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Onward! 2018
Wed 7 - Thu 8 November 2018 Boston, Massachusetts, United States
co-located with SPLASH 2018
Thu 8 Nov 2018 10:30 - 11:00 at The Loft - Data Structures Chair(s): Stefan Marr

Collections are commonly implemented as libraries by data structure experts, and are relied on heavily by application developers. The expert’s task is to implement a wide range of collections, and the application developer’s task is to pick an appropriate collection for each usage scenario. The design space for collections is huge, as data structures in practice implement not only their semantics, but also several performance-related concerns like memory layout, synchronisation, and (im)mutability.

This paper presents C♭, pronounced “C-flat”, a novel way to implement collections that lets experts implement the semantics of a collection data structure, in a way that is decoupled from its data representation. This simplifies collection implementation, and allows a collection’s performance to be tuned, for example, moving from a dense to a sparse representation, without changing its abstract specification.

We describe C♭, both abstractly and in terms of a specific prototype implementation in Java. We use our prototype implementation to show that C♭ is expressive enough to implement common collections, that the code is straightforward, and that the performance of C♭ collections is close to Java’s standard collections for most operations, and much higher for some.

Thu 8 Nov

Displayed time zone: Guadalajara, Mexico City, Monterrey change

10:30 - 12:00
Data StructuresOnward! Papers at The Loft
Chair(s): Stefan Marr University of Kent
Cflat: A New Modular Approach to Implementing Efficient and Tunable Collections
Onward! Papers
Stephan Brandauer Uppsala University, Elias Castegren Uppsala University, Tobias Wrigstad Uppsala University
Live, Synchronized, and Mental Map Preserving Visualization for Data Structure Programming
Onward! Papers
Akio Oka Tokyo Institute of Technology, Hidehiko Masuhara Tokyo Institute of Technology, Tomoyuki Aotani Tokyo Institute of Technology