high performance computing on graphics processing units: hgpu.org

hgpu.org » Performance

Impact of Modern OpenGL on FPS

Jan Cejka

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce GTX 580, nVidia Quadro 6000, OpenGL, Performance, Rendering

May 13, 2014 by hgpu

Deriving Shape Grammars on the GPU

Mark Dokter

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX Titan, OpenGL, Performance

May 13, 2014 by hgpu

Performance Analysis of Sobel Edge Filter on Heterogeneous System Using OpenCL

Aruna Dore, Sunitha Lasrado

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Tags: Computer science, Edge detection, Filtering, nVidia, nVidia GeForce GTX 470, OpenCL, Performance

May 13, 2014 by hgpu

Dynamic Orchestration of Massively Data Parallel Execution

Mehrzad Samadi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 560, OpenCL, Performance, Tesla C2050, Thesis

May 10, 2014 by hgpu

Fine-grain Task Aggregation and Coordination on GPUs

Marc S. Orr, Bradford M. Beckmann, Steven K. Reinhardt, David A. Wood

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Tags: Computer science, GPGPU-sim, Hardware Architecture, OpenCL, Performance

May 10, 2014 by hgpu

Improving the Programmability of GPU Architectures

Cedric Nugteren

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Tags: Algorithms, Computer science, CUDA, nVidia, OpenACC, OpenCL, Package, Performance, Thesis

May 7, 2014 by hgpu

Orchestrating Thread Scheduling and Cache Management to Improve Memory System Throughput in Throughput Processors

Dong Li

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Tags: Computer science, GPGPU-sim, Performance, Thesis

May 7, 2014 by hgpu

Coalition Structure Generation with the Graphics Processing Unit

Krzysztof Pawlowski, Karol Kurach, Kim Svensson, Sarvapali Ramchurn, Tomasz P. Michalak, Talal Rahwan

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 660, Package, Performance

May 3, 2014 by hgpu

A Performance Optimization Support Framework for GPU-based Traffic Simulations with Negotiating Agents

Yoshihito Sano, Yoshiaki Kadono, Naoki Fukuta

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Tags: Artificial intelligence, Computer science, nVidia, nVidia GeForce GT 320 M, OpenCL, Performance

May 3, 2014 by hgpu

Address Selection for Efficient Barriers on the Intel Xeon Phi

Romain Dolbeau

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Tags: Computer science, Intel Xeon Phi, Performance

May 2, 2014 by hgpu

Sparser, Better, Faster GPU Parsing

David Hall, Taylor Berg-Kirkpatrick, John Canny, Dan Klein

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Tags: Computer science, nVidia, nVidia GeForce GTX 680, OpenCL, Package, Performance

April 21, 2014 by hgpu

Computational cost estimates for parallel shared memory isogeometric multi-frontal solvers

M.Wozniak, K.Kuznik, M. Paszynski, V. M. Calo, D. Pardo

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Tags: Computer science, CUDA, FEM, Finite element method, nVidia, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 780, Performance, Tesla C2070

April 21, 2014 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

Impact of Modern OpenGL on FPS

Deriving Shape Grammars on the GPU

Performance Analysis of Sobel Edge Filter on Heterogeneous System Using OpenCL

Dynamic Orchestration of Massively Data Parallel Execution

Fine-grain Task Aggregation and Coordination on GPUs

Improving the Programmability of GPU Architectures

Orchestrating Thread Scheduling and Cache Management to Improve Memory System Throughput in Throughput Processors

Coalition Structure Generation with the Graphics Processing Unit

A Performance Optimization Support Framework for GPU-based Traffic Simulations with Negotiating Agents

Address Selection for Efficient Barriers on the Intel Xeon Phi

Sparser, Better, Faster GPU Parsing

Computational cost estimates for parallel shared memory isogeometric multi-frontal solvers

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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