This paper studies the effects of hardware thread scheduling on cache management in
GPUs. We propose Cache-Conscious Wave front Scheduling (CCWS), an adaptive …

This paper uses hardware thread scheduling to improve the performance and energy
efficiency of divergent applications on GPUs. We propose Divergence-Aware Warp …

To achieve short pauses, state-of-the-art concurrent copying collectors such as C4,
Shenandoah, and ZGC use substantially more CPU cycles and memory than simpler …

Although network intrusion detection systems (nIDS) are widely used, there is limited
understanding of how these systems perform in different settings and how they should be …

GPUs have become part of most commodity systems. Nonetheless, they are often
underutilized when not executing graphics-intensive or special-purpose numerical …

Garbage collection may benefit greatly from knowledge about program behavior, but most
managed languages do not provide means for the programmer to deliver such knowledge …

As processors evolve towards higher core counts, architects will develop more sophisticated
memory systems to satisfy the cores' increasing thirst for memory bandwidth. Early many …

Garbage collection is an element of many contemporary software platforms whose
performance is determined by complex interactions and is therefore difficult to quantify and …

Debugging garbage collectors for performance and correctness is notoriously difficult.
Among the arsenal of tools available to systems engineers, support for one of the most …

Tracing garbage collectors are widely deployed in modern programming languages. But
tracing an arbitrary heap shape incurs poor locality and may hinder scalability. In this paper …