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GPU Parallel Algorithms for Reporting Movement Behaviour Patterns in Spatiotemporal Databases

Nacho Valladares Cereceda

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Tags: Algorithms, Computer science, CUDA, Data mining, Databases, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Thesis

July 27, 2013 by hgpu

Real Time Pixel Art Remasterization on GPUs

Marco A. G. Silva, Anselmo Montenegro, Esteban Clua, Cristina Vasconcelos, Marcos Lage

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 580, Visualization

July 20, 2013 by hgpu

A Software-Based Self Test of CUDA Fermi GPUs

Stefano Di Carlo, Giulio Gambardella, Marco Indaco, Ippazio Martella, Paolo Prinetto, Daniele Rolfo, Pascal Trotta

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Tags: Computer science, CUDA, Fault simulation, nVidia, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 580

July 17, 2013 by hgpu

Optimized MFCC Feature Extraction on GPU

Haofeng Kou, Weijia Shang, Ian Lane, Jike Chong

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Speech recognition

July 13, 2013 by hgpu

Fast PCA-BAsed Face Recognition on GPUs

Youngsang Woo, Cheongyong Yi, Youngmin Yi

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Tags: Algorithms, Biometrics, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 580

July 12, 2013 by hgpu

Discontinuous Galerkin Methods on Graphics Processing Units for Nonlinear Hyperbolic Conservation Laws

Martin Fuhry, Lilia Krivodonova

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Tags: Algorithms, CUDA, Mathematics, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 580

July 9, 2013 by hgpu

A Visual Approach to Investigating Shared and Global Memory Behavior of CUDA Kernels

Paul Rosen

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Performance, Wavelet

June 24, 2013 by hgpu

Provably Efficient GPU Algorithms

Nodari Sitchinava, Volker Weichert

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Performance, Sorting

June 24, 2013 by hgpu

Exploring GPGPUs Workload Characteristics and Power Consumption

Sohan Lal, Jan Lucas, Mauricio Alvarez-Mesa, Ahmed Elhossini, Ben Juurlink

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Tags: Computer science, CUDA, Energy-efficient computing, GPGPU-sim, nVidia, nVidia GeForce GTX 580, Performance

June 22, 2013 by hgpu

Applying the “Simple Accelerator Modelling in MATLAB” (SAMM) Code to High Luminosity LHC Upgrade

K.M. Hock, A. Wolski, R.B. Appleby

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Tags: CUDA, High Energy Physics - Experiment, nVidia, nVidia GeForce GTX 580, Physics

June 21, 2013 by hgpu

Parallel Algorithms for Hybrid Multi-core CPU-GPU Implementations of Component Labelling in Critical Phase Models

K.A. Hawick, D.P. Playne

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Tags: Algorithms, CUDA, Hybrid computing, Numerical simulation, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 590, nVidia GeForce GTX 680, Phase transition, Physics, Tesla M2075, Tesla M2090

June 19, 2013 by hgpu

Real-Time Geometry Decompression on Graphics Hardware

Quirin Nikolaus Meyer

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Rendering, Thesis

June 19, 2013 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

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

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

Experiences with implementing Kokkos’ SYCL backend

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

See all packages

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high performance computing on graphics processing units: hgpu.org

GPU Parallel Algorithms for Reporting Movement Behaviour Patterns in Spatiotemporal Databases

Real Time Pixel Art Remasterization on GPUs

A Software-Based Self Test of CUDA Fermi GPUs

Optimized MFCC Feature Extraction on GPU

Fast PCA-BAsed Face Recognition on GPUs

Discontinuous Galerkin Methods on Graphics Processing Units for Nonlinear Hyperbolic Conservation Laws

A Visual Approach to Investigating Shared and Global Memory Behavior of CUDA Kernels

Provably Efficient GPU Algorithms

Exploring GPGPUs Workload Characteristics and Power Consumption

Applying the “Simple Accelerator Modelling in MATLAB” (SAMM) Code to High Luminosity LHC Upgrade

Parallel Algorithms for Hybrid Multi-core CPU-GPU Implementations of Component Labelling in Critical Phase Models

Real-Time Geometry Decompression on Graphics Hardware

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

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

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

Most viewed papers (last 30 days)