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ICFP 2019
Sun 18 - Fri 23 August 2019 Berlin, Germany
Tue 20 Aug 2019 14:37 - 15:00 at Aurora Borealis - The Real World Chair(s): Robert Atkey

Algorithms for solid modeling, i.e., Computer-Aided Design (CAD) and computer graphics, are often specified on real numbers and then implemented with finite-precision arithmetic, such as floating-point. The result is that these implementations do not soundly compute the results that are expected from their specifications.

We present a new library, StoneWorks, that provides sound and robust solid modeling primitives. We have implemented this library in MarshallB, a language we have developed as an extension of Marshall. Marshall is a language for exact real arithmetic in which types denote topological spaces and functions denote continuous maps, ensuring that all programs are sound and robust.

We also define a new shape representation, compact representation (K-rep), that enables a user of our library to perform constructions such as Minkowski sum and analyses such as Hausdorff distance that are not possible with traditional representations.

With our library, language, and representation together, we show that short StoneWorks programs can specify and execute sound and robust solid modeling algorithms and tasks.

Tue 20 Aug

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

13:30 - 15:00
The Real WorldResearch Papers at Aurora Borealis
Chair(s): Robert Atkey University of Strathclyde
13:30
22m
Talk
Demystifying Differentiable Programming: Shift/Reset the Penultimate Backpropagator
Research Papers
Fei Wang , Dan Zheng Purdue University, Google Brain, James Decker , Xilun Wu Purdue University, Gregory Essertel Purdue University, Tiark Rompf Purdue University
Pre-print
13:52
22m
Talk
Efficient Differentiable Programming in a Functional Array-Processing Language
Research Papers
Amir Shaikhha University of Oxford, Andrew Fitzgibbon Microsoft Research, Cambridge, Dimitrios Vytiniotis DeepMind, Simon Peyton Jones Microsoft, UK
14:15
22m
Talk
From high-level inference algorithms to efficient code
Research Papers
Rajan Walia Indiana University, Praveen Narayanan Indiana University, USA, Jacques Carette McMaster University, Sam Tobin-Hochstadt Indiana University, Chung-chieh Shan Indiana University, USA
Pre-print
14:37
22m
Talk
Sound and robust solid modeling via exact real arithmetic and continuityDistinguished Paper
Research Papers
Benjamin Sherman Massachusetts Institute of Technology, USA, Jesse Michel Massachusetts Institute of Technology, Michael Carbin Massachusetts Institute of Technology
DOI Pre-print Media Attached