[PRL] Fwd: [MIT-PL] TALK:Tuesday 12-11-12 PL/SE Seminar: Making Programming Languages more Usable through Optimization

[Mitchell Wand]

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From: Csail Event Calendar <eventcalendar at csail.mit.edu>
Date: Tue, Dec 11, 2012 at 12:01 AM
Subject: [MIT-PL] TALK:Tuesday 12-11-12 PL/SE Seminar: Making Programming
Languages more Usable through Optimization
To: pl at csail.mit.edu



PL/SE Seminar: Making Programming Languages more Usable through Optimization
Speaker: Ross Tate
Speaker Affiliation: Cornell University
Host: Adam Chlipala
Host Affiliation: CSAIL

Date: 12-11-2012
Time: 2:00 PM - 3:30 PM
Location: 32-G882 (reading room)

Programming languages have long had to carefully balance between human
usability and computational efficiency. Indeed, many programmers constantly
need to keep efficiency in mind as they implement their projects. This
concern
often forces programmers to write code in ways that are hard for them and
their colleagues to read but which will execute more efficiently. This may
happen at fine-grained levels such as within a procedure, but it can even
force programmers to use library designs that they know are fragile and
error
prone but which can get them the performance they need. In this
presentation I
will present technologies that enable programmers to extend the compiler
with
new optimizations by example and even to automatically infer optimizations
from library properties. These technologies allow programmers to write
intuitive code and execute efficient programs, thus making programming
languages more usable by lifting the burden of optimization.

Bio: Ross Tate is an Assistant Professor at Cornell University, having
recently graduated from the University of California, San Diego, where he
was
advised by Sorin Lerner. His research ranges over a wide area of programming
languages and earned him the Microsoft Research Fellowship. Overarching his
projects is a proclivity for solving problems in daily programming by
pulling
from theoretical domains such as category theory, logic, and semantics. In
his
work a UCSD, he developed new techniques for inferring program optimizations
from simple language properties, and has since adapted those techniques to
translation validators used to verify the correctness of optimizations and
to
enabling programmers to teach compilers new optimizations from simple
examples. In his work at Microsoft Research, he designed algorithms for
inferring memory safety of assembly code as part of a larger effort to
build a
verified operating system. In his work with Red Hat, he is helping design a
type system with many object-oriented and functional features for their
Ceylon
programming language while still guaranteeing decidability by building off
his
solutions for Java's type system. In his work at Cornell, he formalized from
first principles effect systems and their semantics, producing new insights
on
prior frameworks such as monads and identifying new opportunities for
effects.

Relevant URL(S): http://www.cs.cornell.edu/~ross/
For more information please contact: Adam Chlipala, adamc at csail.mit.edu

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