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Personal Perspectives on Virtual Laboratory of Computational Chemistry

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Title: Personal Perspectives on Virtual Laboratory of Computational Chemistry


1
Personal Perspectives on Virtual Laboratory of
Computational Chemistry
  • Shubin Liu, Ph.D.
  • Academic Technology Networks
  • University of North Carolina
  • Chapel Hill, North Carolina, USA

2
Agenda
  • Self-Introduction
  • Research Interests
  • Hardware and Software in Use
  • Personal Suggestions
  • What Can I Contribute?
  • Technical Issues and Concerns

3
Brief Self-Introduction
  • Education
  • Ph.D. University of North Carolina, 1996, Advisor
    Robert G. Parr
  • M.Sc. Lanzhou University, 1988, Advisor Zhouren
    Peng
  • B.Sc. Hunan Normal University, 1985, Major
    Chemistry
  • Professional Experience
  • Postdoc. Duke Universtiy, 1998-2000, Advisor
    Weitao Yang
  • Postdoc. University of North Carolina, 1996-1998,
    Advisor R.G. Parr
  • Present Position
  • Title Senior Computational Scientist
  • High Performance Computing Group, ITS, UNC, since
    September 2000
  • Permanent staff position
  • Duties
  • Computational Chemistry software installation,
    test, and support for entire campus
  • Computational Chemistry research and
    collaboration with world-wide researchers

4
Research Interests
  • Density Functional Theory
  • Theoretical, conceptual and methodological
    development
  • Applications to biological and material systems
  • Structure Theory of Macromolecules
  • New theory of molecular structure and change
  • Structural bioinformatics

5
Ongoing CPU/IO-Demanding Projects
  • Cytochrome human P450 protein mechanism
  • System 100 atoms of QM core, 3500 atoms of MM
    environment
  • Methods DFT, QM/MM
  • Software Gaussian, GAMESS
  • Quantum Molecular Dynamics
  • System 100 atoms, 20-100 ps of dynamics
  • Software NWChem/ECCE
  • Structure Bioinformatics
  • Self-developed algorithm/codes
  • Huge database (gt10GB raw data from one cycle)
  • Both CPU and I/O intensive

6
Active Site of P450cam Protein
7
Ongoing CPU/IO-Demanding Projects
  • Cytochrome human P450 protein mechanism
  • System 100 atoms of QM core, 3500 atoms of MM
    environment
  • Methods DFT, QM/MM
  • Software Gaussian, GAMESS
  • Quantum Molecular Dynamics
  • System 100 atoms, 20-100 ps of dynamics
  • Software NWChem/ECCE
  • Structure Bioinformatics
  • Self-developed algorithm/codes
  • Huge database (gt10GB raw data from one cycle)
  • Both CPU and I/O intensive

8
QMD Chloride in Water Cluster
9
Ongoing CPU/IO-Demanding Projects
  • Cytochrome human P450 protein mechanism
  • System 100 atoms of QM core, 3500 atoms of MM
    environment
  • Methods DFT, QM/MM
  • Software Gaussian, GAMESS
  • Quantum Molecular Dynamics
  • System 100 atoms, 20-100 ps of dynamics
  • Software NWChem/ECCE
  • Structure Bioinformatics
  • Self-developed algorithms/codes
  • Huge database (gt10GB raw data from one cycle)
  • Both CPU and I/O intensive

10
Structure Bioinformatics Helix Propensity
Huge database, self-developed algorithm, both CPU
I/O intensive. Unpublished results.
11
Hardware in Use
  • SGI Origin 3800, 500MHz, 64 CPU, 128 GB memory
  • IBM P690 (Regatta), 1.7GHz, 32 CPU, 128 GB memory
  • LINUX cluster, 1.4-2.8GHz, 352 CPU, 1.5GB
    memory/CPU AMD Athlon and IBM BladeCenter
  • Shared scratch disk space over 10 TB
  • All machines for scientific/research computing
  • Shared by all users on campus

12
Software in Use
  • Quantum Chemistry
  • Gaussian
  • NWChem
  • GAMESS
  • ADF/Band
  • Cerius2
  • SPARTAN
  • Molpro
  • CPMD
  • ABINIT
  • Molecular Dynamics
  • AMBER
  • CHARMM
  • Gromacs
  • Tinker
  • Sybyl
  • InsightII
  • MacroModel
  • Quanta
  • O

13
Software in Use
  • Visualization
  • GaussView
  • ECCE (with NWChem)
  • Cerius2
  • Sybyl
  • InsightII
  • Molscript
  • Spartan
  • Molden
  • Miscellaneous
  • Babel (OpenBabel)
  • Cambridge database
  • NBO/NBOView
  • Blast/Pise
  • BLAS/LAPACK
  • IMSL
  • Matlab, Mathematica
  • etc.

14
Suggestions Operational
  • CPU-time allocation based on proposals
  • A Scientific Steering Committee reviews proposals
  • Renewal yearly on the basis of progress report
  • Different kinds of account
  • Training account
  • Student account
  • Research/member account
  • Mandatory prior training (system, etc) for any
    new user

15
Suggestions Scientific
  • Install a selective list of computational
    chemistry software at system level and shared by
    all CC users
  • Categories QM, MD, Visualization, utility
  • Priority given to parallel codes/packages
  • A few use-friendly GUIs for each category
  • Symposiums
  • have peers get together often and invite
    experts to come and talk
  • User forums
  • display what users achieve, harvest feedbacks
    from users, and provide opportunity for users and
    system people to have direct talks.

16
Suggestions Training
  • Training and short courses
  • For new users, students, professionals, etc.
  • Format Online and/or onsite
  • Contents
  • System usage, job submission, HPC technology
    (MPI, OpenMP, etc.)
  • Programming languages (FORTRAN 77/90/95, C)
  • Comp Chem general introduction, package
    introduction, etc.
  • Summer schools with credit points
  • Onsite, short-term, intensive, focused, hands-on,
    project-oriented

17
Suggestions Miscellaneous
  • List server -- for Lab members
  • Website to general public
  • User group of all Comp Chem users

18
My Purpose to be a Member
  • To provide voluntary service, based on my years
    of HPC experience, to make the Lab more effective
    and efficient
  • To get to know peers within our country
  • To make use of the great facility and resources
    for own research

19
What Can I Contribute?
  • Software
  • Selection of a list of CC software
  • Free, commercial
  • Serial, parallel
  • QM, MD, visualization, utility, etc
  • Installation, testing, documentation and
    benchmarking
  • Consultation
  • User (front-end) support
  • Technical (back-end) support
  • Scientific steering committee
  • Training/Workshop/Summer School
  • Symposium

20
Technical Issues and Concerns
  • How to share data within a group?
  • How to guarantee data privacy if needed?
  • How much is the disk space quota for a regular
    user?
  • Whats the limit of CPU usage per user?
  • Is there any permanent mass storage?
  • How big is the scratch space, where there is no
    limit to store raw data and to run jobs? How long
    can raw data be kept on the scratch space?
  • Is there any backup plan? If yes, what parts of
    disk spaces are to be backed up?
  • Any packages/compilers/libraries (BLAS/LAPACK/
    IMSL/etc) installed by system people that are
    available for all users?

21
QUESTIONS???
Please contact me at shubin_at_unc.edu.
THANK YOU!
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