high performance computing on graphics processing units: hgpu.org

Theses

hgpu.org » Applications

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

A Data-Parallel Graphics Pipeline Implemented in OpenCL

Joel Ek

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Tags: Computer science, Filtering, OpenCL, Rasterization, Rendering, Thesis

December 5, 2012 by hgpu

FusionSim: Characterizing the Performance Benefits of Fused CPU/GPU Systems

Vitaly Zakharenko

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Source codes

Tags: AMD Fusion, Analytical model, Benchmarking, Computer science, Package, Performance, Thesis

December 4, 2012 by hgpu

Applying Contact Angle to a Two-Dimensional Smoothed Particle Hydrodynamics (SPH) model on a Graphics Processing Unit (GPU) Platform

Amirsaman Farrokhpanah

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Tags: Analytical model, CUDA, Fluid dynamics, nVidia, Thesis

November 28, 2012 by hgpu

From Parallel Programs to Customized Parallel Processors

Pekka Jaaskelainen

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Tags: Algorithms, Compilers, Computer science, FPGA, High-level Languages, nVidia, nVidia GeForce 9400, OpenCL, Thesis

November 27, 2012 by hgpu

Acceleration of Hardware Testing and Validation Algorithms using Graphics Processing Units

Min Li

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Tags: Algorithms, Computer science, CUDA, Electronic design automation, Fault simulation, nVidia, nVidia GeForce GTX 285, Thesis

November 25, 2012 by hgpu

Enhancing and Porting the HPC-Lab Snow Simulator to OpenCL on Mobile Platforms

Frederik Magnus Johansen Vestre

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6490 M, Computer science, nVidia, nVidia GeForce GTX 560 Ti, OpenCL, Sorting, Thesis

November 24, 2012 by hgpu

Auto-tuning on the macro scale: high level algorithmic auto-tuning for scientific applications

Cy P Chan

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Tags: Algorithms, Code generation, Computer science, nVidia, nVidia GeForce GTX 280, Optimization, Thesis

November 23, 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

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

A Data-Parallel Graphics Pipeline Implemented in OpenCL

FusionSim: Characterizing the Performance Benefits of Fused CPU/GPU Systems

Applying Contact Angle to a Two-Dimensional Smoothed Particle Hydrodynamics (SPH) model on a Graphics Processing Unit (GPU) Platform

From Parallel Programs to Customized Parallel Processors

Acceleration of Hardware Testing and Validation Algorithms using Graphics Processing Units

Enhancing and Porting the HPC-Lab Snow Simulator to OpenCL on Mobile Platforms

Auto-tuning on the macro scale: high level algorithmic auto-tuning for scientific applications

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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