Electrical Engineering
      and Computer Sciences

Electrical Engineering and Computer Sciences

COLLEGE OF ENGINEERING

UC Berkeley

Type Systems for Distributed Data Structures

Ben Liblit and Alexander Aiken

EECS Department
University of California, Berkeley
Technical Report No. UCB/CSD-99-1072
January 2000

http://www.eecs.berkeley.edu/Pubs/TechRpts/1999/CSD-99-1072.pdf

Distributed-memory programs are often written using a global address space: any process can name any memory location on any processor. Some languages completely hide the distinction between local and remote memory, simplifying the programming model at some performance cost. Other languages give the programmer more explicit control, offering better potential performance but sacrificing both soundness and ease of use.

Through a series of progressively richer type systems, we formalize the complex issues surrounding sound computation with explicitly distributed data structures. We then illustrate how type inference can subsume much of this complexity, letting programmers work at whatever level of detail is needed. Experiments conducted with the Titanium programming language show that this can result in easier development and significant performance improvements over manual optimization of local and global memory.


BibTeX citation:

@techreport{Liblit:CSD-99-1072,
    Author = {Liblit, Ben and Aiken, Alexander},
    Title = {Type Systems for Distributed Data Structures},
    Institution = {EECS Department, University of California, Berkeley},
    Year = {2000},
    Month = {Jan},
    URL = {http://www.eecs.berkeley.edu/Pubs/TechRpts/2000/6233.html},
    Number = {UCB/CSD-99-1072},
    Abstract = {Distributed-memory programs are often written using a global address space: any process can name any memory location on any processor. Some languages completely hide the distinction between local and remote memory, simplifying the programming model at some performance cost. Other languages give the programmer more explicit control, offering better potential performance but sacrificing both soundness and ease of use. <p>Through a series of progressively richer type systems, we formalize the complex issues surrounding sound computation with explicitly distributed data structures. We then illustrate how type inference can subsume much of this complexity, letting programmers work at whatever level of detail is needed. Experiments conducted with the Titanium programming language show that this can result in easier development and significant performance improvements over manual optimization of local and global memory.}
}

EndNote citation:

%0 Report
%A Liblit, Ben
%A Aiken, Alexander
%T Type Systems for Distributed Data Structures
%I EECS Department, University of California, Berkeley
%D 2000
%@ UCB/CSD-99-1072
%U http://www.eecs.berkeley.edu/Pubs/TechRpts/2000/6233.html
%F Liblit:CSD-99-1072