high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

GPU Implementation of the Particle Filter

Joakim Gebart

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Tags: Algorithms, Computer science, CUDA, Filtering, nVidia, nVidia GeForce GTX 570, Particle filtering, Pseudo-random number generators, Thesis

June 24, 2013 by hgpu

Integrating Two-Way Interaction Between Fluids and Rigid Bodies in the Real-Time Particle Systems Library

Andrew Stephen Young

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Tags: CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 480, Rendering, Thesis

June 24, 2013 by hgpu

A Visual Approach to Investigating Shared and Global Memory Behavior of CUDA Kernels

Paul Rosen

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Performance, Wavelet

June 24, 2013 by hgpu

An Energy Efficient GPGPU Memory Hierarchy with Tiny Incoherent Caches

Alamelu Sankaranarayanan, Ehsan K. Ardestani, Jose Luis Briz, Jose Renau

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Tags: Computer science, CUDA, Energy-efficient computing, GPGPU-sim, Memory, nVidia, OpenCL

June 24, 2013 by hgpu

Provably Efficient GPU Algorithms

Nodari Sitchinava, Volker Weichert

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Performance, Sorting

June 24, 2013 by hgpu

Non-Uniformly Partitioned Block Convolution on Graphics Processing Units

Maryam Sadreddini

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Tags: Algorithms, Computational Complexity, Computer science, nVidia, nVidia GeForce GTX 560 Ti, OpenCL, Thesis

June 23, 2013 by hgpu

GPU Implementation of the DP code

F. Sottile, C. Roedl, V. Slavnic, P. Jovanovic, D. Stankovic, P. Kestener, F. Houssen

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Tags: Computer science, CUBLAS, CUDA, nVidia, Tesla M2090

June 23, 2013 by hgpu

CUDA Enhanced Simulated Annealing for Chip Layout Problem

David Macurak, Jeffrey Raynor, Michael Sodomsky

Tags: Algorithms, Computer science, CUDA, nVidia, OpenGL, Tesla M2050

June 22, 2013 by hgpu

Exploring GPGPUs Workload Characteristics and Power Consumption

Sohan Lal, Jan Lucas, Mauricio Alvarez-Mesa, Ahmed Elhossini, Ben Juurlink

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Tags: Computer science, CUDA, Energy-efficient computing, GPGPU-sim, nVidia, nVidia GeForce GTX 580, Performance

June 22, 2013 by hgpu

Virtualization and Migration with GPGPUs

Mathias Gottschlag

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Tags: Cloud, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Thesis, Virtualization

June 22, 2013 by hgpu

GPU Optimized Code for Long Term Simulations of Beam-beam Effects in Colliders

Y. Roblin, V. Morozov, B. Terzic, M. Aturban, D. Ranjan, M. Zubair

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Tags: CUDA, High Energy Physics - Experiment, nVidia, Physics, Tesla M2090

June 21, 2013 by hgpu

Parallel Language Programming In Different Platforms

Pau Vila Fernández

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Tags: Computer science, CUDA, OpenACC, OpenCL, Programming Languages, Thesis

June 21, 2013 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

GPU Implementation of the Particle Filter

Integrating Two-Way Interaction Between Fluids and Rigid Bodies in the Real-Time Particle Systems Library

A Visual Approach to Investigating Shared and Global Memory Behavior of CUDA Kernels

An Energy Efficient GPGPU Memory Hierarchy with Tiny Incoherent Caches

Provably Efficient GPU Algorithms

Non-Uniformly Partitioned Block Convolution on Graphics Processing Units

GPU Implementation of the DP code

CUDA Enhanced Simulated Annealing for Chip Layout Problem

Exploring GPGPUs Workload Characteristics and Power Consumption

GPU Optimized Code for Long Term Simulations of Beam-beam Effects in Colliders

Parallel Language Programming In Different Platforms

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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