high performance computing on graphics processing units: hgpu.org

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Tri-Hybrid Computational Fluid Dynamics on DOE’s Cray XK7, Titan

Aaron Vose, Brian Mitchell, John Levesque

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Tags: CUDA, Fluid dynamics, MPI, nVidia, OpenACC, Tesla K20

May 24, 2014 by hgpu

cuBLASTP: Fine-Grained Parallelization of Protein Sequence Search on a GPU

Jing Zhang, Hao Wang, Heshan Lin, Wu-chun Feng

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Tags: Bioinformatics, Biology, CUDA, Next-Generation sequencing, nVidia, Sequence alignment, Tesla K20

May 23, 2014 by hgpu

Petascale Application of a Coupled CPU-GPU Algorithm for Simulation and Analysis of Multiphase Flow Solutions in Porous Medium Systems

James E. McClure, Hao Wang, Jan F. Prins, Cass T. Miller, Wu-chun Feng

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Tags: Algorithms, CUDA, Fluid dynamics, Heterogeneous systems, Lattice Boltzmann model, MPI, nVidia, Tesla K20

May 23, 2014 by hgpu

A performance/cost evaluation for a GPU-based drug discovery application on volunteer computing

Gines David Guerrero Hernandez, Baldomero Imbernon, Horacio Perez-Sanchez, Francisco Sanz, Jose M. Garcia, Jose M. Cecilia

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Tags: Bioinformatics, Biology, CUDA, Medicine, nVidia, nVidia GeForce 7300 GT, nVidia GeForce GTX 465, nVidia GeForce GTX 480, nVidia GeForce GTX 590, Tesla C2070, Tesla K20

May 21, 2014 by hgpu

A Step towards Energy Efficient Computing: Redesigning A Hydrodynamic Application on CPU-GPU

Tingxing Dong, Veselin Dobrev, Tzanio Kolev, Robert Rieben, Stanimire Tomov, Jack Dongarra

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Tags: Computer science, CUDA, FEM, Finite element method, Linear Algebra, nVidia, Tesla K20

May 20, 2014 by hgpu

Porting NAHUJ to CUDA

Evghenii Gaburov

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Tags: CUDA, Fluid dynamics, Fortran, nVidia, Tesla K20

May 16, 2014 by hgpu

Hybrid Use of OmpSs for a Shock Hydrodynamics Proxy Application

Jan Christian Meyer

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Tags: CUDA, Fluid dynamics, nVidia, Physics, Tesla K20

May 16, 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

Evolution of a double-front Rayleigh-Taylor system using a GPU-based high resolution thermal Lattice-Boltzmann model

P. Ripesi, L. Biferale, S.F. Schifano, R. Tripiccione

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, Tesla C2050, Tesla K20

May 7, 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

GPU-accelerated ray-tracing for real-time treatment planning

H. Heinrich, P. Ziegenhein, C. P. Kamerling, H. Froening, U. Oelfke

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Tags: Algorithms, CUDA, nVidia, Physics, Radiotherapy, Raytracing, Tesla K20

May 3, 2014 by hgpu

3D FFT on a Single FPGA

Benjamin Humphries, Hansen Zhang, Jiayi Sheng, Raphael Landaverde, Martin C. Herbordt

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Tags: Computer science, CUDA, FFT, FPGA, nVidia, Tesla C1060, Tesla K20

May 2, 2014 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

Tri-Hybrid Computational Fluid Dynamics on DOE’s Cray XK7, Titan

cuBLASTP: Fine-Grained Parallelization of Protein Sequence Search on a GPU

Petascale Application of a Coupled CPU-GPU Algorithm for Simulation and Analysis of Multiphase Flow Solutions in Porous Medium Systems

A performance/cost evaluation for a GPU-based drug discovery application on volunteer computing

A Step towards Energy Efficient Computing: Redesigning A Hydrodynamic Application on CPU-GPU

Porting NAHUJ to CUDA

Hybrid Use of OmpSs for a Shock Hydrodynamics Proxy Application

Multi-GPGPU Cellular Automata Simulations using OpenACC

Evolution of a double-front Rayleigh-Taylor system using a GPU-based high resolution thermal Lattice-Boltzmann model

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

GPU-accelerated ray-tracing for real-time treatment planning

3D FFT on a Single FPGA

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)