high performance computing on graphics processing units: hgpu.org

Mikhail Smelyanskiy, David Holmes, Jatin Chhugani, Alan Larson, Douglas M. Carmean, Dennis Hanson, Pradeep Dubey, Kurt Augustine, Daehyun Kim, Alan Kyker, Victor W. Lee, Anthony D. Nguyen, Larry Seiler, Richard Robb

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Tags: Computed tomography, CT, CUDA, Image processing, Larrabee, Medicine, nVidia, nVidia GeForce GTX 280, Rendering

November 23, 2010 by hgpu

hiCUDA: a high-level directive-based language for GPU programming

Tianyi D. Han, Tarek S. Abdelrahman

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GT

November 23, 2010 by hgpu

Acceleration of a QM/MM-QMC simulation using GPU

Tomoharu Terashima, Ryo Maezono

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Tags: Computational Physics, CUDA, nVidia, nVidia GeForce GTX 275, Physics, QMC

November 23, 2010 by hgpu

GPU-based cone beam computed tomography

Peter B. Noel, Alan M. Walczak, Jinhui Xu, Jason J. Corso, Kenneth R. Hoffmann, Sebastian Schafer

Tags: Computed tomography, CT, CUDA, Medicine, nVidia, nVidia GeForce GTX 280

November 22, 2010 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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high performance computing on graphics processing units: hgpu.org

Comparing GPU-based multi-volume ray casting techniques

Performance modeling and automatic ghost zone optimization for iterative stencil loops on GPUs

Many-core algorithms for statistical phylogenetics

Synergistic execution of stream programs on multicores with accelerators

Graphical Asian Options

Implementation of a Lattice Boltzmann kernel using the Compute Unified Device Architecture developed by nVIDIA

Efficient Probabilistic Model Checking on General Purpose Graphics Processors

Parallel computation of mutual information on the GPU with application to real-time registration of 3D medical images

Mapping High-Fidelity Volume Rendering for Medical Imaging to CPU, GPU and Many-Core Architectures

hiCUDA: a high-level directive-based language for GPU programming

Acceleration of a QM/MM-QMC simulation using GPU

GPU-based cone beam computed tomography

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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