high performance computing on graphics processing units: hgpu.org

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Parallel Computing Using GPU for Efficient Traffic Simulation

Sadat Sakif Ahmed

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 560, Thesis, Vehicular traffic

October 4, 2013 by hgpu

Advanced Optimization Techniques for Sparse Grids on Modern Heterogeneous Systems

Alin Florindor Murarasu

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, nVidia Quadro 6000, Thesis

October 4, 2013 by hgpu

GPU-accelerated triangle-triangle intersection tester algorithm

Romain Maffina

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 590, Tessellation, Thesis

October 3, 2013 by hgpu

Compiler Optimizations for SIMD/GPU/Multicore Architectures

Jun Liu

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Tags: Code generation, Compilers, Computer science, CUDA, Data parallelism, nVidia, Tesla C2050, Thesis

October 3, 2013 by hgpu

CUDA Enhanced Filtering in a Pipelined Video Processing Framework

Austin Aaron Dworaczyk Wiltshire

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Tags: CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 780, nVidia GeForce GTX Titan, Thesis

October 2, 2013 by hgpu

A state-of-the-art password strength analysis demonstrator

Nico van Heijningen

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 5970, ATI Radeon HD 6990, ATI Radeon HD 7970, Computer science, nVidia, nVidia GeForce GTX 670, OpenCL, Security, Thesis

October 2, 2013 by hgpu

GPU-Accelerated Real-Time Surveillance De-Weathering

Niklas Pettersson

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Tags: Computer science, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 680, Thesis

October 1, 2013 by hgpu

Optimizing Urban Environmental Simulations using Boinc

Aditya Vegesna

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Tags: Computer science, CUDA, Earth and Space Sciences, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 645, Thesis

September 29, 2013 by hgpu

Performance Improvement of Optical Algorithms on Multicore Platforms

Ratnakar Madan

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Tags: Algorithms, Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 580, Optics, Thesis

September 28, 2013 by hgpu

Large Graphs on multi-GPUs

Enrico Mastrostefano

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Tesla X2090, Thesis

September 25, 2013 by hgpu

Automatic Software Synthesis from High-Level ForSyDe Models Targeting Massively Parallel Processors

George Ungureanu

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Tags: Algorithms, Computer science, CUDA, Data parallelism, Heterogeneous systems, Image processing, nVidia, Thesis

September 25, 2013 by hgpu

Parallel multi-agent path planning in dynamic environments for real-time applications

Alexander Dooms

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti, Path problems, Thesis

September 24, 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

BoltzGen:Toward Universal Binder Design

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

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

Parallel Computing Using GPU for Efficient Traffic Simulation

Advanced Optimization Techniques for Sparse Grids on Modern Heterogeneous Systems

GPU-accelerated triangle-triangle intersection tester algorithm

Compiler Optimizations for SIMD/GPU/Multicore Architectures

CUDA Enhanced Filtering in a Pipelined Video Processing Framework

A state-of-the-art password strength analysis demonstrator

GPU-Accelerated Real-Time Surveillance De-Weathering

Optimizing Urban Environmental Simulations using Boinc

Performance Improvement of Optical Algorithms on Multicore Platforms

Large Graphs on multi-GPUs

Automatic Software Synthesis from High-Level ForSyDe Models Targeting Massively Parallel Processors

Parallel multi-agent path planning in dynamic environments for real-time 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

BoltzGen:Toward Universal Binder Design

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

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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