high performance computing on graphics processing units: hgpu.org

Christoph Kessler, Usman Dastgeer, Samuel Thibault, Raymond Namyst, Andrew Richards, Uwe Dolinsky, Siegfried Benkner, Jesper Larsson Traff, Sabri Pllana

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Tags: Computer science, CUDA, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Performance, Tesla C1060, Tesla C2050

January 24, 2013 by hgpu

Hybrid Single/Double Precision Floating-Point Computation on GPU Accelerators for 2-D FDTD

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

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Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce GTX 590

January 24, 2013 by hgpu

Developing and Evaluating clOpenCL Applications for Heterogeneous Clusters

Tiago Filipe Rodrigues Ribeiro

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Tags: Cluster computing, Computer science, CUDA, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 460, OpenCL, Thesis

January 24, 2013 by hgpu

Performance Study of Satellite Image Processing on Graphics Processors Unit Using CUDA

In-Kyu Jeong, Min-Gee Hong, Kwang-Soo Hahn, Joonsoo Choi, Choen Kim

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Tags: CUDA, Data acquisition, Image processing, nVidia, nVidia GeForce GTX 550 Ti, Raytracing, Sensing, Visualization

January 24, 2013 by hgpu

GPU-based 3D Wavelet Transform

Vicente Galiano, Otoniel Lopez, Manuel P. Malumbres, Hector Migallon

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GT 540 M, nVidia GeForce GTX 280, Wavelet

January 24, 2013 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

Programming

Automatic Parallelization for GPUs

Orthogonalization on a General Purpose Graphics Processing Unit with Double Double and Quad Double Arithmetic

Regularization and nonlinearities for neural language models: when are they needed?

Locality-Aware Work Stealing on Multi-CPU and Multi-GPU Architectures

Vlasov on GPU (VOG Project)

A GPU-accelerated Direct-sum Boundary Integral Poisson-Boltzmann Solver

High Performance Lattice Boltzmann Solvers on Massively Parallel Architectures with Applications to Building Aeraulics

Programmability and Performance Portability Aspects of Heterogeneous Multi-/Manycore Systems

Hybrid Single/Double Precision Floating-Point Computation on GPU Accelerators for 2-D FDTD

Developing and Evaluating clOpenCL Applications for Heterogeneous Clusters

Performance Study of Satellite Image Processing on Graphics Processors Unit Using CUDA

GPU-based 3D Wavelet Transform

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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