About Dauger Research, Inc.
Dauger Research, Inc., was incorporated in September 2001 to bridge the divides between
the scientifically and technically complex and the mainstream by making
high-performance computation and visualization easy to use and accessible
Dauger Research, Inc., has received international
recognition for its accomplishments and
currently offers award-winning software and consulting services to
accomplish these goals.
Who is Dauger Research, Inc.?
Leading members of the company include:
Background of Dauger Research, Inc.
Dean E. Dauger, Ph. D., President and CEO
Kevin T. Sinclair, E. E., M. B. A., Vice President, Operations
Viktor K. Decyk, Ph. D., Member of the Board and Senior Technical Consultant
Dean E. Dauger, Ph. D.,
with extensive experience
in science, academia, high-performance computing, and the software industry,
is Founder and President of Dauger Research, Inc.
He earned his B. S. in Mathematical Physics from Harvey Mudd College and
his M. S. in Physics from UCLA. In March 2001, he earned his Ph. D.
in Physics on
of Quantum-Mechanical Multiparticle Systems
using Parallel Particle-In-Cell Methods
This dissertation combined an approximation of Feynman path integrals with
computational methods developed for plasma simulations implemented on
massively parallel high-performance computers and applied these techniques
to simulating multiple interacting quantum particles, establishing a
new method of physical simulation.
This research used skills in Lagrangian methods, stationary phase methods,
Feynman path integrals, quantum mechanics, plasma physics, numerical methods, grid-point
approximations, code optimization, high-performance computing, parallel
computing, visualization, sonification, verification and validation, and
plasma particle-in-cell methods.
Dr. Dauger's accomplishments stem from his history. Programming
since the age of nine and developing physics-based simulations since
fourteen led him to a variety of experiences. While taking a one-semester hiatus from
his Harvey Mudd degree, he worked for HSC Software, later known as MetaCreations,
where he was one of the two original software writers of Kai's Power Tools versions 1.0 and 2.0.
KPT was a set of high-performance image-processing filters for Adobe Photoshop,
and KPT 2 went on to win top ratings in reviews from MacWeek and MacWorld.
He continued to hone his skills and apply them to other subjects. While finishing
his B. S., he developed a rapid algorithm for simulating Fresnel diffraction
patterns, which later led to his first and sole-author publication in Computers In Physics,
an American Institute of Physics journal, in 1996, while he was completing his
M. S. in Physics at UCLA. He implemented his Fresnel diffraction algorithms into
an educational application that became a winning entry for the international
Eighth Computers In Physics' Educational Software Contest.
This pursuit of understanding physics through high-performance computing continued
when he developed Atom in a Box and released its 1.0 version in 1998. Besides
achieving highest reviews in MacAddict, MacHome, Mac-Fan Japan, and many others, it
also earned him a unprecedented second-in-a-row award in Computers In Physics' Ninth
Educational Software Contest. In 2001, it still is by far
the most accurate, fastest, real-time volumetric raytracing application and
is in use in classrooms elementary to college in scores of institutions
around the world.
Of course, he applied his talents to his doctorate, but in ways both obvious and
unexpected. The computational code for his doctorate has complexities, and
he applied his computational experience to the accuracy and speed of the
physical simulation as well as the visualization and analysis of the simulation output
for the sake of further understanding of physics.
Other than the visualization, these codes were written in Fortran
and in C for parallel computation because of their processing and memory demands.
Some of his visualizations also involved translating evolving quantum wavefunctions
Simultaneous with the
progression of his doctorate, he teamed with Viktor K. Decyk, Ph. D., Adjunct Professor
of Physics at UCLA, to create a new incarnation of cluster computing. Decyk had
the skills and expertise in scientific high-performance and parallel computation,
among the very best in the field,
while Dauger had the award-winning industry experience in computing and the Macintosh platform,
making the two an ideal pair.
Decyk and Dauger created AppleSeed in 1998. AppleSeed provided software
that could transform a standard network of Macintoshes into
the only known general purpose parallel computer running the standard Mac OS.
In publications and presentations worldwide, their software was
recognized as essential in creating the only parallel cluster computing
solution that was easy to set up, maintain, and use. And this work was completed
on the side, without official support, by Decyk and Dauger while working on
their physics research. Because his funding from Lawrence Livermore National Laboratory
(designated solely for physics research)
could only provide his salary, but no
computation time, Dauger used Mac clusters exclusively to complete
his doctoral dissertation.
Macintosh clusters have long had the potential to change the face of parallel computing,
but it became clear that Mac clusters could not gain wide acceptance if it
was backed by only a pair of underfunded physics researchers.
After finishing his doctorate, Dauger created Dauger Research to fulfill many needs,
but one of them was to provide official support for such Macintosh clustering software
and create the means for parallel computing to be brought out of the realm of the
experts and into the mainstream. Bridging these kinds of divides is the primary purpose of Dauger Research.