high performance computing on graphics processing units: hgpu.org

Applications

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Implementation of a Power Efficient Synthetic Aperture Radar Back Projection Algorithm on FPGAs Using OpenCL

David Fan

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Tags: Algorithms, FPGA, Heterogeneous systems, nVidia, OpenCL, SAR, Signal processing, Tesla K40, Thesis

October 18, 2015 by hgpu

Density-based parallel skin lesion border detection with webCL

James Lemon, Sinan Kockara, Tansel Halic, Mutlu Mete

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Tags: Algorithms, Bioinformatics, Clustering, Heterogeneous systems, Image processing, Java, OpenCL

October 16, 2015 by hgpu

Comparison of Thread Execution Methods for GPU-oriented OpenCL Programs on Multicore Processors

Naohisa Hojo, Ittetsu Taniguchi, Hiroyuki Tomiyama

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Tags: Benchmarking, Computer science, OpenCL, Performance

October 16, 2015 by hgpu

Sapporo2: A versatile direct N-body library

Jeroen Bedorf, Evghenii Gaburov, Simon Portegies Zwart

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Source codes

Tags: Astrophysics, ATI, ATI Radeon HD 7970, CUDA, Instrumentation and Methods for Astrophysics, Mathematical Software, N-body simulation, nVidia, nVidia GeForce GTX 680, OpenCL, Package, Tesla K20

October 16, 2015 by hgpu

Multi-dimensional Functional Principal Component Analysis

Lu-Hung Chen, Ci-Ren Jiang

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Tags: FFT, nVidia, nVidia GeForce GTX 980, nVidia Quadro K600, OpenACC, Statistics

October 16, 2015 by hgpu

A progressive mesh method for physical simulations using lattice Boltzmann method on single-node multi-gpu architectures

Julien Duchateau, Francois Rousselle, Nicolas Maquignon, Gilles Roussel, Christophe Renaud

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Tags: Algorithms, CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, Tesla C2050

October 16, 2015 by hgpu

A Hybrid CPU/GPU Pattern-Matching Algorithm for Deep Packet Inspection

Chun-Liang Lee, Yi-Shan Lin, Yaw-Chung Chen

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Tags: Algorithms, Computer science, CUDA, Filtering, nVidia, nVidia GeForce GTX 680, Security

October 13, 2015 by hgpu

Adaptive Simulation of Large-Scale Ocean Surface

Filip Krijt

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Tags: CUDA, DirectX, Fluid dynamics, HLSL, nVidia GeForce GTX 760, Tessellation, Thesis

October 13, 2015 by hgpu

Accelerating Applications with Pattern-specific Optimizations on Accelerators and Coprocessors

Linchuan Chen

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Tags: Computer science, CUDA, Heterogeneous systems, MapReduce, Matrix multiplication, MPI, nVidia, Sparse matrix, Task scheduling, Tesla M2070, Thesis

October 13, 2015 by hgpu

Optimal Piecewise Linear Function Approximation for GPU-based Applications

Daniel Berjon, Guillermo Gallego, Carlos Cuevas, Francisco Moran, Narciso Garcia

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Tags: Computer science, Computer vision, CUDA, Numerical Analysis, nVidia, nVidia GeForce GTX 580

October 13, 2015 by hgpu

Fast and Accurate Poisson Denoising with Optimized Nonlinear Diffusion

Wensen Feng, Yunjin Chen

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Tags: CNN, Computer science, Computer vision, Microscopy, nVidia, nVidia GeForce GTX 780 Ti, Signal denoising

October 13, 2015 by hgpu

GPU Accelarated Multi-Block Lattice Boltzmann Solver for Viscous Flow Problems

Gregorio Gerardo Spinelli, Bayram Celik

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia

October 11, 2015 by hgpu

Allo: Accelerator Design Language

Dato: A Task-Based Programming Model for Dataflow Accelerators

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

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high performance computing on graphics processing units: hgpu.org

Applications

Implementation of a Power Efficient Synthetic Aperture Radar Back Projection Algorithm on FPGAs Using OpenCL

Density-based parallel skin lesion border detection with webCL

Comparison of Thread Execution Methods for GPU-oriented OpenCL Programs on Multicore Processors

Sapporo2: A versatile direct N-body library

Multi-dimensional Functional Principal Component Analysis

A progressive mesh method for physical simulations using lattice Boltzmann method on single-node multi-gpu architectures

A Hybrid CPU/GPU Pattern-Matching Algorithm for Deep Packet Inspection

Adaptive Simulation of Large-Scale Ocean Surface

Accelerating Applications with Pattern-specific Optimizations on Accelerators and Coprocessors

Optimal Piecewise Linear Function Approximation for GPU-based Applications

Fast and Accurate Poisson Denoising with Optimized Nonlinear Diffusion

GPU Accelarated Multi-Block Lattice Boltzmann Solver for Viscous Flow Problems

Recent source codes

Allo: Accelerator Design Language

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

HPC Benchmark Survey

HDM: Home made Diffusion Models

General Matrix Multiplication (GEMM)

CrossTL: Universal Programming Language & Translator

TBD-GPU

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

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