high performance computing on graphics processing units: hgpu.org

Theses

hgpu.org » Applications

Fast Image Processing with Embedded Microprocessors

Guillermo Jesus Rafael Hernandez Gallegos

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Tags: Image processing, OpenCV, OpenGL, Thesis

July 27, 2013 by hgpu

GPU Parallel Algorithms for Reporting Movement Behaviour Patterns in Spatiotemporal Databases

Nacho Valladares Cereceda

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Tags: Algorithms, Computer science, CUDA, Data mining, Databases, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Thesis

July 27, 2013 by hgpu

Efficient Rendering of Scenes with Dynamic Lighting Using a Photons Queue and Incremental Update Algorithm

Guangfu Shi

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Tags: Computer science, CUDA, KD-tree, nVidia, nVidia Quadro K 2000 M, Raytracing, Rendering, Thesis

July 25, 2013 by hgpu

Implementation of Filtering Beamforming Algorithms for Sonar Devices Using GPU

Shahrokh Kamali

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Tags: CUDA, Filtering, nVidia, nVidia GeForce GTX 690, Signal processing, Thesis

July 24, 2013 by hgpu

Automatic Generation of FFT Libraries for GPU Platforms

Christos Angelopoulos

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 260, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Thesis

July 22, 2013 by hgpu

Image reconstruction in digital holographic microscopy on GPU

Andrej Krejcir

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Source codes

Tags: Algorithms, CUDA, Image processing, Image reconstruction, Microscopy, nVidia, nVidia GeForce GTX 470, Optimization, Package, Thesis

July 21, 2013 by hgpu

Bone Structure Analysis with GPGPUs

Daniel Kellenberger

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Tags: Algorithms, Medicine, nVidia, nVidia GeForce GTX 670, Tesla K20, Thesis

July 20, 2013 by hgpu

Parallel heterogeneous Branch and Bound algorithms for multi-core and multi-GPU environments

Imen Chakroun

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Tags: Algorithms, Computer science, CUDA, Distributed computing, Heterogeneous systems, nVidia, Tesla C2050, Thesis

July 17, 2013 by hgpu

Efficient algorithms for the realistic simulation of fluids

Jesus Ojeda Contreras

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Tags: Algorithms, CUDA, Fluid dynamics, Fluid simulation, Lattice Boltzmann model, nVidia, nVidia GeForce 9400 M, nVidia GeForce 9600 M GT, nVidia GeForce GTX 280, Thesis, Visualization

July 16, 2013 by hgpu

GPU Simulation of Radiation in Matter

Johannes Christof de Fine Licht

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Tags: CUDA, nVidia, nVidia GeForce GT 650 M, Physics, Thesis

July 13, 2013 by hgpu

Design Space Exploration of Real-time Bedside and Portable Medical Ultrasound Adaptive Beamformer Acceleration

Junying Chen

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Tags: Algorithms, CUDA, Design space exploration, FPGA, Medicine, nVidia, nVidia GeForce GTX 680, Thesis, Ultrasound

July 12, 2013 by hgpu

Scalable Techniques for Scheduling and Mapping DSP Applications onto Embedded Multiprocessor Platforms

George Zaki

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Tags: Algorithms, Code generation, Computational Engineering, CUDA, Data parallelism, DSP, Heterogeneous systems, nVidia, nVidia GeForce GTX 260, Signal processing, Thesis

July 12, 2013 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

See all packages

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high performance computing on graphics processing units: hgpu.org

Theses

Fast Image Processing with Embedded Microprocessors

GPU Parallel Algorithms for Reporting Movement Behaviour Patterns in Spatiotemporal Databases

Efficient Rendering of Scenes with Dynamic Lighting Using a Photons Queue and Incremental Update Algorithm

Implementation of Filtering Beamforming Algorithms for Sonar Devices Using GPU

Automatic Generation of FFT Libraries for GPU Platforms

Image reconstruction in digital holographic microscopy on GPU

Bone Structure Analysis with GPGPUs

Parallel heterogeneous Branch and Bound algorithms for multi-core and multi-GPU environments

Efficient algorithms for the realistic simulation of fluids

GPU Simulation of Radiation in Matter

Design Space Exploration of Real-time Bedside and Portable Medical Ultrasound Adaptive Beamformer Acceleration

Scalable Techniques for Scheduling and Mapping DSP Applications onto Embedded Multiprocessor Platforms

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

Most viewed papers (last 30 days)