Transcript Protein Folding Landscapes in a Distributed Environment All Hands Meeting, 2001

Protein Folding Landscapes in a
Distributed Environment
All Hands Meeting, 2001
University of Virginia
Andrew Grimshaw
Anand Natrajan
Scripps (TSRI)
Charles L. Brooks III
Michael Crowley
SDSC
Nancy Wilkins-Diehr
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Outline
• CHARMM
– Issues
• Legion
• The Run
– Results
– Lessons
• AmberGrid
• Summary
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CHARMM
• Routine exploration of folding landscapes helps in
search for protein folding solution
• Understanding folding critical to structural
genomics, biophysics, drug design, etc.
• Key to understanding cell malfunctions in
Alzheimer’s, cystic fibrosis, etc.
• CHARMM and Amber benefit majority (>80%) of
bio-molecular scientists
• Structural genomic & protein structure
predictions
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Folding Free Energy Landscape
Molecular
Dynamics Simulations
100-200 structures
to sample
(r,Rgyr ) space
r
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Rgyr
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Application Characteristics
• Parameter-space study
– Parameters correspond to structures along &
near folding path
• Path unknown - could be many or broad
– Many places along path sampled for determining
local low free energy states
– Path is valley of lowest free energy states from
high free energy state of unfolded protein to
lowest free energy state (folded native protein)
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Folding of Protein L
• Immunoglobulin-binding protein
– 62 residues (small), 585 atoms
– 6500 water molecules, total 20085 atoms
– Each parameter point requires O(106) dynamics steps
– Typical folding surfaces require 100-200 sampling runs
• CHARMM using most accurate physics available
for classical molecular dynamics simulation
– PME, 9 Ao cutoff, heuristic list update, SHAKE
• Multiple 16-way parallel runs - maximum efficiency
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Application Characteristics
• Many independent runs
– 200 sets of data to be simulated in two
sequential runs
• Equilibration (4-8 hours)
• Production/sampling (8 to 16 hours)
• Each point has task name, e.g., pl_1_2_1_e
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Scientists Using Legion
• Binaries for each type
• Script for dispatching
jobs
• Script for keeping
track of results
• Script for running
binary at site
– optional feature in
Legion
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• Abstract interface to
resources
– queues, accounting,
firewalls, etc.
• Binary transfer (with
caching)
• Input file transfer
• Job submission
• Status reporting
• Output file transfer
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Legion
Complete, Integrated Infrastructure
for Secure Distributed Resource
Sharing
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Grid OS Requirements
• Wide-area
• High Performance
• Complexity
Management
• Extensibility
• Security
• Site Autonomy
• Input / Output
• Heterogeneity
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Fault-tolerance
Scalability
Simplicity
Single Namespace
Resource Management
Platform
Independence
• Multi-language
• Legacy Support
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Transparent System
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npacinet
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The Run
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Computational Issues
• Provide improved response time
• Access large set of resources
transparently
– geographically distributed
– heterogeneous
– different organisations
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5 organisations
7 systems
9 queues
5 architectures
~1000 processors
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Resources Available
HP SuperDome
CalTech
440 MHz PA-8700
128/128
IBM SP3
UMich
375MHz Power3
24/24
DEC Alpha
UVa
533MHz EV56
32/128
IBM Blue Horizon
SDSC
375MHz Power3
512/1184
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Sun HPC 10000
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400MHz SMP
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IBM Azure
UTexas
160MHz Power2
32/64
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Scientists Using Legion
• Binaries for each type
• Script for dispatching
jobs
• Script for keeping
track of results
• Script for running
binary at site
– optional feature in
Legion
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• Abstract interface to
resources
– queues, accounting,
firewalls, etc.
• Binary transfer (with
caching)
• Input file transfer
• Job submission
• Status reporting
• Output file transfer
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Mechanics of Runs
Dispatch
Create
task
Dispatch
equilibration
directories
&
equilibration
&
production
specification
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Legion
Register binaries
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Distribution of CHARMM Work
1%
1%
2%
1%
0%
24%
71%
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SDSC IBM
CalTech HP
UTexas IBM
UVa DEC
SDSC Cray
SDSC Sun
UMich IBM
Problems Encountered
• Network slowdowns
– Slowdown in the middle of the run
– 100% loss for packets of size ~8500 bytes
LEGION
• Site failures
– LoadLeveler restarts
– NFS/AFS failures
• Legion
UMich
– No run-time failures
– Archival support lacking
– Must address binary differences
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Successes
• Science accomplished faster
– 1 month on 128 SGI Origins @Scripps
– 1.5 days on national grid with Legion
• Transparent access to resources
– User didn’t need to log on to different machines
– Minimal direct interaction with resources
• Problems identified
• Legion remained stable
– Other Legion users unaware of large runs
• Large grid application run at powerful resources by one
person from local resource
• Collaboration between natural and computer scientists
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AmberGrid
Easy Interface to Grid
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Legion GUIs
• Simple point-and-click interface to Grids
– Familiar access to distributed file system
– Enables & encourages sharing
• Application portal model for HPC
– AmberGrid
– RenderGrid
– Accounting
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Transparent Access
to Remote Resources
Intended Audience is
Scientists
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Logging in to
npacinet
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View of
contexts
(Distributed
File System)
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Control Panel
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Running
Amber
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Run
Status
(Legion)
Graphical
View
(Chime)
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Summary
• CHARMM Run
–
–
–
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Succeeded in starting big runs
Encountered problems
Learnt lessons for future
Let’s do it again!
• more processors, systems, organisations
• AmberGrid
– Showed proof-of-concept - grid portal
– Need to resolve licence issues
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