From Kurt.Hillig@um.cc.umich.edu  Tue Apr 27 07:07:18 1993
Date: Tue, 27 Apr 93 11:07:18 EDT
From: Kurt.Hillig@um.cc.umich.edu
To: chemistry@ccl.net
Message-Id: <22506386@um.cc.umich.edu>
Subject: Gaussina 9x memory/disk requirements


I've often seen the claim that memory (for in-core) or disk space 
needed by Gaussian 9x scales as N^4/4 (SCF).  I expect a first-order 
approximation to the memory needs can be given by M = A + B N^4, 
where A is the "overhead" and B is a scale factor (words per integral?). 
 
I've occasionally seen some very rough estimates - for example today, 
the claim (paraphrased) 100 basis functions:100 MWords, 200 BF's:200 MW,  
300 BF's:>1GW - but it's hard to fit this to a fourth-order polynomial 
with any accuracy (;-) and it doesn't match M = N^4/4 (i.e. A=0, B=.25)  
particularly well. 
 
Can anyone supply more accurate numbers so I can better advise my users?  
 
    Dr. Kurt Hillig 
   Dept. of Chemistry      I always tell the     khillig@umich.edu 
 University of Michigan     absolute truth    Telephone (313)747-2867 
Ann Arbor, MI  48109-1055    as I see it.    hillig@chem.lsa.umich.edu 

From richard@TC.Cornell.EDU  Tue Apr 27 06:47:17 1993
Date: Tue, 27 Apr 1993 10:47:17 -0400
From: Richard Gillilan <richard@TC.Cornell.EDU>
Message-Id: <199304271447.AA20137@theory.TC.Cornell.EDU>
To: chemistry@ccl.net
Subject: Visualization Summer School



   --- Scientific Visualization of Chemical Systems ---
  
           Cornell Theory Center Summer School
    
          Offered through the Cornell School of
        Continuing Education and Summer Sessions

                  Course Description

 Within the past ten years, the  simulation and  modeling of 
molecules has evolved from an esoteric academic subject into
a  international  industry. Computer  graphics has played  a 
decisive role in this transformation by allowing chemists to
build, visualize and interact with complex geometrical objects. 

While computer scientists are conversant in the language of their
own discipline, they are often unfamiliar with the terminology,
simulation techniques and practical needs of research chemists.
Similarly, chemists are often unfamiliar with the latest paradigms
and technological advances in graphical computing. 

This interdisciplinary course is intended to bridge the gap 
between computer science and chemistry and to equip chemistry 
researchers who wish to be more than just casual users of 
prepackaged graphics software. Although this is not intended to 
be a course in computational chemistry or drug design, data sets 
>from chemical research problems will be used in lab and students
will be encouraged to bring data sets of their own. Lab exercises 
and projects will be carried out using data-flow programming 
(IBM Visualization Data Explorer software) and students will have 
access to Cornell Theory Center computing resources, including video
recording equipment. 

Audience:  researchers and students in the chemical and biological
           sciences interested in integrating state-of-the-art
           computer graphics into their research; computer scientists 
           wishing to gain familiarity with a major application of 
           scientific visualization.

           The class size will be limited to 25 participants on a 
           first-come first-served basis. 

Level:     Graduate/advanced undergraduate, 1 or 2 Credits. May be taken
           without credit as a workshop. Calculus, linear algebra
           and introductory chemistry required. Familiarity with Unix, 
           X-windows and C is useful but not required. 

Date:   June 14-25, 1993  (2 Credits)
        June 14-18, 1993  (1 or 0 credits)

Time:   Mon-Fri 9:00 am to 12:00 pm and 1:00 pm to 4:00 pm

Cost:   0 or 1 credit       $410
        2 credits           $820
   
Format

The course will be held in the Theory Center training facility
where computer workstations will be available.  Daily lectures will be 
interspersed with laboratory exercises and ample time will be provided
for project enablement and familiarization with the new computing
environment. Students enrolled for one credit will be graded on the basis 
of their laboratory exercises and short final project. Those enrolled
for a second credit will receive more advanced lectures, be given 
more time for project development and meet daily to share experience 
and discuss problems encountered.

Content (may vary)

    Elements of computer graphics
         polygonal rendering, lighting models, ray tracing, volumetric
         rendering, stereo graphics, animation, introduction to data-flow
         programming (DX), interactivity.

    Representing the atom
         size, time and energy scales
         basic classical and quantum mechanics                  

    Important categories of molecules
         small molecules, biopolymers, surfaces and catalysts,
         miscellaneous current applications

    Data formats and conversions

    Advanced molecular graphics techniques

    Types of simulation and experiment 
         electronic structure, molecular dynamics/mechanics
         electrostatics, X-ray crystallography, NMR, quantum
         dynamics and spectroscopy.

