high performance computing on graphics processing units: hgpu.org

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Exploring power efficiency and optimizations targeting heterogeneous applications

Yash Sanjeev Ukidave

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Tags: AMD Fusion, ATI, ATI Radeon HD 7770, Computer science, Energy-efficient computing, FFT, Heterogeneous systems, nVidia, nVidia GeForce GTX 680, OpenCL, Thesis

March 16, 2013 by hgpu

3D Modeling, Distance and Gradient Computation for Motion Planning: A Direct GPGPU Approach

Rene Wagner, Udo Frese, Berthold Bauml

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680

March 12, 2013 by hgpu

Solutions For Optimizing The Radix Sort Algorithmic Function Using The Compute Unified Device Architecture

Alexandru Pirjan, Dana-Mihaela Petrosanu

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 680, Sorting

March 7, 2013 by hgpu

Performance Upper Bound Analysis and Optimization of SGEMM on Fermi and Kepler GPUs

Junjie Lai, Andre Seznec

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Tags: Algorithms, Benchmarking, Computer science, CUBLAS, CUDA, nVidia, nVidia GeForce GTX 680, Optimization, Performance

February 22, 2013 by hgpu

GPU-based Motion Planning under Uncertainties using POMDP

Taekhee Lee, Young J. Kim

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Tags: Algorithms, Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 680

February 22, 2013 by hgpu

Developing Performance-Portable Molecular Dynamics Kernels in OpenCL

S. J. Pennycook, S. A. Jarvis

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Source codes

Tags: ATI, ATI FirePro V7800, ATI Radeon HD 6550, Benchmarking, Computer science, Molecular dynamics, nVidia, nVidia GeForce GTX 680, OpenCL, Package, Performance, Tesla C1060, Tesla C2050

February 14, 2013 by hgpu

An Implementation of Conflict-Free Offline Permutation on the GPU

Akihiko Kasagi, Koji Nakano, Yasuaki Ito

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Tags: Computer science, CUDA, Memory, Memory model, nVidia, nVidia GeForce GTX 680, Performance

February 6, 2013 by hgpu

A Multi-GPU Sources Reconstruction Method for Imaging Applications

Miguel Lopez-Portugues, Yuri Alvarez, Jesus A. Lopez-Fernandez, Cebrian Garcia, Rafael G. Ayestaran, Fernando Las-Heras

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Tags: CUDA, Electrodynamics, GPU cluster, nVidia, nVidia GeForce GTX 560, nVidia GeForce GTX 680, Signal processing

February 6, 2013 by hgpu

Regularization and nonlinearities for neural language models: when are they needed?

Marius Pachitariu, Maneesh Sahani

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Tags: CUDA, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 680, Statistics

January 25, 2013 by hgpu

Analytic Visibility on the GPU

T. Auzinger, M. Wimmer, S. Jescke

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 680, Rendering, Triangular meshes

January 16, 2013 by hgpu

Automatic scanning of nuclear emulsions with wide-angle acceptance for nuclear fragment detection

T. Fukuda, S. Fukunaga, H. Ishida, K. Kodama, T. Matsuo, S. Mikado, S. Ogawa, H. Shibuya, J. Sudo

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Tags: CUDA, High Energy Physics - Experiment, Nuclear Experiment, Nuclear physics, nVidia, nVidia GeForce GTX 680, Physics, Tesla C2050

January 11, 2013 by hgpu

Implementation of FDTD-Compatible Green’s Function on Heterogeneous CPU-GPU Parallel Processing System

Tomasz P. Stefanski

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Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, Heterogeneous systems, nVidia, nVidia GeForce GTX 680

January 8, 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

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high performance computing on graphics processing units: hgpu.org

Exploring power efficiency and optimizations targeting heterogeneous applications

3D Modeling, Distance and Gradient Computation for Motion Planning: A Direct GPGPU Approach

Solutions For Optimizing The Radix Sort Algorithmic Function Using The Compute Unified Device Architecture

Performance Upper Bound Analysis and Optimization of SGEMM on Fermi and Kepler GPUs

GPU-based Motion Planning under Uncertainties using POMDP

Developing Performance-Portable Molecular Dynamics Kernels in OpenCL

An Implementation of Conflict-Free Offline Permutation on the GPU

A Multi-GPU Sources Reconstruction Method for Imaging Applications

Regularization and nonlinearities for neural language models: when are they needed?

Analytic Visibility on the GPU

Automatic scanning of nuclear emulsions with wide-angle acceptance for nuclear fragment detection

Implementation of FDTD-Compatible Green’s Function on Heterogeneous CPU-GPU Parallel Processing System

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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