high performance computing on graphics processing units: hgpu.org

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Medusa: Simplified Graph Processing on GPUs

Jianlong Zhong, Bingsheng He

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Optimization, Performance, Tesla C2050

September 12, 2012 by hgpu

A First Step Towards GPU-assisted Query Optimization

Max Heimel, Volker Markl

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Tags: Computer science, Databases, nVidia, nVidia GeForce GTX 460, OpenCL, Optimization, Package

September 11, 2012 by hgpu

Multi-Moment Methods for PDEs and GPUs for Large-Scale Scientific Computations

Sarah Amalie King

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Tags: Algorithms, CUDA, Differential equations, Mathematics, nVidia, nVidia GeForce GT 640 M, Optimization, Partial differential equations, PDEs, Tesla C2050, Thesis

September 7, 2012 by hgpu

Optimization Techniques for CUDA Application

Tushar Athawale, Xie Xu

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Tags: Computer science, CUDA, Matrix multiplication, nVidia, Optimization, Performance

August 28, 2012 by hgpu

A Unified Optimizing Compiler Framework for Different GPGPU Architectures

Yi Yang, Ping Xiang, Jingfei Kong, Mike Mantor, Huiyang Zhou

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Tags: ATI, ATI Radeon HD 5870, Compilers, Computer science, CUBLAS, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, OpenCL, Optimization, Package, Programming Languages

August 27, 2012 by hgpu

Perceptually Optimized Real-Time Computer Graphics

Jeffrey Smith

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Tags: ATI, ATI Radeon HD 7970, Collision detection, Computer science, OpenCL, Optimization, Raytracing, Thesis

August 27, 2012 by hgpu

GPU Accelerated Nonlinear Optimization in Radio Interferometric Calibration

Sarod Yatawatta, Sanaz Kazemi, Saleem Zaroubi

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Tags: Algorithms, Astrophysics, CUBLAS, CUDA, Linear Algebra, Nonlinear optimization, nVidia, Optimization, Tesla M1060

August 26, 2012 by hgpu

Coding Ants: Using Ant Colony Optimization to Accelerate CT Reconstruction

Eric Papenhausen, Ziyi Zheng, Klaus Mueller

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Optimization

August 22, 2012 by hgpu

A GPU-accelerated Branch-and-Bound Algorithm for the Flow-Shop Scheduling Problem

Melab Nouredine, Imen Chakroun, Mezmaz Mohand, Daniel Tuyttens

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Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, Tesla C2050

August 20, 2012 by hgpu

Nonmetric Priors for Continuous Multilabel Optimization

Evgeny Strekalovskiy, Claudia Nieuwenhuis, Daniel Cremers

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 480, Optimization

August 17, 2012 by hgpu

Efficient GPU implementation of parameter estimation of a statistical model for online advertisement optimization

Albin Lindback

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Tags: Computer science, CUDA, Finance, nVidia, nVidia GeForce GTX 570, Optimization, Thesis

August 16, 2012 by hgpu

A New Cooperative Evolutionary Multi-Swarm Optimizer Algorithm Based on CUDA Parallel Architecture Applied to Solve Engineering Optimization Problems

Daniel Leal Souza, Otavio Noura Teixeira, Dionne Cavalcante Monteiro, Roberto Celio Limao de Oliveira

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 330 M, Optimization, Particle swarm optimization

August 15, 2012 by hgpu

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

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

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high performance computing on graphics processing units: hgpu.org

Medusa: Simplified Graph Processing on GPUs

A First Step Towards GPU-assisted Query Optimization

Multi-Moment Methods for PDEs and GPUs for Large-Scale Scientific Computations

Optimization Techniques for CUDA Application

A Unified Optimizing Compiler Framework for Different GPGPU Architectures

Perceptually Optimized Real-Time Computer Graphics

GPU Accelerated Nonlinear Optimization in Radio Interferometric Calibration

Coding Ants: Using Ant Colony Optimization to Accelerate CT Reconstruction

A GPU-accelerated Branch-and-Bound Algorithm for the Flow-Shop Scheduling Problem

Nonmetric Priors for Continuous Multilabel Optimization

Efficient GPU implementation of parameter estimation of a statistical model for online advertisement optimization

A New Cooperative Evolutionary Multi-Swarm Optimizer Algorithm Based on CUDA Parallel Architecture Applied to Solve Engineering Optimization Problems

Recent source codes

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

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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