Time |
Title |
Speaker |
Affiliation |
10:20
– 10:30 |
Introduction |
Jonathan
Hirst |
University
of Nottingham |
10:30
– 11:00 |
Supercomputing at 1/10th the cost |
Tim
Lanfear |
NVIDIA |
11:00
– 11:40 |
Using GPUs
for faster LAMMPS particle simulations |
Paul
Crozier |
Sandia
National Laboratories |
11:40
– 12:10 |
Accelerating molecular docking on multi- and many-core computer architectures |
Simon McIntosh-Smith |
University of Bristol |
12:10
– 12:40 |
Exploring
the free energy landscapes of carbohydrates using microsecond molecular
dynamics simulations in water with GPUs |
Andrew
Almond |
University
of Manchester |
12:40
– 14:00 |
Lunch/posters |
||
14:00
– 14:30 |
Leveraging
multiple chip architectures in host-accelerator systems for high performance
molecular simulation |
Erik
Lindahl |
KTH
Royal Institute of Technology, Sweden |
14:30
– 15:00 |
AMBER GTI
(add you own go faster stripes) courtesy of GPUÕs: |
Ian Gould |
Imperial College London |
15:00
– 15:30 |
Tea/coffee
break |
||
15:30
– 16:00 |
High-throughput
molecular dynamics simulations on GPUs using ACEMD |
Matt
Harvey |
Imperial
College London |
16:00
– 16:30 |
Using GP-GPUs for Molecular Dynamics and Electronic Structure Calculations |
Martyn
Guest |
University
of Cardiff |
Posters
Implicit Solvation Models in the ONETEP Linear Scaling DFT Program - Jacek Dziedic (Southampton)
Multiscale Approach in the ONETEP Program for Linear-Scaling DFT Simulations - Alvaro Ruiz Serrano (Southampton)
Protein-Ligand Binding Affinities from Large Scale DFT Simulations - Stephen Fox (Southampton)
A GPU Solvent-solvent Interaction Calculation Accelerator for Biomolecular Simulations Using the GROMOS Software - Nathan Schmid (ETH)
Iterative Induced Dipoles Computation for Molecular Mechanics on GPUs - Ricardo Mata (Göttingen)
Speeding Up Evolutionary Learning Using GPGPUs - Maria Franco (Nottingham)
GPU-Accelerated Boundary Element Method Electrostatics for Protein-Protein Interactions - David Falliaze (UCL)