high performance computing on graphics processing units: hgpu.org

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Efficient Parallel CKY Parsing on GPUs

Youngmin Yi, Chao-Yue Lai, Slav Petrov, Kurt Keutzer

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Tags: Algorithms, Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Text mining

January 13, 2012 by hgpu

Real-time massively parallel processing of spectral optical coherence tomography data on graphics processing units

Marcin Sylwestrzak, Daniel Szlag, Maciej Szkulmowski, Piotr Targowski

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Tags: CUDA, Data acquisition, Medicine, nVidia, nVidia GeForce GTX 285, OpenGL, Rendering, Tomography

January 11, 2012 by hgpu

Acceleration of AES encryption on CUDA GPU

Keisuke Iwai, Naoki Nishikawa, Takakazu Kurokawa

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Tags: AES, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Security

January 10, 2012 by hgpu

Cryptanalysis of the Full AES Using GPU-Like Special-Purpose Hardware

Alex Biryukov and Johann Grossschadl

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Tags: AES, Algorithms, Block Ciphers, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Security

January 8, 2012 by hgpu

Efficient 3D reconstruction of large-scale urban environments from street-level video

David Gallup

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 285, Security, Thesis

January 6, 2012 by hgpu

Fully 3D list-mode time-of-flight PET image reconstruction on GPUs using CUDA

Jing-yu Cui, Guillem Pratx, Sven Prevrhal, Craig S. Levin

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Tags: Algorithms, CUDA, Image reconstruction, Medicine, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Optimization, PET, Tomography

January 5, 2012 by hgpu

A Parallel Supercomputer Implementation of a Biological Inspired Neural Network and its use for Pattern Recognition

Vincent de Ladurantaye, Jean Lavoie, Jocelyn Bergeron, Maxime Parenteau, Huizhong Lu, Ramin Pichevar, Jean Rouat

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Tags: Biology, CUDA, MPI, Neural networks, nVidia, nVidia GeForce GTX 285, Pattern recognition

January 5, 2012 by hgpu

Parallel Implementation Algorithm of Motion Estimation for GPU Applications

Tian Song, Masashi Koshino, Yuya Matsunohana, Takashi Shimamoto

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Tags: Algorithms, CUDA, H.264/AVC, Image processing, nVidia, nVidia GeForce GTX 285

January 4, 2012 by hgpu

Robust Edge Detection and GPU-Based Smoothing for Extracting Surface Primitives from Range Images

Kunihiko Ikeda, Chihiro Matsunuma, Hiroshi Masuda

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Tags: Algorithms, CAD, Computer science, CUDA, nVidia, nVidia GeForce GTX 285

January 3, 2012 by hgpu

Two Simple Single-pass GPU methods for Multi-channel Surface Voxelization of Dynamic Scenes

Athanasios Gaitatzes, Pavlos Mavridis, Georgios Papaioannou

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Tags: Algorithms, Computer science, Fluid simulation, GLSL, Image generation, nVidia, nVidia GeForce GTX 285, OpenGL, Rendering, Voxelization

January 1, 2012 by hgpu

Fast Speaker Diarization Using a Specialization Framework for Gaussian Mixture Model Training

Ekaterina Gonina

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Tags: Acoustics, Algorithms, Clustering, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Package, Python, Thesis

December 31, 2011 by hgpu

High Performance and Scalable Radix Sorting: A case study of implementing dynamic parallelism for GPU computing

Duane Merrill, Andrew Grimshaw

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Package, Sorting

December 24, 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

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high performance computing on graphics processing units: hgpu.org

Efficient Parallel CKY Parsing on GPUs

Real-time massively parallel processing of spectral optical coherence tomography data on graphics processing units

Acceleration of AES encryption on CUDA GPU

Cryptanalysis of the Full AES Using GPU-Like Special-Purpose Hardware

Efficient 3D reconstruction of large-scale urban environments from street-level video

Fully 3D list-mode time-of-flight PET image reconstruction on GPUs using CUDA

A Parallel Supercomputer Implementation of a Biological Inspired Neural Network and its use for Pattern Recognition

Parallel Implementation Algorithm of Motion Estimation for GPU Applications

Robust Edge Detection and GPU-Based Smoothing for Extracting Surface Primitives from Range Images

Two Simple Single-pass GPU methods for Multi-channel Surface Voxelization of Dynamic Scenes

Fast Speaker Diarization Using a Specialization Framework for Gaussian Mixture Model Training

High Performance and Scalable Radix Sorting: A case study of implementing dynamic parallelism for GPU computing

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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