The locality metrics are many, for example, miss ratio to test performance, data footprint to
manage cache sharing, and reuse distance to analyze and optimize a program. It is unclear …

The in-memory cache system is a performance-critical layer in today's web server
architecture. Memcached is one of the most effective, representative, and prevalent among …

As we approach exascale, the scientific simulations are expected to experience more
interruptions due to increased system failures. Designing better HPC resilience techniques …

Modern software executes a large amount of code. Previous techniques of code layout
optimization were developed one or two decades ago and have become inadequate to cope …

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 …

On modern multi-core processors, independent workloads often interfere with each other by
competing for shared cache space. However, for multi-threaded workloads, where a single …

In modern multi-core processors, last-level caches (LLCs) are typically shared among
multiple cores. Previous works have shown that such sharing is beneficial as different …

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

Reuse distance is an important metric for analytical estimation of cache miss rate. To find the
miss rate of a particular cache, the reuse distance profile has to be measured for that …

Data access has become the preeminent performance bottleneck of computing. In this study,
a Layered Performance Matching (LPM) model and its associated algorithm are proposed to …