high performance computing on graphics processing units: hgpu.org

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Tracking humans interacting with the environment using efficient hierarchical sampling and layered observation models

Jan Bandouch, Michael Beetz

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Tags: Computer science, Computer vision, CUDA, nVidia, Video tracking

July 19, 2011 by hgpu

An auto-tuning framework for parallel multicore stencil computations

Shoaib Kamil, Cy Chan, Leonid Oliker, John Shalf, Samuel Williams

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Tags: Code generation, Computer science, CUDA, Fortran, nVidia, nVidia GeForce GTX 280

July 18, 2011 by hgpu

Exploring 2D tensor fields using stress nets

Andrew Wilson, Rebecca Brannon

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Tags: Computer science, Image generation, nVidia, nVidia Quadro FX 3000, OpenGL

July 18, 2011 by hgpu

The lattice-Boltzmann method for simulating gaseous phenomena

Xiaoming Wei, Wei Li, Klaus Mueller, Arie E. Kaufman

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Tags: Computer science, Lattice Boltzmann model, nVidia, nVidia GeForce 4, Rendering, Visualization

July 18, 2011 by hgpu

Signed distance transform using graphics hardware

Christian Sigg, Ronald Peikert, Markus Gross

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Tags: ATI, ATI Radeon 9700 Pro, Computer science, Distance transform, Image generation, OpenGL, Voronoi diagram

July 18, 2011 by hgpu

Parallel simulation of Petri nets on desktop PC hardware

Robert Geist, Jacob Hicks, Mark Smotherman, James Westall

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Tags: Algorithms, Cg, Computer science, nVidia, nVidia GeForce 6800 Ultra, nVidia GeForce FX 5950, Package, Performance

July 18, 2011 by hgpu

3.5-D Blocking Optimization for Stencil Computations on Modern CPUs and GPUs

Anthony Nguyen, Nadathur Satish, Jatin Chhugani, Changkyu Kim, Pradeep Dubey

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Tags: Algorithms, Computer science, Lattice Boltzmann model, nVidia, nVidia GeForce GTX 285

July 18, 2011 by hgpu

Accelerating high-level engineering computations by automatic compilation of Geometric Algebra to hardware accelerators

Jens Huthmann, Peter Muller, Florian Stock, Dietmar Hildenbrand, Andreas Koch

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Tags: CAD, Computer science, FPGA, nVidia, nVidia GeForce GTX 280

July 18, 2011 by hgpu

Dynamic scheduling Monte-Carlo framework for multi-accelerator heterogeneous clusters

Anson H.T. Tse, David B. Thomas, K.H. Tsoi, Wayne Luk

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Tags: Computer science, CUDA, FPGA, Heterogeneous systems, Monte Carlo simulation, nVidia, Tesla C1060

July 17, 2011 by hgpu

Improving the Performance of the Sparse Matrix Vector Product with GPUs

F. Vazquez, G. Ortega, J.J. Fernandez, E.M. Garzon

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Partial differential equations, PDEs, Sparse matrix

July 17, 2011 by hgpu

Boosting sphere decoding speed through Graphic Processing Units

Muhammad S. Khairy, Christian Mehlfuhrer, Markus Rupp

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Tags: Computer science, CUDA, MIMO, Network communications, nVidia, nVidia GeForce 8400 GS, nVidia GeForce GTX 285, Package

July 17, 2011 by hgpu

Voxels on fire

Ye Zhao, Xiaoming Wei, Zhe Fan, A. Kaufman, Hong Qin

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Lattice Boltzmann model, nVidia, nVidia GeForce 4, Physics-based simulation

July 17, 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

Tracking humans interacting with the environment using efficient hierarchical sampling and layered observation models

An auto-tuning framework for parallel multicore stencil computations

Exploring 2D tensor fields using stress nets

The lattice-Boltzmann method for simulating gaseous phenomena

Signed distance transform using graphics hardware

Parallel simulation of Petri nets on desktop PC hardware

3.5-D Blocking Optimization for Stencil Computations on Modern CPUs and GPUs

Accelerating high-level engineering computations by automatic compilation of Geometric Algebra to hardware accelerators

Dynamic scheduling Monte-Carlo framework for multi-accelerator heterogeneous clusters

Improving the Performance of the Sparse Matrix Vector Product with GPUs

Boosting sphere decoding speed through Graphic Processing Units

Voxels on fire

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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