high performance computing on graphics processing units: hgpu.org

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A framework for dynamically instrumenting GPU compute applications within GPU Ocelot

Naila Farooqui, Andrew Kerr, Gregory Diamos, S. Yalamanchili, K. Schwan

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL, Package, Programming Languages, PTX

August 19, 2011 by hgpu

Caracal: dynamic translation of runtime environments for GPUs

Rodrigo Dominguez, Dana Schaa, David Kaeli

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Tags: ATI, ATI CAL, ATI IL, ATI Radeon HD 5870, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, OpenCL, Package, Performance, Programming Languages, PTX

August 19, 2011 by hgpu

Auto-tuning SkePU: a multi-backend skeleton programming framework for multi-GPU systems

Usman Dastgeer, Johan Enmyren, Christoph W. Kessler

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Tags: Computer science, CUDA, Data parallelism, nVidia, OpenCL, OpenMP, Package, Performance, Programming techniques, Tesla C1060

August 19, 2011 by hgpu

SkePU: a multi-backend skeleton programming library for multi-GPU systems

Johan Enmyren, Christoph W. Kessler

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Tags: Computer science, CUDA, Data parallelism, nVidia, OpenCL, OpenMP, Package, Performance, Programming techniques, Tesla C1060

August 18, 2011 by hgpu

Parallelization of the x264 encoder using OpenCL

Erich Marth, Guillermo Marcus

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Tags: Computer science, H.264/AVC, OpenCL, Package, Video encoding

August 18, 2011 by hgpu

Regular Expression Matching and Operational Semantics

Asiri Rathnayake, Hayo Thielecke

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Tags: Computer science, CUDA, Logic in Computer Science, nVidia, Package

August 17, 2011 by hgpu

Equalizer: A Scalable Parallel Rendering Framework

Stefan Eilemann, Maxim Makhinya, Renato Pajarola

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Tags: 3D Graphics and Realism, Computer science, GPU cluster, nVidia, nVidia GeForce 7800 GTX, nVidia Quadro FX 4500, OpenGL, Package, Rendering, Visualization

August 15, 2011 by hgpu

Using the physics-based rendering toolkit for medical reconstruction

Steven Bergner, Eric Dagenais, Anna Celler, Torsten Moller

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Tags: Algorithms, Image reconstruction, Medicine, nVidia, nVidia GeForce 6600 GT, OpenGL, Package, Rendering, Tomography

August 12, 2011 by hgpu

Predictive Lazy Amplification: Synthesis and Rendering of Massive Procedural Scenes in Real Time

Carlucio Santos Cordeiro, Luiz Chaimowicz

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce GTX 280, OpenGL, Package, Real-time graphics, Rendering, Visualization

August 11, 2011 by hgpu

A simple and flexible volume rendering framework for graphics-hardware-based raycasting

Simon Stegmaier, Magnus Strengert, Thomas Klein, Thomas Ertl

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Tags: 3D Graphics and Realism, Benchmarking, Computer science, Image generation, nVidia, nVidia GeForce 6800 GT, OpenGL, Package, Raytracing, Rendering

August 7, 2011 by hgpu

Ambient Occlusion and Edge Cueing for Enhancing Real Time Molecular Visualization

Marco Tarini, Paolo Cignoni, Claudio Montani

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Tags: ATI, ATI Radeon X1600, Computer science, Molecular modeling, Package, Real-time graphics, Rendering, Visualization

August 7, 2011 by hgpu

Accelerating wavelet-based video coding on graphics hardware using CUDA

Wladimir J. van der Laan, Jos B.T.M. Roerdink, Andrei C. Jalba

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Tags: Compression, CUDA, Discrete Wavelet Transform, Motion compensation, nVidia, nVidia GeForce GTX 280, Package, Signal processing

August 5, 2011 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

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

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

Experiences with implementing Kokkos’ SYCL backend

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

See all packages

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high performance computing on graphics processing units: hgpu.org

A framework for dynamically instrumenting GPU compute applications within GPU Ocelot

Caracal: dynamic translation of runtime environments for GPUs

Auto-tuning SkePU: a multi-backend skeleton programming framework for multi-GPU systems

SkePU: a multi-backend skeleton programming library for multi-GPU systems

Parallelization of the x264 encoder using OpenCL

Regular Expression Matching and Operational Semantics

Equalizer: A Scalable Parallel Rendering Framework

Using the physics-based rendering toolkit for medical reconstruction

Predictive Lazy Amplification: Synthesis and Rendering of Massive Procedural Scenes in Real Time

A simple and flexible volume rendering framework for graphics-hardware-based raycasting

Ambient Occlusion and Edge Cueing for Enhancing Real Time Molecular Visualization

Accelerating wavelet-based video coding on graphics hardware using CUDA

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

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

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

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