Instructors

The course will be taught by two instructors. Topics related to computer 
graphics will be handled by Dr. Bruce Land, Project Leader of Visualization, 
Cornell National Supercomputing Facility. Chemistry-specific aspects
of the course will be handled by Dr. Richard E. Gillilan, Visualization 
Specialist and Research Scientist, Cornell National Supercomputing Facility

TO REGISTER:  mail completed form to

              Cornell University 
              School of Continuing Education
              and Summer Sessions
              B20 Day Hall
              Ithaca, NY 14853-2801

Questions:  Richard Gillilan (607) 254-8757
            richard@tc.cornell.edu

IMPORTANT: Acceptance will be first-come, first-served and based 
           on a target class size of 15 full-credit and 10 single
           or non-credit participants. 

DEADLINE:   May 20, 1993


----------------------- Application Form ----------------------

         Scientific Visualization of Chemical Systems

            Chemistry 782    Computer Science 718  

U.S. Social Security number (if available) _____ - ___ - _______

Cornell ID number (if available) ________________

Name: _______________________________________________________________
         Last            First         Middle        Suffix (Jr, etc)

Address: _____________________________________________________________

         _____________________________________________________________

         _____________________________________________________________


Home Address (where grades will be mailed):

         _____________________________________________________________

         _____________________________________________________________

         _____________________________________________________________

Local Phone ________________   Home Phone _______________


Academic Discipline _____________________________


Course number (check one):   __ Chemistry  __ Computer Science

Credits:       __.__

Status:     __ Undergraduate Student   __ Smart Node Consultant 
            __ Graduate Student        __ Smart Node Advisor
            __ Post-Doctoral           
            __ Faculty                 __ Other (explain) _______________
      
Corporate Commercial

            __ Research Staff          __ Other (explain) ______________

Name of Firm ___________________________________________________________

Indicate which of the following best describes you (optional):

  __ African American  __ Alaskan Native     __ Asian American
  __ Caucasian         __ Hispanic American  __ Native American

List special needs (e.g. mobility impaired): ____________________________

----------------------------------------------------------------------------

Accommodations:

Blocks of rooms are available at the Sheraton. Reservations
must be made no later than May 17. Be sure to tell them you 
are here for the "Cornell Theory Center Visualization Workshop".

    Sheraton Inn
         One Sheraton Drive, Ithaca
         (607) 257-2000
         FAX: 607-257-398
         Rates starting at $64.00
 
Other local motels (Make your reservation early! Our 
workshop coincides with other Cornell events)

Econo Lodge
        Cayuga Mall 2303 N. Triphammer Rd. Ithaca
        (607) 257-1400
        (800) 466-6900
        FAX: (607) 257-6359
        Rates from $35.10 (ask for the Cornell Rate)


Dorm rooms have also been reserved participants 
(both credit and non-credit). Participants who
are interested in dorm rooms should call (below)
for registration information:

Jeanne Miller (607) 254-8813 or Donna Smith (607) 254-8614
email: jeanne@tc.cornell.edu or donna@tc.cornell.edu


---------------------------------------------------------------------------


From mail Tue Apr 27 12:42:46 1993
From: hyper!slee (Thomas Slee)
Message-Id: <9304271623.AA12347@hyper.hyper.com>
Subject: PC's and workstations
To: chemistry@ccl.net
Date: 	Tue, 27 Apr 1993 12:23:11 -0400

Dear OSC-ers,

Following the "Gaussian for Windows" announcement, there has been a 
flurry of discussion about the relative merits or otherwise of 
PC's, workstations, and supercomputers.  I thought I would add a
couple of pieces of fairly elementary information to the pile as
I haven't seen them posted yet.  

First, relative cpu speeds of workstations and PC's with real applications.  

We find that for the semi-empirical and molecular mechanics programs in 
HyperChem the relative speeds of a high-end, but not quite top-of-the-line, 
PC (486-50MHz model) and an R3000 SGI Indigo are about 1 to 2.5.  
An R4000 SGI Crimson is just over 2 times faster again.  So, a 
reasonably fast PC certainly has the cpu speed to do useful
calculations.

The memory requirements for semi-empirical and molecular mechanics
calculations are much less than those for (indirect) ab initio methods, 
of course: a 100-orbital AM1 calculation can be done in around 5Mb,
making it quite easily within reach of standard PCs.  I can make no
comment on Gaussian 92 in this context.

A couple of other things for those who are new to thinking about
PC's for computational chemistry.  Workstations have, of course,
the advantage of being multi-user platforms, while PC's are single-user.
Windows does not do time-slicing by itself: it will share CPU time
among applications only if those programs give up the CPU.  Thus,
the ability to run other programs without too much interference from
a big calculation depends on program implementation,
rather than on the operating system.  It will be interesting to
see how easily Gaussian can be put "in the background".

