high performance computing on graphics processing units: hgpu.org

Theses

hgpu.org » Applications

High performance histogramming on massively parallel processors

Wen-Mei Hwu

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Tags: Computer science, Computer vision, CUDA, Databases, Machine learning, nVidia, nVidia GeForce GTX 570, nVidia GeForce GTX 780, Thesis

September 20, 2014 by hgpu

Parallel Hierarchical Clustering on the GPU

Ursula Reiterer

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Tags: Algorithms, Clustering, Computer science, nVidia, nVidia GeForce GT 650 M, OpenCL, PTX, Thesis

September 20, 2014 by hgpu

Interactive Ray Tracing with Data Locality Optimizations

Sebastian Mayr

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Tags: Algorithms, ATI, ATI Radeon HD 5650 M, Computer science, nVidia, nVidia GeForce GT 520, OpenCL, Raytracing, Rendering, Thesis

September 20, 2014 by hgpu

Parallel Primitive Optimization for GPU and Multicore

Andreas Hormandinger

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Tags: ATI, ATI Radeon HD 6970, Code generation, Computer science, OpenCL, Thesis

September 20, 2014 by hgpu

On the evaluation of matrix polynomials using several GPGPUs

Pedro Alonso, Murilo Boratto, J. Peinado, J. Ibanez, Jorge Sastre

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Tags: Algorithms, Computer science, CUBLAS, CUDA, Heterogeneous systems, nVidia, Tesla K20, Thesis

September 20, 2014 by hgpu

Supporting Applications Involving Dynamic Data Structures and Irregular Memory Access on Emerging Parallel Platforms

Bin Ren

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Tags: Algorithms, Computer science, CUDA, Intel Xeon Phi, Memory model, nVidia, nVidia Quadro FX 5800, Prefetch, Tesla C2050, Thesis

September 19, 2014 by hgpu

A Software Framework for the Detection and Classification of Biological Targets in Bio-Nano Sensing

Abdul Hafeez

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Tags: Biology, Biophysics, CUDA, Distributed computing, Filtering, nVidia, nVidia Quadro FX 580, Sensing, Thesis

September 19, 2014 by hgpu

GPU Accelerated Parallel Iris Segmentation

Kritika Kurani

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Tags: Algorithms, Biometrics, CUDA, Image processing, nVidia, nVidia Quadro 1000 M, Thesis

September 17, 2014 by hgpu

Interactive Wave Simulations

Akash Mittal

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Tags: CUDA, Fluid dynamics, Fluid simulation, nVidia, Review, Thesis, Visualization

September 15, 2014 by hgpu

Scalable Parallel Tridiagonal Algorithms with Diagonal Pivoting and Their Optimization for Many-Core Architectures

Li-Wen Chang

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Tesla C2050, Thesis

September 15, 2014 by hgpu

Analysis of GPU-based convolution for acoustic wave propagation modeling with finite differences: Fortran to CUDA-C step-by-step

Makoto Sadahiro

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Tags: Acoustics, CUDA, Finite difference, Fortran, nVidia, Physics, Tesla K20, Thesis

September 13, 2014 by hgpu

Performance and Power Optimization of GPU Architectures for General-purpose Computing

Yue Wang

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Tags: Computer science, CUDA, GPGPU-sim, Heterogeneous systems, nVidia, Thesis

September 13, 2014 by hgpu

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

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high performance computing on graphics processing units: hgpu.org

Theses

High performance histogramming on massively parallel processors

Parallel Hierarchical Clustering on the GPU

Interactive Ray Tracing with Data Locality Optimizations

Parallel Primitive Optimization for GPU and Multicore

On the evaluation of matrix polynomials using several GPGPUs

Supporting Applications Involving Dynamic Data Structures and Irregular Memory Access on Emerging Parallel Platforms

A Software Framework for the Detection and Classification of Biological Targets in Bio-Nano Sensing

GPU Accelerated Parallel Iris Segmentation

Interactive Wave Simulations

Scalable Parallel Tridiagonal Algorithms with Diagonal Pivoting and Their Optimization for Many-Core Architectures

Analysis of GPU-based convolution for acoustic wave propagation modeling with finite differences: Fortran to CUDA-C step-by-step

Performance and Power Optimization of GPU Architectures for General-purpose Computing

Recent source codes

OpScanner

Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

transformers_tvm: Implementation of Encoder Decoder transformer on TVM

INT v.s. FP: A framework to compare low-bit integer and float-point formats

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

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