high performance computing on graphics processing units: hgpu.org

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Parallel Streaming Intra Prediction for Full HD H.264 Encoding

Ju Ren, Yi He, Huayou Su, Mei Wen, Nan Wu, Chunyuan Zhang

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Tags: CUDA, H.264/AVC, Image processing, nVidia, nVidia GeForce 8800 GTX, Video encoding

September 4, 2011 by hgpu

Visual Human – Machine Learning

Raphael Fuchs, Jurgen Waser, Meister Eduard Groller

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Tags: Algorithms, Computer science, CUDA, Genetic programming, Machine learning, nVidia, Pattern recognition, Rendering, Visualization

September 4, 2011 by hgpu

View-Dependent Streamlines for 3D Vector Fields

Stephane Marchesin, Cheng-Kai Chen, Chris Ho, Kwan-Liu Ma

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, OpenGL, Visualization

September 3, 2011 by hgpu

Utilizing Hierarchical Multiprocessing for Medical Image Registration

William Plishker, Omkar Dandekar, Shuvra S. Bhattacharyya, Raj Shekhar

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Tags: Algorithms, CUDA, Image processing, Image registration, Medicine, nVidia, nVidia GeForce GTX 285

September 3, 2011 by hgpu

Using Graphics Processing Units for Logic Simulation of Electronic Designs

Alper Sen, Baris Aksanli, Murat Bozkurt

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Electronic design automation, nVidia, nVidia Quadro FX 3800, Optimization

September 2, 2011 by hgpu

Using GPU to exploit parallelism on cryptography

R.C. Detomini, R.S. Lobato, R. Spolon, M.A. Cavenaghi

Tags: AES, Algorithms, Computer science, CUDA, nVidia, Security

September 2, 2011 by hgpu

Accelerating String Matching Using Multi-Threaded Algorithm on GPU

Cheng-Hung Lin, Sheng-Yu Tsai, Chen-Hsiung Liu, Shih-Chieh Chang, Jyuo-Min Shyu

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 295, Security, String matching

September 2, 2011 by hgpu

GPU-based simulation of side-looking sonar images

E. Coiras, A. Ramirez-Montesinos, J. Groen

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Tags: CUDA, FFT, nVidia, nVidia GeForce 8800 GT, Signal processing

September 2, 2011 by hgpu

GPU Versus FPGA for High Productivity Computing

David H. Jones, Adam Powell, Christos-Savvas Bouganis, Peter Y. K. Cheung

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Tags: Benchmarking, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX 285

September 2, 2011 by hgpu

Acceleration of TM cylinder EFIE with CUDA

Tyler Killian, Daniel L. Faircloth, Sadasiva M. Rao

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Tags: Conjugate gradient solver, CUDA, Electrodynamics, Field equations, nVidia, nVidia GeForce 8800 GT, nVidia Quadro FX 770 M, nVidia Quadro NVS 140 M, Physics

September 1, 2011 by hgpu

Implementation of Sequential Importance Sampling in GPGPU

Keisuke Hayashi, Masaya M. Saito, Ryo Yoshida, Tomoyuki Higuchi

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Tags: Algorithms, CUDA, Mathematics, Monte Carlo simulation, nVidia, Tesla C870

September 1, 2011 by hgpu

Parallel hierarchical cross entropy optimization for on-chip decap budgeting

Xueqian Zhao, Yonghe Guo, Zhuo Feng, Shiyan Hu

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Tags: Algorithms, Benchmarking, CAD, Computer science, CUDA, Nonlinear optimization, nVidia, nVidia GeForce GTX 285, Optimization, Probability

September 1, 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

Parallel Streaming Intra Prediction for Full HD H.264 Encoding

Visual Human – Machine Learning

View-Dependent Streamlines for 3D Vector Fields

Utilizing Hierarchical Multiprocessing for Medical Image Registration

Using Graphics Processing Units for Logic Simulation of Electronic Designs

Using GPU to exploit parallelism on cryptography

Accelerating String Matching Using Multi-Threaded Algorithm on GPU

GPU-based simulation of side-looking sonar images

GPU Versus FPGA for High Productivity Computing

Acceleration of TM cylinder EFIE with CUDA

Implementation of Sequential Importance Sampling in GPGPU

Parallel hierarchical cross entropy optimization for on-chip decap budgeting

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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