high performance computing on graphics processing units: hgpu.org

hgpu.org » nVidia GeForce GTX 980

Fast LZW compression using a GPU

Shunji Funasaka, Koji Nakano, Yasuaki Ito

View

Download (PDF)

Tags: Algorithms, Compression, CUDA, Image processing, nVidia, nVidia GeForce GTX 980

March 5, 2016 by hgpu

GPU performance analysis of a nodal discontinuous Galerkin method for acoustic and elastic models

Axel Modave, Amik St-Cyr, Tim Warburton

View

Download (PDF)

Tags: BLAS, Computational Physics, CUBLAS, CUDA, FEM, Finite element method, Geoscience, Linear Algebra, nVidia, nVidia GeForce GTX 980, OCCA, Physics, Profiling, Seismic modeling, Seismology

March 1, 2016 by hgpu

DIANNE: Distributed Artificial Neural Networks for the Internet of Things

Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Steven Bohez, Sam Leroux, Pieter Simoens

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Deep learning, Heterogeneous systems, Java, Neural networks, nVidia, nVidia GeForce GTX 980, nVidia Jetson TK1, Package

February 25, 2016 by hgpu

HeSP: a simulation framework for solving the task scheduling-partitioning problem on heterogeneous architectures

Anton Rey, Francisco D. Igual, Manuel Prieto-Matias

View

Download (PDF)

Tags: Algorithms, ARM, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 980, OpenCL, Task scheduling

February 19, 2016 by hgpu

Gravitational wave astrophysics, data analysis and multimessenger astronomy

Hyung Mok Lee, Eric-Olivier Le Bigot, ZhiHui Du, ZhangXi Lin, XiangYu Guo, LinQing Wen, Khun Sang Phukon, Vihan Pandey, Sukanta Bose, Xi-Long Fan, Martin Hendry

View

Download (PDF)

Tags: Astrophysics, CUDA, Gravitation, Gravitational waves, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 980, Tesla K20

February 19, 2016 by hgpu

Parallel and Scalable Sparse Basic Linear Algebra Subprograms

Weifeng Liu

View

Download (PDF)

Tags: Algorithms, AMD Radeon R9 290X, ATI, Benchmarking, Computer science, Heterogeneous systems, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 980, nVidia GeForce GTX Titan Black, OpenCL, Sparse matrix, Thesis

February 16, 2016 by hgpu

Accelerating Fluids Simulation Using SPH and Implementation on GPU

Aditya Hendra

View

Download (PDF)

Tags: cfd, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 980, Thesis

December 31, 2015 by hgpu

GPU-accelerated Bernstein-Bezier discontinuous Galerkin methods for wave problems

Jesse Chan, T. Warburton

View

Download (PDF)

Tags: Mathematics, Numerical Analysis, nVidia, nVidia GeForce GTX 980, OCCA

December 22, 2015 by hgpu

Challenges Adapting CUDA PIC Codes to multiple GPUs

Olav Emil Eiksund

View

Download (PDF)

Tags: Benchmarking, CUDA, Electrostatics, FFT, nVidia, nVidia GeForce GTX 980, OpenMP, Particle simulation, Particle-in-cell methods, Physics, Plasma physics, Tesla K20, Thesis

December 19, 2015 by hgpu

MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

Tianqi Chen, Mu Li, Yutian Li, Min Lin, Naiyan Wang, Minjie Wang, Tianjun Xiao, Bing Xu, Chiyuan Zhang, Zheng Zhang

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Deep learning, Heterogeneous systems, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 980, Package

December 8, 2015 by hgpu

A polyphase filter for many-core architectures

Karel Adamek, Jan Novotny, Wes Armour

View

Download (PDF)

Tags: Algorithms, CUDA, Intel Xeon Phi, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 780 Ti, nVidia GeForce GTX 980, nVidia GeForce GTX Titan X, Signal processing, Tesla K40, Tesla K80, Tesla M2090

November 12, 2015 by hgpu

Multi-dimensional Functional Principal Component Analysis

Lu-Hung Chen, Ci-Ren Jiang

View

Download (PDF)

Tags: FFT, nVidia, nVidia GeForce GTX 980, nVidia Quadro K600, OpenACC, Statistics

October 16, 2015 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

* * *

high performance computing on graphics processing units: hgpu.org

Fast LZW compression using a GPU

GPU performance analysis of a nodal discontinuous Galerkin method for acoustic and elastic models

DIANNE: Distributed Artificial Neural Networks for the Internet of Things

HeSP: a simulation framework for solving the task scheduling-partitioning problem on heterogeneous architectures

Gravitational wave astrophysics, data analysis and multimessenger astronomy

Parallel and Scalable Sparse Basic Linear Algebra Subprograms

Accelerating Fluids Simulation Using SPH and Implementation on GPU

GPU-accelerated Bernstein-Bezier discontinuous Galerkin methods for wave problems

Challenges Adapting CUDA PIC Codes to multiple GPUs

MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

A polyphase filter for many-core architectures

Multi-dimensional Functional Principal Component Analysis

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

Most viewed papers (last 30 days)