high performance computing on graphics processing units: hgpu.org

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Performance evaluation and optimization of random memory access on multicores with high productivity

Vaibhav Saxena, Yogish Sabharwal, Pramod Bhatotia

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Tags: Benchmarking, Computer science, CUDA, Memory, nVidia, nVidia Quadro FX 4600, Optimization

August 10, 2011 by hgpu

AES finalists implementation for GPU and multi-core CPU based on OpenCL

Xingliang Wang, Xiaochao Li, Mei Zou, Jun Zhou

Tags: AES, Benchmarking, Computer science, CUDA, nVidia, OpenCL, Security

August 8, 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

Enabling active storage on parallel I/O software stacks

Seung Woo Son, Samuel Lang, Philip Carns, Robert Ross, Rajeev Thakur, Berkin Ozisikyilmaz, Prabhat Kumar, Wei-Keng Liao, Alok Choudhary

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Tags: Benchmarking, Computer science, CUDA, GPU cluster, MPI, nVidia, Tesla C1060

August 6, 2011 by hgpu

A Comparison of Gradient Estimation Methods for Volume Rendering on Unstructured Meshes

Carlos Correa, Robert Hero, Kwan-Liu Ma

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Tags: Algorithms, Benchmarking, Computer science, Rendering, Visualization

August 6, 2011 by hgpu

Tradeoffs in designing accelerator architectures for visual computing

Aqeel Mahesri, Daniel Johnson, Neal Crago, Sanjay J. Patel

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Tags: Benchmarking, CMP, Computer science, Computer vision, Rendering, Video encoding, Visualization

August 4, 2011 by hgpu

Interactive Collision Detection for Deformable Models Using Streaming AABBs

Xinyu Zhang, Y.J. Kim

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Tags: Algorithms, Benchmarking, Cg, Collision detection, Computer science, nVidia, nVidia GeForce 7800 GTX, OpenGL

July 30, 2011 by hgpu

High-Speed Dense Stereo Via Directional Center-Biased Windows on Graphics Hardware

Jiangbo Lu, S. Rogmans, G. Lafruit, F. Catthoor

Tags: Algorithms, Benchmarking, Computer science, nVidia, nVidia GeForce 7900, Optimization, Stereo vision

July 27, 2011 by hgpu

Effective Dynamic Scheduling on Heterogeneous Multi/Manycore Desktop Platforms

Alecio P.D. Binotto, Bernardo M.V. Pedras, Marcelo Goetz, Arjan Kuijper, Carlos E. Pereira, Andre Stork, Dieter W. Fellner

Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Task scheduling

July 27, 2011 by hgpu

Data-Aware Task Scheduling on Multi-accelerator Based Platforms

Cedric Augonnet, Jerome Clet-Ortega, Samuel Thibault, Raymond Namyst

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Heterogeneous systems, MPI, nVidia, nVidia Quadro FX 5800, Package, Prefetch, Task scheduling, Tesla S1070

July 26, 2011 by hgpu

Gpu architecture for stationary multisensor pedestrian detection at smart intersections

Daniel Weimer, Sebastian Kohler, Christian Hellert, Konrad Doll, Ulrich Brunsmann, Roland Krzikalla

Tags: Benchmarking, Computer science, Computer vision, CUDA, nVidia

July 24, 2011 by hgpu

Applying graphics processor acceleration in a software defined radio prototyping environment

William Plishker, George F. Zaki, Shuvra S. Bhattacharyya, Charles Clancy, John Kuykendall

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Tags: Benchmarking, CUDA, nVidia, nVidia GeForce GTX 260, Signal processing

July 24, 2011 by hgpu

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

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

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

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Performance evaluation and optimization of random memory access on multicores with high productivity

AES finalists implementation for GPU and multi-core CPU based on OpenCL

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

Enabling active storage on parallel I/O software stacks

A Comparison of Gradient Estimation Methods for Volume Rendering on Unstructured Meshes

Tradeoffs in designing accelerator architectures for visual computing

Interactive Collision Detection for Deformable Models Using Streaming AABBs

High-Speed Dense Stereo Via Directional Center-Biased Windows on Graphics Hardware

Effective Dynamic Scheduling on Heterogeneous Multi/Manycore Desktop Platforms

Data-Aware Task Scheduling on Multi-accelerator Based Platforms

Gpu architecture for stationary multisensor pedestrian detection at smart intersections

Applying graphics processor acceleration in a software defined radio prototyping environment

Recent source codes

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

ROCm's implementation of Gromacs

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

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