high performance computing on graphics processing units: hgpu.org

Theses

hgpu.org » Applications

Modeling and Optimization of Parallel Matrix-based Computations on GPU

Andrew White

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Tags: Computer science, CUDA, Matrix multiplication, nVidia, Optimization, Tesla S1070, Thesis

April 27, 2013 by hgpu

Accelerating Population Balance Model-based particulate process simulations via parallel computing

Anuj Varghese Prakash

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Tags: Biochemistry, Chemistry, Computer science, CUDA, Distributed computing, nVidia, nVidia GeForce GTX 280, Thesis

April 26, 2013 by hgpu

Modeling the spatio-temporal evolution of fracture networks and fluid-rock interactions in GPU: Applications to lithospheric geodynamics

Boris Galvan

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Tags: CUDA, Diffusion equation, Earth and Space Sciences, Finite difference, Geoscience, nVidia, nVidia GeForce GTX 590, Thesis

April 25, 2013 by hgpu

Directive-based Approach to Heterogeneous Computing

Ruyman Reyes Castro

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenACC, OpenCL, Package, Python, Tesla C1060, Thesis

April 25, 2013 by hgpu

A General-Purpose GPU Reservoir Computer

Tureiti Keith

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 480, Thesis

April 22, 2013 by hgpu

Programming Models and Runtimes for Heterogeneous Systems

Max Grossman

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Tesla C2050, Tesla M2050, Thesis

April 22, 2013 by hgpu

Connecting Architecture, Fitness, Optimizations and Performance using an Anisotropic Diffusion Filter

Sumedh Naik

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Tags: ATI Radeon HD 5870, Computer science, CUDA, Filtering, Image processing, MPI, nVidia, OpenCL, Tesla C2050, Thesis

April 22, 2013 by hgpu

GPU Accelerated Face Detection (thesis)

Jussi Makela

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, OpenCL, Thesis

April 17, 2013 by hgpu

Modeling of High Performance Programs to Support Heterogeneous Computing

Ferosh Jacob

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Tags: Computer science, CUDA, Heterogeneous systems, MapReduce, nVidia, OpenCL, Software Engineering, Tesla M2070, Thesis

April 9, 2013 by hgpu

Scaling up scientific computations by using map-reduce-like control flow on NUMA architectures

Vlad Slavici

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Tags: Algorithms, Chemistry, Computational chemistry, CUDA, MapReduce, Matrix multiplication, nVidia, Tesla M2090, Thesis

April 3, 2013 by hgpu

High Performance Computing using GPGPU’s

Omar Usman Khan

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Tags: Electrodynamics, FFT, nVidia, nVidia GeForce GTX 260, OpenCL, Package, Thesis

March 29, 2013 by hgpu

Accelerating Graph Analysis with Heterogeneous Systems

Ate Penders

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Tags: Algorithms, Computer science, Graph theory, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL, Tesla C2050, Thesis

March 29, 2013 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

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high performance computing on graphics processing units: hgpu.org

Theses

Modeling and Optimization of Parallel Matrix-based Computations on GPU

Accelerating Population Balance Model-based particulate process simulations via parallel computing

Modeling the spatio-temporal evolution of fracture networks and fluid-rock interactions in GPU: Applications to lithospheric geodynamics

Directive-based Approach to Heterogeneous Computing

A General-Purpose GPU Reservoir Computer

Programming Models and Runtimes for Heterogeneous Systems

Connecting Architecture, Fitness, Optimizations and Performance using an Anisotropic Diffusion Filter

GPU Accelerated Face Detection (thesis)

Modeling of High Performance Programs to Support Heterogeneous Computing

Scaling up scientific computations by using map-reduce-like control flow on NUMA architectures

High Performance Computing using GPGPU’s

Accelerating Graph Analysis with Heterogeneous Systems

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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