high performance computing on graphics processing units: hgpu.org

Theses

hgpu.org » Applications

Massive parallelization of combinatorial statistical genetics analyses porting machine learning methods on general purpose graphics processing units (GPU)

Tony Kam-Thong

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Tags: Biology, CUDA, Genetics, Machine learning, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 580, Package, Thesis

September 16, 2012 by hgpu

On the Validation and Applications of a Parallel Flexible Multi-Body Dynamics Implementation

Daniel J. Melanz

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Tesla C2070, Thesis

September 14, 2012 by hgpu

Accelerating Sparse Matrix Kernels on Graphics Processing Units

Kiran Kumar Matam

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Tags: Algorithms, Computer science, CUDA, Matrix multiplication, nVidia, Sparse matrix, Tesla C1060, Tesla C2050, Thesis

September 14, 2012 by hgpu

Mapping a Dataflow Programming Model onto Heterogeneous Architectures

Alina Sbirlea

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia Quadro FX 580, Tesla C1060, Thesis

September 12, 2012 by hgpu

Multi-Moment Methods for PDEs and GPUs for Large-Scale Scientific Computations

Sarah Amalie King

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Tags: Algorithms, CUDA, Differential equations, Mathematics, nVidia, nVidia GeForce GT 640 M, Optimization, Partial differential equations, PDEs, Tesla C2050, Thesis

September 7, 2012 by hgpu

Architectural Analysis and Performance Characterization of NVIDIA GPUs using Microbenchmarking

Saktheesh Subramoniapillai Ajeetha

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, Performance, Tesla C2050, Thesis

September 6, 2012 by hgpu

GPU-accelerated Fourier-continuation solvers and physically exact computational boundary conditions for wave scattering problems

Timothy James Elling

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Tags: Algorithms, CUDA, Finite difference, Integral equations, nVidia, Physics, Tesla C1060, Thesis

September 5, 2012 by hgpu

Computational Modelling of Galaxy Formation using FLAME GPU

Laurence William James

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Tags: Astrophysics, Computational modelling, CUDA, N-body simulation, nVidia, nVidia GeForce GTX 285, Package, Physics, Python, Thesis

September 4, 2012 by hgpu

Towards large-scale network analytics

Xintian Yang

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Tags: Algorithms, Compression, Computer science, CUDA, Heterogeneous systems, nVidia, Tesla C1060, Thesis, Visualization

September 1, 2012 by hgpu

A Map-Reduce-Like System for Programming and Optimizing Data-Intensive Computations on Emerging Parallel Architectures

Wei Jiang

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Tags: Computer science, CUDA, Data mining, GPU cluster, Heterogeneous systems, MapReduce, MPI, nVidia, Tesla C2050, Thesis

September 1, 2012 by hgpu

Path Integral Approaches and Graphics Processing Unit Tools for Quantum Molecular Dynamics Simulations

Stephen Joel Constable

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Tags: Algorithms, Chemistry, CUDA, Molecular dynamics, nVidia, OpenCL, Thesis

August 30, 2012 by hgpu

Case Studies in Acceleration of Heston’s Stochastic Volatility Financial Engineering Model: GPU, Cloud and FPGA Implementations

Christos Delivorias

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Tags: Cloud, CUDA, Finance, FPGA, nVidia, Tesla K10, Thesis

August 30, 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

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high performance computing on graphics processing units: hgpu.org

Theses

Massive parallelization of combinatorial statistical genetics analyses porting machine learning methods on general purpose graphics processing units (GPU)

On the Validation and Applications of a Parallel Flexible Multi-Body Dynamics Implementation

Accelerating Sparse Matrix Kernels on Graphics Processing Units

Mapping a Dataflow Programming Model onto Heterogeneous Architectures

Multi-Moment Methods for PDEs and GPUs for Large-Scale Scientific Computations

Architectural Analysis and Performance Characterization of NVIDIA GPUs using Microbenchmarking

GPU-accelerated Fourier-continuation solvers and physically exact computational boundary conditions for wave scattering problems

Computational Modelling of Galaxy Formation using FLAME GPU

Towards large-scale network analytics

A Map-Reduce-Like System for Programming and Optimizing Data-Intensive Computations on Emerging Parallel Architectures

Path Integral Approaches and Graphics Processing Unit Tools for Quantum Molecular Dynamics Simulations

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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