high performance computing on graphics processing units: hgpu.org

hgpu.org » Biological Physics

A framework for simulating and estimating the state and functional topology of complex dynamic geometric networks

Marius Buibas, Gabriel A. Silva

View

Download (PDF)

Source codes

Tags: Biological Physics, Condensed matter, CUDA, Disordered Systems and Neural Networks, Mathematical Physics, Neurons and Cognition, nVidia, Package, Physics, Tesla C1060

November 9, 2010 by hgpu

Efficient pseudo-random number generators for biomolecular simulations on graphics processors

A. Zhmurov, K. Rybnikov, Y. Kholodov, V. Barsegov

View

Download (PDF)

Tags: Biological Physics, Chemical Physics, CUDA, nVidia, nVidia GeForce GTX 295, Physics, Pseudo-random number generators

November 9, 2010 by hgpu

Fast and accurate protein substructure searching with simulated annealing and GPUs

Alex D. Stivala, Peter J. Stuckey, Anthony I. Wirth

View

Download (PDF)

Source codes

Tags: Bioinformatics, Biological Physics, Biology, CUDA, Molecular dynamics, nVidia, nVidia GeForce GTX 285, Package, Tesla C1060

November 2, 2010 by hgpu

ACEMD: Accelerating Biomolecular Dynamics in the Microsecond Time Scale

M. J. Harvey, G. Giupponi, G. De Fabritiis

View

Download (PDF)

Tags: Biological Physics, Chemistry, Computational Physics, CUDA, GPU cluster, Molecular dynamics, nVidia, nVidia GeForce GTX 280, Package, Physics, Tesla C1060

October 27, 2010 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

A framework for simulating and estimating the state and functional topology of complex dynamic geometric networks

Efficient pseudo-random number generators for biomolecular simulations on graphics processors

Fast and accurate protein substructure searching with simulated annealing and GPUs

ACEMD: Accelerating Biomolecular Dynamics in the Microsecond Time Scale

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)