high performance computing on graphics processing units: hgpu.org

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Interactive Indirect Illumination Using Adaptive Multiresolution Splatting

Greg Nichols, Chris Wyman

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Tags: 3D Graphics and Realism, Computer science, GLSL, Interactive application, nVidia, nVidia GeForce GTX 280, OpenGL, Rendering

September 3, 2011 by hgpu

GPU-accelerated time-domain circuit simulation

R.E. Poore

Tags: Computer science, Electronic design automation, nVidia, nVidia GeForce GTX 280

September 2, 2011 by hgpu

A Novel Interface for Interactive Exploration of DTI Fibers

Wei Chen, Zi'ang Ding, Song Zhang, A. MacKay-Brandt, S. Correia, Huamin Qu, J.A. Crow, D.F. Tate, Zhicheng Yan, Qunsheng Peng

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Tags: Computer science, Diffusion tensor, nVidia, nVidia GeForce GTX 280, OpenGL, Optimization, Rendering, Visualization

August 31, 2011 by hgpu

Rapid RNA Folding: Analysis and Acceleration of the Zuker Recurrence

Arpith C. Jacob, Jeremy D. Buhler, Roger D. Chamberlain

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Tags: Algorithms, Bioinformatics, Biology, Computational biology, CUDA, FPGA, nVidia, nVidia GeForce GTX 280, RNA, Tesla C870

August 27, 2011 by hgpu

A new adaptive model for real-time fluid simulation with complex boundaries

Jian He, Xi Chen, Zhangye Wang, Ke Yan, Chen Cao, Qunsheng Peng

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Tags: Algorithms, Cg, CUDA, Fluid dynamics, Fluid simulation, nVidia, nVidia GeForce GTX 280, Voxelization

August 27, 2011 by hgpu

JCudaMP: OpenMP/Java on CUDA

Georg Dotzler, Ronald Veldema, Michael Klemm

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Tags: Code generation, Computer science, CUDA, Java, nVidia, nVidia GeForce GTX 280, OpenMP, Programming Languages, Programming techniques

August 23, 2011 by hgpu

Bounding the effect of partition camping in GPU kernels

Ashwin M. Aji, Mayank Daga, Wu-chun Feng

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Tags: Benchmarking, Computer science, CUDA, Memory, nVidia, nVidia GeForce GTX 280, Performance

August 23, 2011 by hgpu

Towards metaprogramming for parallel systems on a chip

Lee Howes, Anton Lokhmotov, Alastair F. Donaldson, Paul H.J. Kell

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Performance, Programming techniques

August 22, 2011 by hgpu

A programming model for GPU-based parallel computing with scalability and abstraction

Balazs Domonkos, Gabor Jakab

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Tags: 3D Graphics and Realism, Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 280, OpenMP, Programming techniques

August 22, 2011 by hgpu

Parallel 3D multigrid methods on the STI cell BE architecture

Fabian Oboril, Jan-Philipp Weiss, Vincent Heuveline

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Tags: Cell processor, Computer science, nVidia, nVidia GeForce GTX 280, OpenCL, Performance

August 20, 2011 by hgpu

Real-time rendering and dynamic updating of 3-d volumetric data

Andrew Miller, Vishal Jain, Joseph L. Mundy

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Tags: ATI, ATI Radeon HD 5870, Computer science, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, OpenCL, Rendering

August 19, 2011 by hgpu

Energy-aware metrics for benchmarking heterogeneous systems

Simon McIntosh-Smith, Terry Wilson, Jon Crisp, Amaurys Avila Ibarra, Richard B. Sessions

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Tags: Benchmarking, Computer science, Energy-efficient computing, Heterogeneous systems, Molecular modeling, nVidia, nVidia GeForce GTX 280, OpenCL, Tesla C2050

August 18, 2011 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

Interactive Indirect Illumination Using Adaptive Multiresolution Splatting

GPU-accelerated time-domain circuit simulation

A Novel Interface for Interactive Exploration of DTI Fibers

Rapid RNA Folding: Analysis and Acceleration of the Zuker Recurrence

A new adaptive model for real-time fluid simulation with complex boundaries

JCudaMP: OpenMP/Java on CUDA

Bounding the effect of partition camping in GPU kernels

Towards metaprogramming for parallel systems on a chip

A programming model for GPU-based parallel computing with scalability and abstraction

Parallel 3D multigrid methods on the STI cell BE architecture

Real-time rendering and dynamic updating of 3-d volumetric data

Energy-aware metrics for benchmarking heterogeneous systems

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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