high performance computing on graphics processing units: hgpu.org

hgpu.org » Applications » Computer science

Physically Based Rendering: Implementation of Path Tracer

Vinh Truong

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce GTX 560 Ti, OpenCL, OpenGL, Raytracing, Rendering, Thesis

May 20, 2015 by hgpu

Direct Communication Methods for Distributed GPUs

Lena Oden

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Tags: Algorithms, Cluster computing, Computer science, CUDA, Heterogeneous systems, MPI, nVidia, Thesis

April 25, 2015 by hgpu

GPU-based digital hologram reconstruction and particle detection

Daniel Benjamin Taylor

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Tags: Computer holography, Computer science, CUDA, nVidia, Tesla K20, Thesis

April 12, 2015 by hgpu

State Lattice-based Motion Planning for Autonomous On-Road Driving

Shuiying Wang

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Tags: Computer science, CUDA, nVidia, OpenGL, Path problems, Rendering, Thesis

April 7, 2015 by hgpu

OmpSs task offload

Florentino Sainz

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Tags: Computer science, CUDA, Heterogeneous systems, Intel Xeon Phi, MPI, nVidia, OpenCL, Tesla K20, Thesis

April 4, 2015 by hgpu

Reduction of a Symmetrical Matrix to Tridiagonal Form on GPUs

Shuotian Chen

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Tesla C2050, Tesla M2090, Thesis

April 4, 2015 by hgpu

Using OpenCL to Implement Median Filtering and RSA Algorithms: Two GPGPU Application Case Studies

Lukas Gillsjo

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Tags: Algorithms, ATI, ATI Radeon R9 280X, Computer science, Filtering, Image processing, nVidia, OpenCL, RSA, Security, Tesla M2050, Thesis

April 4, 2015 by hgpu

High Performance Computing for solving large sparse systems. Optical Diffraction Tomography as a case of study

Gloria Ortega Lopez

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Tags: Computer science, CUDA, Differential equations, FEM, Finite difference, Finite element method, GPU cluster, Heterogeneous systems, Linear Algebra, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 680, Package, Partial differential equations, PDEs, Sparse matrix, Tesla C2050, Tesla M2070, Tesla M2090, Thesis, Tomography

March 30, 2015 by hgpu

Curracurrong: a stream processing system for distributed environments

Vasvi Kakkad

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Tags: Algorithms, Computer science, CUDA, OpenCL, Thesis

March 23, 2015 by hgpu

Speeding Up Computer Vision Applications on Mobile Computing Platforms

Luna Backes

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Tags: Computer science, Computer vision, nVidia, OpenCL, Thesis

March 22, 2015 by hgpu

CUDA accelerated large scale vehicular area network simulator

Chok Meng Yip

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Tags: Computer science, CUDA, nVidia, Tesla C2075, Tesla K20, Thesis, Vehicular traffic

March 12, 2015 by hgpu

Runtime Compilation of Array-Oriented Python Programs

Alex Rubinsteyn

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

March 2, 2015 by hgpu

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Efficient deep learning inference on end devices

Ouroboros: Virtualized Queues for dynamic memory management

Dynamic Memory Management on GPUs with SYCL

MSCCL++: A GPU-driven communication stack for scalable AI applications

MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications

Benchmark compute shader of Unity against InteropUnityCUDA

InteropUnityCUDA: A Tool for Interoperability Between Unity and CUDA

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high performance computing on graphics processing units: hgpu.org

Theses

Physically Based Rendering: Implementation of Path Tracer

Direct Communication Methods for Distributed GPUs

GPU-based digital hologram reconstruction and particle detection

State Lattice-based Motion Planning for Autonomous On-Road Driving

OmpSs task offload

Reduction of a Symmetrical Matrix to Tridiagonal Form on GPUs

Using OpenCL to Implement Median Filtering and RSA Algorithms: Two GPGPU Application Case Studies

High Performance Computing for solving large sparse systems. Optical Diffraction Tomography as a case of study

Curracurrong: a stream processing system for distributed environments

Speeding Up Computer Vision Applications on Mobile Computing Platforms

CUDA accelerated large scale vehicular area network simulator

Runtime Compilation of Array-Oriented Python Programs

Recent source codes

SYCL Container

CASS: Cuda-Amd aSSembly

Cluser of smartphones for edge computing application using TensorFlow

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

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