high performance computing on graphics processing units: hgpu.org

Theses

hgpu.org » Applications

Generative programming methods for parallel partial differential field equation solvers

Daniel Peter Playne

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Tags: Code generation, Computer science, CUDA, Field equations, MPI, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Tesla C2050, Thesis

December 22, 2011 by hgpu

A Normalized Particle Swarm Optimization Algorithm to Price Complex Chooser Option and Accelerating its Performance with GPU

Bhanu Pratap Sharma

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Tags: Algorithms, Computational finance, CUDA, Finance, nVidia, nVidia GeForce GTX 450, nVidia GeForce GTX 550 Ti, Thesis

December 21, 2011 by hgpu

Can CUDA be exposed through web services?

Massimo Becker

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Tags: Computer science, CUDA, Networks, nVidia, OpenCL, Overview, Thesis

December 20, 2011 by hgpu

Optimization of mapped functions sequences using fusions on GPU

Jan Fousek

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Tags: Algorithms, Computer science, CUDA, MPI, nVidia, nVidia GeForce GTX 480, Optimization, Thesis

December 19, 2011 by hgpu

GPU-based Implementation of the Variational Path Integral Method

Shanthan Mudhasan

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Tags: Algorithms, CUDA, Data parallelism, nVidia, nVidia Quadro FX 3800, Physics, QMC, Thesis

December 19, 2011 by hgpu

Efficient Computational Methods for Uncertainty Quantification of Large Systems

Gaurav Gaurav

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Tags: Computer science, CUDA, Nonlinear analysis, nVidia, Tesla C1060, Thesis

December 18, 2011 by hgpu

Efficient data structures for piecewise-smooth video processing

Jiawen Chen

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Tags: Algorithms, Image processing, nVidia, nVidia GeForce 6800 GT, nVidia GeForce 7800 GT, nVidia GeForce 8800 GTX, Thesis

December 18, 2011 by hgpu

Parallel paradigms in optimal structural design

Van Huyssteen, Salomon Stephanus

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, OpenCL, Optimization, Thesis

December 18, 2011 by hgpu

Customizable Memory Schemes for Data Parallel Accelerators

Chunyang Gou

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Tags: Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 280, Performance, Programming techniques, Thesis

December 17, 2011 by hgpu

Algorithms acceleration of pattern-matching in multi-core architectures

David Rodenas Pico

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GT 430, nVidia GeForce GTX 320 M, Thesis

December 16, 2011 by hgpu

Optimizing for a Many-Core Architecture without Compromising Ease-of-Programming

Uzi Vishkin, Rajeev Barua

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Tags: Algorithms, Benchmarking, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Optimization, Prefetch, Rendering, Thesis

December 16, 2011 by hgpu

Implementation and Evaluation of Scientific Simulations on High Performance Computing Architectures

Bibrak Qamar, Jahanzeb Maqbool

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Tags: Algorithms, CUDA, Finance, Fluid dynamics, Numerical Analysis, nVidia, nVidia GeForce GTX 480, Review, Thesis, Visualization

December 16, 2011 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

Generative programming methods for parallel partial differential field equation solvers

A Normalized Particle Swarm Optimization Algorithm to Price Complex Chooser Option and Accelerating its Performance with GPU

Can CUDA be exposed through web services?

Optimization of mapped functions sequences using fusions on GPU

GPU-based Implementation of the Variational Path Integral Method

Efficient Computational Methods for Uncertainty Quantification of Large Systems

Efficient data structures for piecewise-smooth video processing

Parallel paradigms in optimal structural design

Customizable Memory Schemes for Data Parallel Accelerators

Algorithms acceleration of pattern-matching in multi-core architectures

Optimizing for a Many-Core Architecture without Compromising Ease-of-Programming

Implementation and Evaluation of Scientific Simulations on High Performance Computing Architectures

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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