Thu 11 Jan 2018 11:20 - 11:45 at Watercourt - Program Analysis I Chair(s): Tachio Terauchi

We present a new dynamic partial-order reduction method for stateless model checking of concurrent programs. A common approach for exploring program behaviors relies on enumerating the traces of the program, without storing the visited states (aka stateless exploration). As the number of distinct traces grows exponentially, dynamic partial-order reduction (DPOR) techniques have been successfully used to partition the space of traces into equivalence classes (Mazurkiewicz partitioning), with the goal of exploring only few representative traces from each class.

We introduce a new equivalence on traces under sequential consistency semantics, which we call the observation equivalence. Two traces are observationally equivalent if every read event observes the same write event in both traces. While the traditional Mazurkiewicz equivalence is control-centric, our new definition is data-centric. We show that our observation equivalence is coarser than the Mazurkiewicz equivalence, and in many cases even exponentially coarser. We devise a DPOR exploration of the trace space, called data-centric DPOR, based on the observation equivalence.

  1. For acyclic architectures, our algorithm is guaranteed to explore exactly one representative trace from each observation class, while spending polynomial time per class. Hence, our algorithm is optimal wrt the observation equivalence, and in several cases explores exponentially fewer traces than any enumerative method based on the Mazurkiewicz equivalence.

  2. For cyclic architectures, we consider an equivalence between traces which is finer than the observation equivalence; but coarser than the Mazurkiewicz equivalence, and in some cases is exponentially coarser. Our data-centric DPOR algorithm remains optimal under this trace equivalence.

Finally, we perform a basic experimental comparison between the recently introduced, Mazurkiewicz-based source-DPOR and our data-centric DPOR. Our results show a significant reduction in both running time and the number of explored equivalence classes.

Thu 11 Jan

Displayed time zone: Tijuana, Baja California change

10:30 - 12:10
Program Analysis IResearch Papers at Watercourt
Chair(s): Tachio Terauchi Waseda University
10:30
25m
Talk
Inference of Static Semantics for Incomplete C Programs
Research Papers
Pre-print
10:55
25m
Talk
Optimal Dyck Reachability for Data-dependence and Alias Analysis
Research Papers
Krishnendu Chatterjee IST Austria, Andreas Pavlogiannis IST Austria, Bhavya Choudhary IIT Bombay
11:20
25m
Talk
Data-centric Dynamic Partial Order Reduction
Research Papers
Marek Chalupa Masaryk University, Krishnendu Chatterjee IST Austria, Andreas Pavlogiannis IST Austria, Kapil Vaidya IIT Bombay, Nishant Sinha IBM Research
11:45
25m
Talk
Analytical Modeling of Cache Behavior for Affine Programs
Research Papers
Wenlei Bao Ohio State University, Sriram Krishnamoorthy Pacific Northwest National Laboratories, Louis-Noël Pouchet Colorado State University, P. Sadayappan Ohio State University