high performance computing on graphics processing units: hgpu.org

Theses

hgpu.org » Applications

A computing origami: Optimized code generation for emerging parallel platforms

Hagiescu Miriste Andrei Mihai

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Tags: Code generation, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 8800 GTX, Optimization, Tesla S1070, Thesis

March 29, 2012 by hgpu

Accelerating the FDTD Method Using SSE and Graphics Processing Units

Matthew J. Livesey

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Tags: Computer science, CUDA, Data parallelism, FDTD, Finite-difference time-domain, nVidia, Tesla M2050, Tesla T10, Thesis

March 28, 2012 by hgpu

Accelerating Constraint Automata Composition with GPGPU Parallelization

Gunnar K. Vilbergsson

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 570, Thesis

March 27, 2012 by hgpu

Dynamic Translation of Runtime Environments for Heterogeneous Computing

Rodrigo Dominguez

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Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, Design space exploration, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTX, OpenCL, Thesis

March 27, 2012 by hgpu

Parallel Sparse Linear Algebra for Multi-core and Many-core Platforms: Parallel Solvers and Preconditioners

Dimitar Lukarski

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Tags: Algorithms, Computer science, CUDA, Differential equations, Factorization, FEM, Finite difference, Finite element method, Linear Algebra, nVidia, nVidia GeForce GTX 580, Partial differential equations, PDEs, Sparse matrix, Tesla M1060, Tesla S1070, Thesis

March 16, 2012 by hgpu

Developing a CUDA solver for large sparse matrices for MARIN

Martijn de Jong

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Tags: Computer science, CUDA, Mathematics, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 580, nVidia Quadro NVS 295, Thesis

March 16, 2012 by hgpu

Real-time execution of image change detection

Hugo van Lint

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Tags: Algorithms, CUDA, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GTX 480, Thesis

March 13, 2012 by hgpu

A Study of Real-Time Lighting Effects

Michele Christine Clark

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce GTX 460, OpenGL, Thesis

March 12, 2012 by hgpu

NUMA Data-Access Bandwidth Characterization and Modeling

Ryan Karl Braithwaite

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Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Performance, Tesla C2050, Tesla M2050, Thesis

March 11, 2012 by hgpu

GPU Path Tracing

Jincheng Li

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Thesis

March 11, 2012 by hgpu

Compiler Assisted Runtime Adaptation

Vlad-Mihai Sima

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Tags: Compilers, Computer science, DSP, FPGA, Heterogeneous systems, OpenCL, Optimization, Thesis

March 8, 2012 by hgpu

Synthesizing Software from a ForSyDe Model Targeting GPGPUs

Gabriel Hjort Blindell

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Tags: Computer science, CUDA, Data parallelism, nVidia, nVidia Quadro FX 600, nVidia Quadro NVS 290, Software Engineering, Thesis

March 6, 2012 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

See all packages

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high performance computing on graphics processing units: hgpu.org

Theses

A computing origami: Optimized code generation for emerging parallel platforms

Accelerating the FDTD Method Using SSE and Graphics Processing Units

Accelerating Constraint Automata Composition with GPGPU Parallelization

Dynamic Translation of Runtime Environments for Heterogeneous Computing

Parallel Sparse Linear Algebra for Multi-core and Many-core Platforms: Parallel Solvers and Preconditioners

Developing a CUDA solver for large sparse matrices for MARIN

Real-time execution of image change detection

A Study of Real-Time Lighting Effects

NUMA Data-Access Bandwidth Characterization and Modeling

GPU Path Tracing

Compiler Assisted Runtime Adaptation

Synthesizing Software from a ForSyDe Model Targeting GPGPUs

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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