high performance computing on graphics processing units: hgpu.org

hgpu.org » Thesis

Parallelisation of Shallow Water Simulation for Heterogeneous Architectures

Michail Emmanouil Pappas

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Tags: CUDA, Fluid dynamics, nVidia, nVidia Quadro FX 2000, OpenCL, Thesis

December 18, 2012 by hgpu

Theoretical and Numerical Analysis of Three Approaches to the GPGPU Application of the Explicit FDTD Method

Aude Giraud

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Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, Numerical Analysis, nVidia, Tesla T10, Thesis

December 18, 2012 by hgpu

Accelerating Haskell Array Codes with Algorithmic Skeletons on GPUs

Sean Youngsung Lee

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla S1070, Thesis

December 18, 2012 by hgpu

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

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

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high performance computing on graphics processing units: hgpu.org

Parallelisation of Shallow Water Simulation for Heterogeneous Architectures

Theoretical and Numerical Analysis of Three Approaches to the GPGPU Application of the Explicit FDTD Method

Accelerating Haskell Array Codes with Algorithmic Skeletons on GPUs

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

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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