia, Physics, Polymer Systems, Soft Condensed Matter, Statistical Mechanics, Tesla C2050

April 25, 2012 by hgpu

Comparison of Different Parallel Implementaions of the 2+1-Dimensional KPZ Model and the 3-Dimensional KMC Model

Jeffrey Kelling, Odor Geza, Mate Nagy Ferenc, Henrik Schulz, Karl-Heinz Heinig

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Tags: ATI, ATI Radeon HD 5970, ATI Radeon HD 6970, Computer science, CUDA, Materials Science, MPI, nVidia, OpenCL, Physics, Tesla C1060, Tesla C2050, Tesla C2070

April 25, 2012 by hgpu

Auto-tuning Dense Vector and Matrix-Vector Operations for Fermi GPUs

Hans Henrik Brandenborg Sorensen

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Tags: BLAS, Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, Tesla C2050

April 18, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Heterogeneous Task Scheduling for Accelerated OpenMP

A Distributed GPU-based Framework for real-time 3D Volume Rendering of Large Astronomical Data Cubes

Automatic NUMA Characterization using Cbench

OpenCL and the 13 Dwarfs: A Work in Progress

Application of GPUs for the Calculation of Two Point Correlation Functions in Cosmology

High-Performance Code Generation for Stencil Computations on GPU Architectures

The Case for Higher Computational Density in the Memory-Bound FDTD Method within Multicore Environments

High-performance sparse matrix-vector multiplication on GPUs for structured grid computations

Lynx: A Dynamic Instrumentation System for Data-Parallel Applications on GPGPU Architectures

Polymer Field-Theory Simulations on Graphics Processing Units

Comparison of Different Parallel Implementaions of the 2+1-Dimensional KPZ Model and the 3-Dimensional KMC Model

Auto-tuning Dense Vector and Matrix-Vector Operations for Fermi 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

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