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Parallel Approaches to Edit Distance and Approximate String Matching

Cary Yang, Kevin Zhang

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, String matching

May 20, 2014 by hgpu

Hierarchical Transparent Programming for Heterogeneous Computing

Yuri Torres de la Sierra

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Tags: Computer science, CUDA, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 680, OpenCL, Thesis

May 17, 2014 by hgpu

Multi-GPGPU Cellular Automata Simulations using OpenACC

Sebastian Szkoda, Zbigniew Koza, Mateusz Tykierko

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Tags: Algorithms, Cellular automata, CUDA, Fluid dynamics, MPI, nVidia, nVidia GeForce GTX 480, OpenACC, Tesla C2090, Tesla K20, Tesla M2090

May 15, 2014 by hgpu

Entropy-based High Performance Computation of Boolean SNP-SNP Interactions Using GPUs

Carlos Riveros, Manuel Ujaldon, Moscato Pablo

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 480, Tesla C1060, Tesla C2050

May 12, 2014 by hgpu

3D Objects Tracking by GPGPU-Enhanced Particle Filter Algorithms

Jieyun Zhou, Masayuki Numao, Xiaofeng Li, Haitao Chen

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 9300 M, nVidia GeForce GTX 480, OpenCV, Particle filtering

May 10, 2014 by hgpu

Computer vision for continuous plankton monitoring

Damian Janusz Matuszewski

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Tags: Computer science, Computer vision, CUDA, Data acquisition, nVidia, nVidia GeForce GTX 480, OpenCV, Thesis

May 5, 2014 by hgpu

Assessing the Performance-Energy Balance of Graphics Processors for Spectral Unmixing

Sergio Sanchez, German Leon, Antonio Plaza, Enrique S. Quintana-Orti

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Tags: ARM, CUDA, Energy-efficient computing, Image processing, nVidia, nVidia GeForce GTX 480, nVidia Quadro 1000 M, Tesla K20

May 5, 2014 by hgpu

On the Use of Remote GPUs and Low-Power Processors for the Acceleration of Scientific Applications

A. Castello, J. Duato, R. Mayo, A. J. Pena, E. S. Quintana-Orti, V. Roca, F. Silla

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Tags: Bioinformatics, Computer science, CUDA, Energy-efficient computing, Heterogeneous systems, Molecular dynamics, nVidia, nVidia GeForce GTX 480, Virtualization

April 27, 2014 by hgpu

Parallel Computational Intelligence-Based Multi-Camera Surveillance System

Sergio Orts-Escolano, Jose Garcia-Rodriguez, Vicente Morell, Miguel Cazorla, Jorge Azorin, Juan Manuel Garcia-Chamizo

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Tags: Computer science, Computer vision, CUDA, Image processing, Neural networks, nVidia, nVidia GeForce GTX 480

April 24, 2014 by hgpu

Collision Detection Based on Fuzzy Scene Subdivision

David Mainzer, Gabriel Zachmann

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Tags: Algorithms, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 480

April 19, 2014 by hgpu

State of the Art Report on Real-time Rendering with Hardware Tessellation

Henry Schafer, Matthias Niessner, Benjamin Keinert, Marc Stamminger, Charles Loop

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Tags: 3D Graphics and Realism, Computer science, DirectX, Interactive application, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 780, Rendering, Tessellation

April 7, 2014 by hgpu

A Novel Open Source Morphology Using GPU Processing With LTU-CUDA

G. Jagannathan, R. Subash, K. Senthil Raja

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 480

April 2, 2014 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 Approaches to Edit Distance and Approximate String Matching

Hierarchical Transparent Programming for Heterogeneous Computing

Multi-GPGPU Cellular Automata Simulations using OpenACC

Entropy-based High Performance Computation of Boolean SNP-SNP Interactions Using GPUs

3D Objects Tracking by GPGPU-Enhanced Particle Filter Algorithms

Computer vision for continuous plankton monitoring

Assessing the Performance-Energy Balance of Graphics Processors for Spectral Unmixing

On the Use of Remote GPUs and Low-Power Processors for the Acceleration of Scientific Applications

Parallel Computational Intelligence-Based Multi-Camera Surveillance System

Collision Detection Based on Fuzzy Scene Subdivision

State of the Art Report on Real-time Rendering with Hardware Tessellation

A Novel Open Source Morphology Using GPU Processing With LTU-CUDA

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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