high performance computing on graphics processing units: hgpu.org

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Productive High Performance Parallel Programming with Auto-tuned Domain-Specific Embedded Languages

Shoaib Ashraf Kamil

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Performance, Programming techniques, Thesis

December 16, 2012 by hgpu

Performance study of using the Direct Compute API for implementing Support vector machines on GPUs

Karl Jansson

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Tags: Algorithms, Computer science, CUDA, Data mining, DirectX, nVidia, nVidia GeForce GTX 460, OpenCL, Package, Thesis

December 15, 2012 by hgpu

Advanced Techniques for the Rendering and Visualization of Volumetric Seismic Data

Martin Panknin

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Tags: CUDA, Earth and Space Sciences, nVidia, Rendering, Thesis, Visualization

December 15, 2012 by hgpu

Matrix-Matrix Multiplications on GPUs for Accelerating a Parallel Fluid Dynamics Code

Kenneth Webster

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Tags: CUBLAS, CUDA, Fluid dynamics, Matrix multiplication, nVidia, Tesla M2070, Thesis

December 12, 2012 by hgpu

Scaling High Performance Domain-Specific Language Implementation with Delite

Hassan Chafi

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Tags: Computer science, CUDA, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce GTX 275, Thesis

December 10, 2012 by hgpu

Hybrid computational voxelization using the graphics pipeline

Randall Rauwendaal

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Tags: Computer science, nVidia, nVidia GeForce GTX 480, OpenGL, Thesis, Voxelization

December 10, 2012 by hgpu

Smoothed Particle Hydrodynamics Simulation for Continuous Casting

Adithya Vijaykumar

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Tags: Fluid dynamics, nVidia, nVidia GeForce GTX 580, OpenCL, Solidification, Thesis

December 8, 2012 by hgpu

GPU accelerating the FEniCS Project

Fredrik Heffer Valdmanis

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Tags: Computer science, CUDA, Differential equations, Linear Algebra, nVidia, Partial differential equations, PDEs, Tesla C2070, Thesis

December 8, 2012 by hgpu

Lightweight Modular Staging and Embedded Compilers: Abstraction Without Regret for High-Level High-Performance Programming

Tiark Rompf

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Tags: Code generation, Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, Performance, Software Engineering, Tesla C2050, Thesis

December 8, 2012 by hgpu

A Data-Parallel Graphics Pipeline Implemented in OpenCL

Joel Ek

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Tags: Computer science, Filtering, OpenCL, Rasterization, Rendering, Thesis

December 5, 2012 by hgpu

FusionSim: Characterizing the Performance Benefits of Fused CPU/GPU Systems

Vitaly Zakharenko

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Tags: AMD Fusion, Analytical model, Benchmarking, Computer science, Package, Performance, Thesis

December 4, 2012 by hgpu

Applying Contact Angle to a Two-Dimensional Smoothed Particle Hydrodynamics (SPH) model on a Graphics Processing Unit (GPU) Platform

Amirsaman Farrokhpanah

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Tags: Analytical model, CUDA, Fluid dynamics, nVidia, Thesis

November 28, 2012 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

Productive High Performance Parallel Programming with Auto-tuned Domain-Specific Embedded Languages

Performance study of using the Direct Compute API for implementing Support vector machines on GPUs

Advanced Techniques for the Rendering and Visualization of Volumetric Seismic Data

Matrix-Matrix Multiplications on GPUs for Accelerating a Parallel Fluid Dynamics Code

Scaling High Performance Domain-Specific Language Implementation with Delite

Hybrid computational voxelization using the graphics pipeline

Smoothed Particle Hydrodynamics Simulation for Continuous Casting

GPU accelerating the FEniCS Project

Lightweight Modular Staging and Embedded Compilers: Abstraction Without Regret for High-Level High-Performance Programming

A Data-Parallel Graphics Pipeline Implemented in OpenCL

FusionSim: Characterizing the Performance Benefits of Fused CPU/GPU Systems

Applying Contact Angle to a Two-Dimensional Smoothed Particle Hydrodynamics (SPH) model on a Graphics Processing Unit (GPU) Platform

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)