Many techniques characterize the program working set by the notion of the program
footprint, which is the volume of data accessed in a time window. A complete …

Often, machine learning applications have to cope with dynamic environments where data
are collected in the form of continuous data streams with potentially infinite length and …

In many areas of program and system analysis and optimization, locality is a common
concept and has been defined and measured in many ways. This article aims to formally …

Because of the interference in the shared cache on multicore processors, the performance of
a program can be severely affected by its co-running programs. If job scheduling does not …

Performance metrics and models are prerequisites for scientific understanding and
optimization. This paper introduces a new footprint-based theory and reviews the research …

Shared caches in chip multi-processors (CMPs) have important benefits such as
accelerating inter-core communication, yet the inherent cache contention among multiple …

Multi-banked embedded DRAM (eDRAM) has become increasingly popular in high-
performance systems. However, the data retention problem of eDRAM is exacerbated by the …

Full characterization of the performance of a new memory technology is typically a subtle
process because of the difficulty in subjecting the memory to different access patterns before …

Edge computing (EC) has emerged as an architecture that can help reduce the energy
demand and greenhouse gas emissions of digital technologies. Edge computing offers low …

Locality is a fundamental principle used extensively in program and system optimization. It
can be measured in many ways. This paper formalizes the metrics of locality into a …