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Verified Software
Simple and Efficient Concurrency
Mainstream programming languages like C++ and Java provide an
incredibly complex and error-prone semantics for threads in the name
of efficiency. Can we instead provide the simple interleaving
semantics of threads (known formally as
sequential consistency)
at a reasonable cost?
Start here for
the high-level problem and motivation. In recent work we created a
sequentially
consistent Java virtual machine and measured its performance.
Network Programming and Verification
Computer networks have become critical infrastructure for all Internet-based services, and as a result the requirements on and complexity of networks have rapidly increased. Can programming languages technology help to manage this complexity? We are working on both
verification of existing networks and
new languages to design networks that are correct by construction.
Sound Abstraction and Decomposition of Probabilistic Programs (ICML 2018)
Steven Holtzen, Guy Van den Broeck, Todd Millstein
A Volatile-by-Default JVM for Server Applications (OOPSLA 2017)
Lun Liu, Todd Millstein, Madanlal Musuvathi
Probabilistic Program Abstractions (UAI 2017)
Steven Holtzen, Todd Millstein, Guy Van den Broeck
more publications...
Steven Holtzen
(co-advised with Guy Van den
Broeck)
Siva Kesava (co-advised
with George Varghese)
Lun Liu
Saswat Padhi
Alan Tang (co-advised
with George Varghese)
Graduated Students
I regularly teach these courses:
CS30: Principles and Practices of Computing
an introduction to computing for computer-science majors with no prior
programming experience
CS131: Programming Languages
an upper-division undergraduate course on
programming language concepts and the
relationships among different programming paradigms
CS231:
Types and Programming Languages
an introductory graduate course on
programming language theory and static type systems
CS239: Current Topics in Programming Languages and Systems
a graduate research seminar with varying topics
Program
Chair, ECOOP
2018
Program Committee Member, OOPSLA 2018
I joined the UCLA faculty in January 2004.
I am also a co-founder and Chief Scientist of Intentionet.
I received my Ph.D. from the University of Washington
Department of Computer
Science, where I was a member of the Cecil
group led by Craig
Chambers.
Before that, I was an undergraduate at Brown University, where I was advised
by Paris Kanellakis and
Pascal Van Hentenryck. I
grew up in suburban Maryland, outside of Washington D.C.
I received an NSF CAREER award in 2006, an IBM Faculty Award in 2008, the
Most Influential PLDI
Paper Award in 2011, an IEEE Micro Top Picks selection in 2012,
the Northrop
Grumman Excellence in Teaching Award from UCLA Engineering in
2016,
a Microsoft
Research Outstanding Collaborator Award in 2016, and
an Okawa
Foundation Research Grant in 2016.
It turns out computer science at UCLA
goes way back. Here's a
fun short video about UCLA's
differential analyzer from 1948.
In my spare time, I am a (mainly jazz) guitarist. One of my groups
made a recording a while back.
