high performance computing on graphics processing units: hgpu.org

hgpu.org » Thesis

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

From Parallel Programs to Customized Parallel Processors

Pekka Jaaskelainen

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Tags: Algorithms, Compilers, Computer science, FPGA, High-level Languages, nVidia, nVidia GeForce 9400, OpenCL, Thesis

November 27, 2012 by hgpu

Acceleration of Hardware Testing and Validation Algorithms using Graphics Processing Units

Min Li

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Tags: Algorithms, Computer science, CUDA, Electronic design automation, Fault simulation, nVidia, nVidia GeForce GTX 285, Thesis

November 25, 2012 by hgpu

Enhancing and Porting the HPC-Lab Snow Simulator to OpenCL on Mobile Platforms

Frederik Magnus Johansen Vestre

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6490 M, Computer science, nVidia, nVidia GeForce GTX 560 Ti, OpenCL, Sorting, Thesis

November 24, 2012 by hgpu

Auto-tuning on the macro scale: high level algorithmic auto-tuning for scientific applications

Cy P Chan

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Tags: Algorithms, Code generation, Computer science, nVidia, nVidia GeForce GTX 280, Optimization, Thesis

November 23, 2012 by hgpu

Krylov Subspace Accelerated Algebraic Multigrid for Mimetic Finite Differences on GPUs

Simen Andreas Andreassen Lonsethagen

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Tags: CUDA, Finite difference, Linear Algebra, Mathematics, nVidia, nVidia GeForce GTX 570, Thesis

November 20, 2012 by hgpu

Modern GPGPU Frameworks and their Application to the Physical Core of the ASUCA Weather Prediction Model

Michel Muller

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Tags: CUDA, Earth and Space Sciences, Fortran, nVidia, OpenACC, Tesla M2050, Thesis, Weather prediction, Weather Prediction Model

November 19, 2012 by hgpu

Auto-tunable GPU BLAS (thesis)

Geir Josten Lien

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Tags: ATI, ATI Radeon HD 5870, Benchmarking, Computer science, MPI, nVidia, nVidia GeForce GTX 570, OpenCL, Package, Tesla C2050, Thesis

November 18, 2012 by hgpu

GPU-Based Airway Tree Segmentation and Centerline Extraction

Erik Smistad

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Tags: Algorithms, Medicine, nVidia, OpenCL, Package, Tesla C2070, Thesis, Tomography

November 18, 2012 by hgpu

Lattice Boltzmann Simulations on a GPU: An optimization approach using C++ AMP

Kristoffer Clausen Thyholdt

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Tags: Algorithms, Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia Quadro 1000 M, Optimization, Thesis

November 18, 2012 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

See all packages

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high performance computing on graphics processing units: hgpu.org

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

From Parallel Programs to Customized Parallel Processors

Acceleration of Hardware Testing and Validation Algorithms using Graphics Processing Units

Enhancing and Porting the HPC-Lab Snow Simulator to OpenCL on Mobile Platforms

Auto-tuning on the macro scale: high level algorithmic auto-tuning for scientific applications

Krylov Subspace Accelerated Algebraic Multigrid for Mimetic Finite Differences on GPUs

Modern GPGPU Frameworks and their Application to the Physical Core of the ASUCA Weather Prediction Model

Auto-tunable GPU BLAS (thesis)

GPU-Based Airway Tree Segmentation and Centerline Extraction

Lattice Boltzmann Simulations on a GPU: An optimization approach using C++ AMP

Recent source codes

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

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