One of the big advantages of Windows is, apart of course from having
lots of commercial programs available for all kinds of purposes,
the ability of different programs to communicate with each other
through Dynamic Data Exchange (DDE).  I certainly find this one of
the most attractive and powerful tools when working in Windows.
Anyone know if G92 has any facility to share its results by DDE?  

FInally, to those who say you can't do anything worthwhile with less
than a gigabyte of scratch space (or whatever): you make me feel very
old.  I felt like starting this posting by saying "When I were a lad,
we only had 80Mb of disk space, and 4Mb of memory, TOTAL.  And we
STILL did ab initio calculations. Times were tough then..." And it
wasn't that long ago, either.  Really.  Sigh...


			Tom Slee
-- 
Tom Slee
Hypercube, Inc., #7-419 Phillip St., Waterloo, Ont. N2L 3X2 
Internet:  slee@hyper.com		Tel. (519) 725-4040

From rbw@msc.edu  Tue Apr 27 08:29:47 1993
Date: Tue, 27 Apr 93 13:29:47 -0500
From: rbw@msc.edu (Richard Walsh)
Message-Id: <9304271829.AA25192@uh.msc.edu>
To: Kurt.Hillig@um.cc.umich.edu, chemistry@ccl.net
Subject: Re:  Gaussina 9x memory/disk requirements



Hello,

I made a mistatement in my previous note .. I got my divisors
mixed up and stated that closed shell systems scale as N^4/4
when this is actually the number for open shell systems. Here is 
the correct information:

open    shell incore scf memory needs scale as N^4/4
closed  shell incore scf memory needs scale as N^4/8 

So, for closed shell systems, explicitly:

50*50*50*50/8           = 781250     MWs

100*100*100*100/8       = 12500000   MWs

200*200*200*200/8       = 200000000  MWs

300*300*300*300/8       = 1012500000 MWs

I usually give my jobs a additional 1 or 2 MWs to 
to be sure their is enough room for the instuctions
and static data.


Sorry about the mistake,


Richard Walsh
Minnesota Supercomputer Center


From srheller@asrr.arsusda.gov  Sat Apr 27 10:11:00 1993
Message-Id: <199304271814.AA14237@oscsunb.ccl.net>
Date: 27 Apr 93 14:11:00 EDT
From: "STEPHEN R. HELLER" <srheller@asrr.arsusda.gov>
Subject: Software for review
To: "chemed-l" <chemed-l%uwf.bitnet@cunyvm.cuny.edu>


27 April, 1993


Subject:  Computer Software for Review

     As the Software Review Editor for the ACS Journal of
Chemical Information and Computer Science (JCICS) I often get
software for review in the journal.  I now have some packages  in
hand (see below) and I am looking for people who are willing to
review the software.  In return for the review you get to keep
the software.  The review should be completed in 1-2 months.  The
length of the review is 4-10 double spaced typed pages.  Sample
reviews can be found in most of the recent issues of JCICS.

     I have tried this approach with some software for review in
the past few months and it is working reasonably well. (For those
who haven't finished your reviews of software sent a few months
ago, this last sentence does not apply to you!)  As a result, I
am continuing this new method to find reviewers using this e-
mail/user group system.  I hope it continues to work.  I reserve
the right to abandon this if it is a problem, or inappropriate. 
I will not notify people if I have found a reviewer.  If you
don't hear from me I have chosen someone else to review the
particular package.

     As I get many, many, (too many) replies to this message,
please do not respond after 28 April, as I am sure the software
will be gone by then.

     I can be reached on INTERNET (SRHELLER@ASRR.ARSUSDA.GOV),
or if necessary, by phone at 301-504-6055 or FAX at 301-946-2704. 


     PLEASE BE SURE TO INCLUDE AN STREET ADDRESS, PHONE and FAX
NUMBER!!!  (I send the software by Federal Express.)



     Steve Heller




The packages I now have are:


1. LabAdvisor - IBM PC Regulatory Information database from the
ACS.  This is the complete LabADVISOR package with all modules. 
This helps you keep track of regulatory requirements for
chemicals in the lab.

2. Ami-Pro 3.0 for windows.


From wsonnen@rcf.usc.edu  Tue Apr 27 06:42:51 1993
Date: Tue, 27 Apr 93 13:42:51 PDT
From: wsonnen@alnitak.usc.edu (Wayne Sonnen)
Message-Id: <9304272042.AA24285@alnitak.usc.edu>
To: chemistry@ccl.net
Subject: dna-ligand studies


Dear computational chemists,

I would appreciate any directions (references, etc.) as to where
to find data on dna-ligand studies. In particular i would like to
find a series of ligands (or a ligand and several of its derivatives)
which bind to the same dna sequence. 
Any references to thermodynamic, biochemical and of course simulation
studies would be most welcome. My interest is in studing the binding
of these ligands via md.
Regardless of the number of replies to my question, i will post
a summary of the replies i receive to this network.

Thank you,

Wayne Sonnen
wsonnen@alnitak.usc.edu