high performance computing on graphics processing units: hgpu.org

James Bergstra, Frederic Bastien, Olivier Breuleux, Pascal Lamblin, Razvan Pascanu, Olivier Delalleau, Guillaume Desjardins, David Warde-Farley, Ian Goodfellow, Arnaud Bergeron, Yoshua Bengio

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Tags: Algorithms, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Package, Python

January 16, 2012 by hgpu

A Fast Jet Finder Algorithm Using Graphic Processing Unit

Raman Sehgal, A. K. Mohanty

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Tags: Algorithms, CUDA, Jets, Nuclear physics, nVidia, nVidia GeForce GT 520, Physics

January 16, 2012 by hgpu

Data Triage and Visual Analytics for Scientific Visualization

Teng-Yok Lee

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Tags: Computer science, CUDA, GLSL, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, nVidia GeForce GTX 460, Thesis, Visualization

January 16, 2012 by hgpu

Feature Extraction and Visualization from Higher-Order CFD Data

Christian Azambuja Pagot

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Tags: CUDA, Flow analysis, Fluid dynamics, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 470, Thesis, Visualization

January 16, 2012 by hgpu

Parallel AES Encryption Engines for Many-Core Processor Arrays

Bin Liu, Bevan M. Baas

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Tags: AES, Computer science, DSP, nVidia, nVidia GeForce 8800 GTX, Security

January 16, 2012 by hgpu

Nested Intervals Tree Encoding with System of Residual Classes

A. Malikov, A. Turyev

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia

January 16, 2012 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

A Template Metaprogramming Approach to Support Parallel Programs for Multicores

Four-dimensional Cone Beam CT Reconstruction and Enhancement using a Temporal Non-Local Means Method

Finding Convex Hulls Using Quickhull on the GPU

Programming on Parallel Machines: GPU, Multicore, Clusters and More

A Modular System Architecture for Online Parallel Vision Pipelines

Fast Regularization of Matrix-Valued Images

Theano: Deep Learning on GPUs with Python

A Fast Jet Finder Algorithm Using Graphic Processing Unit

Data Triage and Visual Analytics for Scientific Visualization

Feature Extraction and Visualization from Higher-Order CFD Data

Parallel AES Encryption Engines for Many-Core Processor Arrays

Nested Intervals Tree Encoding with System of Residual Classes

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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