high performance computing on graphics processing units: hgpu.org

Programming

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GPU-accelerated Database Systems: Survey and Open Challenges

Sebastian Bress, Max Heimel, Norbert Siegmund, Ladjel Bellatreche, Gunter Saake

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Tags: Computer science, CUDA, Databases, nVidia, OpenCL

September 3, 2014 by hgpu

Detection of retransmissions in 10G Ethernet using GPUs

Paula Roquero Fuentes

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Tags: Algorithms, Computer science, CUDA, nVidia, Pthreads, Security, Tesla C2075, Thesis

September 3, 2014 by hgpu

Searching for a counterexample of Kurepa’s Conjecture

Vladica Andrejic, Milos Tatarevic

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Tags: AMD Radeon R9 280, ATI, Mathematics, Number Theory, OpenCL

September 3, 2014 by hgpu

Performance Portability Study of Linear Algebra Kernels in OpenCL

Karl Rupp, Philippe Tillet, Florian Rudolf, Josef Weinbub, Tibor Grasser, Ansgar Jungel

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Tags: AMD FirePro W9000, ATI, ATI Radeon HD 5850, Computer science, Intel Xeon Phi, Linear Algebra, nVidia, nVidia GeForce GTX 285, OpenCL, Performance, Portability, Tesla K20

September 3, 2014 by hgpu

Directive-Based Compilers for GPUs

Swapnil Ghike, Ruben Gran, Maria J. Garzaran, David Padua

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, OpenACC, Tesla X2090

September 2, 2014 by hgpu

LightPlay: Efficient Replay with GPUs

Min Feng, Farzad Khorasani, Rajiv Gupta, Laxmi N. Bhuyan

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 780

September 2, 2014 by hgpu

Determining the difficulty of accelerating problems on a GPU

Dale Tristram, Karen Bradshaw

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Tags: Algorithms, ATI, ATI Radeon HD 7970, Computer science, OpenCL

September 2, 2014 by hgpu

Optimistic Parallelism on GPUs

Min Feng, Rajiv Gupta, Laxmi N. Bhuyan

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Tags: Computer science, CUDA, Data parallelism, nVidia, Performance, Tesla C1060

September 2, 2014 by hgpu

Heterogeneous Computing on Mixed Unstructured Grids with PyFR

F. D. Witherden, B. C. Vermeire, P. E. Vincent

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Source codes

Tags: AMD FirePro W9100, ATI, CUDA, Fluid dynamics, Heterogeneous systems, nVidia, OpenCL, Package, Tesla K40

September 2, 2014 by hgpu

Performance Evaluations of Graph Database using CUDA and OpenMP-Compatible Libraries

S. Morishima, H. Matsutani

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Tags: CUDA, Databases, nVidia, nVidia GeForce GTX 780 Ti, nVidia Quadro K600, OpenMP

September 1, 2014 by hgpu

Fast reconstruction of 3D volumes from 2D CT projection data with GPUs

M. Leeser, S. Mukherjee, J. Brock

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Tags: AMD, AMD Radeon HD 7970, Computed tomography, CT, CUDA, Heterogeneous systems, Medicine, nVidia, OpenCL, Tesla C2075

September 1, 2014 by hgpu

Scalable Kernel Fusion for Memory-Bound GPU Applications

Mohamed Wahib and Naoya Maruyama

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Tags: CUDA, Memory level parallelism, nVidia GeForce GTX 750 Ti, Tesla K20, Tesla K40

September 1, 2014 by wahibium

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-accelerated Database Systems: Survey and Open Challenges

Detection of retransmissions in 10G Ethernet using GPUs

Searching for a counterexample of Kurepa’s Conjecture

Performance Portability Study of Linear Algebra Kernels in OpenCL

Directive-Based Compilers for GPUs

LightPlay: Efficient Replay with GPUs

Determining the difficulty of accelerating problems on a GPU

Optimistic Parallelism on GPUs

Heterogeneous Computing on Mixed Unstructured Grids with PyFR

Performance Evaluations of Graph Database using CUDA and OpenMP-Compatible Libraries

Fast reconstruction of 3D volumes from 2D CT projection data with GPUs

Scalable Kernel Fusion for Memory-Bound GPU Applications

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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