An empirical evaluation of performance m

The performance of the Time Warp mechanism is experimentally evaluated when only a limited amount of memory is available to the parallel computation. An implementation of the cancelback protocol is used for memory management on a shared memory architecture to assess the performance versus memory tradeoff. Through various synthetic and benchmark programs, the study investigates how limited memory influences Time Warp behavior. Key findings indicate that allowing for the cancellation of multiple memory objects can significantly improve performance, particularly when memory is constrained. Additionally, the research reveals that there exists a well-defined speedup versus memory curve, showing rapid performance benefits with increased memory up to a certain limit, beyond which gains are minimal. The study concludes that with effective memory management, performance near that of full-memory operation can be achieved with only a modest increase in memory, challenging the notion that significant memory is essential for optimal Time Warp execution.