high performance computing on graphics processing units: hgpu.org

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A Comprehensive Survey on Various Evolutionary Algorithms on GPU

Satvir Singh, Jaspreet Kaur, Rashmi Sharan Sinha

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Particle swarm optimization, Tesla C1060, Tesla C2050

August 23, 2014 by hgpu

GPU Accelerated Range Trees with Applications

Manoj Maramreddy, Kishore Kothapalli

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Tags: Computer science, CUDA, Databases, Graph theory, nVidia, nVidia GeForce GTX 580, OpenMP

August 19, 2014 by hgpu

Design of an FPGA-Based FDTD Accelerator Using OpenCL

Yasuhiro Takei, Hasitha Muthumala Waidyasooriya, Masanori Hariyama, Michitaka Kameyama

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Tags: Electrodynamics, Electromagnetics simulation, FDTD, Finite-difference time-domain, FPGA, nVidia, nVidia GeForce GTX 580, OpenCL

August 2, 2014 by hgpu

High Performance Low Power Embedded Vision Systems

Antonis S. Nikitakis

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Tags: Algorithms, ARM, Computer science, Computer vision, CUDA, FPGA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 580, OpenCV, Thesis

July 22, 2014 by hgpu

Combining Data Parallelism and Task Parallelism for Efficient Performance on Hybrid CPU and GPU Systems

Aditya Deshpande

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Tags: Algorithms, Compression, Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 580, nVidia Quadro FX 3700, Package, Sorting, Sparse matrix, Tesla K20, Thesis

July 11, 2014 by hgpu

Utilizing state-of-art NeuroES and GPGPU to optimize Mario AI

Hasse Lovgren

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Tags: ATI, ATI Radeon HD 5870, Computer science, Mathematics, Neural networks, nVidia, nVidia GeForce GTX 580, OpenCL, Package, Performance, Tesla C1060, Thesis

July 9, 2014 by hgpu

Solving the Examination Timetabling Problem in GPUs

Vasileios Kolonias, George Goulas, Christos Gogos, Panayiotis Alefragis, Efthymios Housos

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Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, nVidia, nVidia GeForce GTX 580, Sparse matrix

July 7, 2014 by hgpu

Parallel Progressive Mesh Editing

Evgenij Derzapf, Nico Grund, Michael Guthe

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, OpenGL, Rendering

July 7, 2014 by hgpu

Concurrent Analytical Query Processing with GPUs

Kaibo Wang, Kai Zhang, Yuan Yuan, Siyuan Ma, Rubao Lee, Xiaoning Ding, Xiaodong Zhang

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 580

June 25, 2014 by hgpu

GPU-driven Parallel Processing for Realtime Creation of Tree Animation

Sang-Min Song, Young-Min Kang, Kang-Hyuk Lee, Soo-Yol Ok

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Real-time graphics

June 24, 2014 by hgpu

Acceleration of GPU-based ultrasound simulation via data compression

Andrew A. Haigh, Eric C. McCreath

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Tags: Acoustics, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Ultrasound

June 20, 2014 by hgpu

Mapping parallel programs to heterogeneous multi-core systems

Dominik Grewe

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Tags: Algorithms, ATI, ATI Radeon HD 7990, Computer science, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce GTX 580, OpenCL, Package, Thesis

June 5, 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

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high performance computing on graphics processing units: hgpu.org

A Comprehensive Survey on Various Evolutionary Algorithms on GPU

GPU Accelerated Range Trees with Applications

Design of an FPGA-Based FDTD Accelerator Using OpenCL

High Performance Low Power Embedded Vision Systems

Combining Data Parallelism and Task Parallelism for Efficient Performance on Hybrid CPU and GPU Systems

Utilizing state-of-art NeuroES and GPGPU to optimize Mario AI

Solving the Examination Timetabling Problem in GPUs

Parallel Progressive Mesh Editing

Concurrent Analytical Query Processing with GPUs

GPU-driven Parallel Processing for Realtime Creation of Tree Animation

Acceleration of GPU-based ultrasound simulation via data compression

Mapping parallel programs to heterogeneous multi-core systems

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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