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Mitzi Freeman

dblp:82/7705 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1987
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Programming languages and type systems · 50% Concurrent programming · 50%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Programming languages and type systems
language design
0.011987
CCAL: An interpreted language for experimentation in concurrent control · PLDI 1987
Distributed systems › distributed programming
distributed program execution
0.011987
CCAL: An interpreted language for experimentation in concurrent control · PLDI 1987

Methods — techniques the papers use, named apart from their topics

interpreter · 0.0
YearPublicationVenuePosition
1987 CCAL: An interpreted language for experimentation in concurrent control
abstract
Concurrent Control Abstraction Language, CCAL, is an interpreted language which provides no particular control regime to the user. CCAL instead supports five primitive operations which manipulate an abstract model of inter-procedural control. This model is intrinsically concurrent, and the user is allowed to construct high-level concurrent control operations from the primitives (hence, control abstraction). The primary use of CCAL is as a vehicle by which rapid prototyping of application specific control forms may be done and as a tool for the construction and evaluation of novel control forms, especially control forms for highly concurrent and distributed systems. The CCAL interpreter is implemented as a distributed program on a network of Vaxen and Sun-3 workstations under 4.2bsd and 4.3bsd Unix1. CCAL programs appear as multi-process programs in a shared memory system. Both true and apparent concurrency are possible. This paper describes the control abstraction facilities offered by the CCAL interpreter, its use, and implementation strategies in the distributed environment.
Phil Kearns, Chris Cipriani, Mitzi Freeman
PLDI3