high performance computing on graphics processing units: hgpu.org

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A survey of point-based techniques in computer graphics

Leif Kobbelt, Mario Botsch

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Rendering, Review

November 29, 2010 by hgpu

A survey of BRDF models for computer graphics

Murat Kurt, Dave Edwards

Tags: 3D Graphics and Realism, Computer science, Image processing, Review

November 27, 2010 by hgpu

Novel Computing Architectures

Volodymyr Kindratenko

Tags: Cell processor, Computer science, FPGA, Review

November 25, 2010 by hgpu

State-of-the-art in heterogeneous computing

Andre R. Brodtkorb, Christopher Dyken, Trond R. Hagen, Jon M. Hjelmervik, Olaf O. Storaasli

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Tags: Computer science, Energy-efficient computing, Review

November 22, 2010 by hgpu

Scalable parallel programming with CUDA

John Nickolls, Ian Buck, Michael Garland, Kevin Skadron

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Tags: Computer science, CUDA, nVidia, Programming techniques, Review

November 17, 2010 by hgpu

Developing and Deploying Advanced Algorithms to Novel Supercomputing Hardware

Robert J. Brunner, Volodymyr V. Kindratenko, Adam D. Myers

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Tags: Algorithms, Astrophysics, Computer science, FPGA, Review

November 13, 2010 by hgpu

Recent algorithm and machine developments for lattice QCD

Ken-Ichi Ishikawa

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Tags: High Energy Physics - Lattice, Monte Carlo simulation, Physics, QCD, Review

November 13, 2010 by hgpu

Implementation of float-float operators on graphics hardware

Guillaume Da Gracca, David Defour

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Tags: Cg, Computer science, nVidia, nVidia GeForce 7800 GTX, Review

November 13, 2010 by hgpu

The Graphics Card as a Streaming Computer

Suresh Venkatasubramanian

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Tags: Computer science, Review

November 13, 2010 by hgpu

Cg in Two Pages

Mark J. Kilgard

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Tags: Cg, Computer science, High-level Languages, HLSL, nVidia, Review

November 13, 2010 by hgpu

QCD on GPUs: cost effective supercomputing

M. A. Clark

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Tags: High Energy Physics - Lattice, Monte Carlo simulation, nVidia, Physics, QCD, Review

November 13, 2010 by hgpu

A Survey of General-Purpose Computation on Graphics Hardware

John D. Owens, David Luebke, Naga Govindaraju, Mark Harris, Jens Kruger, Aaron E. Lefohn, and Timothy J. Purcell

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Tags: Algorithms, Computer science, Review

November 5, 2010 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 survey of point-based techniques in computer graphics

A survey of BRDF models for computer graphics

Novel Computing Architectures

State-of-the-art in heterogeneous computing

Scalable parallel programming with CUDA

Developing and Deploying Advanced Algorithms to Novel Supercomputing Hardware

Recent algorithm and machine developments for lattice QCD

Implementation of float-float operators on graphics hardware

The Graphics Card as a Streaming Computer

Cg in Two Pages

QCD on GPUs: cost effective supercomputing

A Survey of General-Purpose Computation on Graphics Hardware

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

Most viewed papers (last 30 days)