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Wed 21 Jun 2017 11:10 - 11:35 at Auditorium, Vertex Building - Systems and Performance Chair(s): Dan Grossman

Competitive and cooperative threading are widely used abstractions in computing. In competitive threading, threads are scheduled preemptively with the goal of minimizing response time, usually of interactive applications. In cooperative threading, threads are scheduled non-preemptively with the goal of maximizing throughput or minimizing the completion time, usually in compute-intensive applications, e.g. scientific computing, machine learning and AI.

Although both of these forms of threading rely on the same abstraction of a thread, they have, to date, remained largely separate forms of computing. Motivated by the recent increase in the mainstream use of multicore computers, we propose a threading model that aims to unify competitive and cooperative threading. To this end, we extend the classic graph-based cost model for cooperative threading to allow for competitive threading, and describe how such a cost model may be used in a programming language by presenting a language and a corresponding cost semantics. Finally, we show that the cost model and the semantics are realizable by presenting an operational semantics for the language that specifies the behavior of an implementation, and presenting an implementation and a small empirical evaluation.

Wed 21 Jun

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

10:20 - 12:00
Systems and PerformancePLDI Research Papers at Auditorium, Vertex Building
Chair(s): Dan Grossman University of Washington
10:20
25m
Talk
Low-Synchronization, Mostly Lock-Free, Elastic Scheduling for Streaming Runtimes
PLDI Research Papers
Scott Schneider IBM Research, Kun-Lung Wu IBM Research
Media Attached
10:45
25m
Talk
Practical Partial Evaluation for High-Performance Dynamic Language Runtimes
PLDI Research Papers
Thomas Wuerthinger Oracle Labs, Christian Wimmer , Christian Humer Oracle Labs, Switzerland, Andreas Woess Oracle Labs, Lukas Stadler Oracle Labs, Austria, Chris Seaton Oracle Labs, Gilles Duboscq Oracle Labs, Doug Simon Oracle Labs, Matthias Grimmer Oracle Labs, Austria
Media Attached
11:10
25m
Talk
Responsive Parallel Computation: Bridging Competitive and Cooperative Threading
PLDI Research Papers
Stefan K. Muller , Umut A. Acar Carnegie Mellon University, Robert Harper CWI
Media Attached
11:35
25m
Talk
StreamQRE: Modular Specification and Efficient Evaluation of Quantitative Queries over Streaming Data
PLDI Research Papers
Konstantinos Mamouras University of Pennsylvania, Mukund Raghotaman University of Pennsylvania, Rajeev Alur University of Pennsylvania, Zachary G. Ives University of Pennsylvania, Sanjeev Khanna University of Pennsylvania
Media Attached