high performance computing on graphics processing units: hgpu.org

Xavier Andrade, Joseba Alberdi-Rodriguez, David A. Strubbe, Micael J. T. Oliveira, Fernando Nogueira, Alberto Castro, Javier Muguerza, Agustin Arruabarrena, Steven G. Louie, Alan Aspuru-Guzik, Angel Rubio, Miguel A. L. Marques

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Tags: ATI, ATI Radeon HD 5870, Density-functional theory, nVidia, nVidia GeForce GTX 480, OpenCL, Package, Physics

April 12, 2012 by hgpu

Efficient computational noise in GLSL

Ian McEwan, David Sheets, Stefan Gustavson, Mark Richardson

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Tags: 3D Graphics and Realism, ATI, ATI Radeon HD 3650, ATI Radeon HD 4850, ATI Radeon HD 5870, Computer science, GLSL, nVidia, nVidia GeForce 7600 GS, nVidia GeForce GTX 260, nVidia GeForce GTX 480, nVidia GeForce GTX 580, OpenGL, Package

April 9, 2012 by hgpu

Multicore Processing for Clustering Algorithms

RekhanshRao, Kapil Kumar Nagwanshi, SipiDubey

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Clustering, Computer science, Data mining, nVidia, OpenCL

March 29, 2012 by hgpu

Dynamic Translation of Runtime Environments for Heterogeneous Computing

Rodrigo Dominguez

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Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, Design space exploration, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTX, OpenCL, Thesis

March 27, 2012 by hgpu

Characterizing and Evaluating a Key-value Store Application on Heterogeneous CPU-GPU Systems

Tayler H. Hetherington, Timothy G. Rogers, Lisa Hsu, Mike O'Connor, Tor M. Aamodt

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6310, ATI Radeon HD 6550, Computer science, Databases, Heterogeneous systems, OpenCL

February 11, 2012 by hgpu

Towards High Speed Aerial Tracking of Agile Targets

Yassir Rizwan

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Tags: ATI, ATI Radeon HD 5870, Computer vision, Data acquisition, Earth and Space Sciences, OpenCL, Thesis

February 6, 2012 by hgpu

Evaluation and enhancement of memory efficiency targeting general-purpose computations on scalable data-parallel GPU architectures

Byunghyun Jang

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Benchmarking, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, OpenCL, Optimization, Thesis

January 18, 2012 by hgpu

On-the-Fly Computing on Many-Core Processors in Nuclear Applications

Noriyuki Kushida

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Tags: ATI, ATI Radeon HD 5870, Cell processor, Finite difference, Optimization, Physics, Plasma physics

January 7, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Medical Image Registration using OpenCL

An Overview of Selected Hybrid and Reconfigurable Architectures

Multicore Processing for Classification and Clustering Algorithms

Auto-tuning interactive ray tracing using an analytical GPU architecture model

TDDFT in massively parallel computer architectures: the OCTOPUS project

Efficient computational noise in GLSL

Multicore Processing for Clustering Algorithms

Dynamic Translation of Runtime Environments for Heterogeneous Computing

Characterizing and Evaluating a Key-value Store Application on Heterogeneous CPU-GPU Systems

Towards High Speed Aerial Tracking of Agile Targets

Evaluation and enhancement of memory efficiency targeting general-purpose computations on scalable data-parallel GPU architectures

On-the-Fly Computing on Many-Core Processors in Nuclear Applications

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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