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The GPU enters computing’s mainstream

Michael Macedonia

Tags: ATI, Computer science, nVidia, Review

May 16, 2011 by hgpu

K3 Moore’s Law in the Era of GPU Computing

Chien-Ping Lu

Tags: Computer science, Hardware Architecture, nVidia, Review

May 15, 2011 by hgpu

Fermi GF100 GPU Architecture

Craig M. Wittenbrink, Emmett Kilgariff, Arjun Prabhu

Tags: Computer science, CUDA, Hardware Architecture, nVidia, Review

May 15, 2011 by hgpu

Why does PHM matter? – Nvidia’s GPU problems reviewed

P.K. Rundle

Tags: Medicine, nVidia, Review

May 13, 2011 by hgpu

Where is the data? Why you cannot debate CPU vs. GPU performance without the answer

Chris Gregg, Kim Hazelwood

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Tags: Computer science, nVidia, nVidia GeForce 9800 GT, nVidia GeForce GT 330 M, nVidia GeForce GTX 480, Performance, Review, Tesla C2050

May 11, 2011 by hgpu

Graphics hardware & GPU computing: past, present, and future

David Luebke

Tags: Computer science, CUDA, Games, nVidia, nVidia GeForce GTX 280, Review

May 4, 2011 by hgpu

Tutorial 3: Methodologies and Performance Impacts of General Purpose Computing on GPUs

Shinichi Yamagiwa

Tags: Computer science, Review, Tutorial

April 20, 2011 by hgpu

Rendering of 3D Dynamic Virtual Environments

Salvatore Catanese, Emilio Ferrara, Giacomo Fiumara, Francesco Pagano

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Tags: 3D Graphics and Realism, Computer science, DirectX, Games, OpenGL, Review, Virtual reality

March 29, 2011 by hgpu

General-purpose GPU computing: practice and experience

Bartlett S. H. (Scott) Michel

Tags: Computer science, Programming techniques, Review

March 24, 2011 by hgpu

Data Visualization and Mining using the GPU

Sudipto Guha

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Tags: Computer science, Data mining, Rendering, Review, Visualization

March 23, 2011 by hgpu

GPU-based password cracking

Marcus Bakker, Roel Van Der Jagt

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 295, Review, Security

March 21, 2011 by hgpu

Hardware Acceleration of EDA Algorithms: GPU Architecture and the CUDA Programming Model

Kanupriya Gulati and Sunil P. Khatri

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Tags: Book, CAD, Computer science, CUDA, Electronic design automation, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 280, nVidia Quadro FX 5800, Review

March 18, 2011 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

The GPU enters computing’s mainstream

K3 Moore’s Law in the Era of GPU Computing

Fermi GF100 GPU Architecture

Why does PHM matter? – Nvidia’s GPU problems reviewed

Where is the data? Why you cannot debate CPU vs. GPU performance without the answer

Graphics hardware & GPU computing: past, present, and future

Tutorial 3: Methodologies and Performance Impacts of General Purpose Computing on GPUs

Rendering of 3D Dynamic Virtual Environments

General-purpose GPU computing: practice and experience

Data Visualization and Mining using the GPU

GPU-based password cracking

Hardware Acceleration of EDA Algorithms: GPU Architecture and the CUDA Programming Model

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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