high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Volume and Isosurface Rendering with GPU-Accelerated Cell Projection

Marroquim, R., Maximo, A., Farias, R., Esperanca, C.

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Tags: 3D Graphics and Realism, Computer science, GLSL, Image generation, nVidia, nVidia GeForce 6800, OpenGL, Rendering

December 11, 2010 by hgpu

Distributed Texture Memory in a Multi-GPU Environment

Moerschell, Adam, Owens, D. John

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Tags: Cg, Computer science, GPU cluster, nVidia, nVidia GeForce 7800 GTX

December 11, 2010 by hgpu

Zippy: A Framework for Computation and Visualization on a GPU Cluster

Fan, Zhe, Qiu, Feng, Kaufman, E. Arie

Tags: Computer science, GPU cluster

December 11, 2010 by hgpu

GPU accelerated radio astronomy signal convolution

Chris Harris, Karen Haines, Lister Staveley-Smith

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Tags: Astrophysics, CUDA, nVidia, nVidia GeForce 8800 GTS, Physics

December 11, 2010 by hgpu

Program optimization carving for GPU computing?

S. Ryoo, C. Rodrigues, S. Stone, J. Stratton, S. Ueng, S. Baghsorkhi, W. Hwu

Tags: Computer science, nVidia, Optimization

December 11, 2010 by hgpu

Accelerating molecular dynamics simulations using Graphics Processing Units with CUDA

W. Liu, B. Schmidt, G. Voss, W. Mullerwittig

Tags: Chemistry, CUDA, Molecular dynamics, nVidia

December 11, 2010 by hgpu

Displacement Mapping on the GPU – State of the Art

Szirmay-Kalos, Laszlo, Umenhoffer, Tamas

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Tags: 3D Graphics and Realism, Computer science, DirectX, HLSL, nVidia, nVidia GeForce 6800 GT, nVidia GeForce 8800 GTX

December 11, 2010 by hgpu

GPU-boosted online image matching

A. Chariot, R. Keriven

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Tags: Cg, Image processing, Image recognition, Image reconstruction, nVidia, nVidia GeForce 8800 Ultra, OpenGL

December 11, 2010 by hgpu

The impact of accelerator processors for high-throughput molecular modeling and simulation

G. Giupponi, M. Harvey, G. Defabritiis

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Tags: Bioinformatics, Cell processor, Chemistry, Medicine, Molecular modeling, nVidia, Review

December 11, 2010 by hgpu

Future graphics architectures

William Mark

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Tags: Computer science, Hardware, Review

December 11, 2010 by hgpu

Biomedical image analysis on a cooperative cluster of GPUs and multicores

Timothy D.R. Hartley, Umit Catalyurek, Antonio Ruiz, Francisco Igual, Rafael Mayo, Manuel Ujaldon

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Tags: CUDA, Image processing, Medicine, nVidia, nVidia Quadro FX 5600

December 10, 2010 by hgpu

Merge: a programming model for heterogeneous multi-core systems

Michael D. Linderman, Jamison D. Collins, Hong Wang, Teresa H. Meng

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Tags: Architecture, Computer science, Intel, Intel GMA X3000, Programming techniques

December 10, 2010 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

Applications

Volume and Isosurface Rendering with GPU-Accelerated Cell Projection

Distributed Texture Memory in a Multi-GPU Environment

Zippy: A Framework for Computation and Visualization on a GPU Cluster

GPU accelerated radio astronomy signal convolution

Program optimization carving for GPU computing?

Accelerating molecular dynamics simulations using Graphics Processing Units with CUDA

Displacement Mapping on the GPU – State of the Art

GPU-boosted online image matching

The impact of accelerator processors for high-throughput molecular modeling and simulation

Future graphics architectures

Biomedical image analysis on a cooperative cluster of GPUs and multicores

Merge: a programming model for heterogeneous multi-core 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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