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A discrete-event simulation (DES) involves the execution of a sequence ofevent handlers dynamically scheduled at runtime. As a consequence, a prioriknowledge of the control flow of the overall simulation program is limited. Inparticular, powerful optimizations supported by modern compilers can only beapplied on the scope of individual event handlers, which frequently involveonly a few lines of code. We propose a method that extends the scope forcompiler optimizations in discrete-event simulations by generating batches ofmultiple events that are subjected to compiler optimizations as contiguousprocedures. A runtime mechanism executes suitable batches at negligibleoverhead. Our method does not require any compiler extensions and introducesonly minor additional effort during model development. The feasibility andpotential performance gains of the approach are illustrated on the example ofan idealized proof-ofconcept model. We believe that the applicability of theapproach extends to general event-driven programs.

Enabling Cross-Event Optimization in Discrete-Event Simulation Through Compile-Time Event Batching