Distributed systems have become the backbone of modern clouds. Users often expect high
scalability and performance isolation from distributed systems. Unfortunately, a type of poor …

This article systematically studies 99 distributed performance bugs from five widely deployed
distributed storage and computing systems (Cassandra, HBase, HDFS, Hadoop …

It is difficult to scale parallel programs in a system that employs a large number of cores. To
identify scalability bottlenecks, existing tools principally pinpoint poor thread synchronization …

Inefficiencies abound in complex, layered software. A variety of inefficiencies show up as
wasteful memory operations. Many existing tools instrument every load and store instruction …

Software performance is a critical quality attribute that determines the success of a software
system. However, practitioners lack comprehensive and holistic understanding of how real …

As ever more computation shifts onto multicore architectures, it is increasingly critical to find
effective ways of dealing with multithreaded performance bugs like true and false sharing …

Shared-memory parallel programs routinely suffer from false sharing---a performance
degradation caused by different threads accessing different variables that reside on the …

The field of machine programming (MP), the automation of the development of software, is
making notable research advances. This is, in part, due to the emergence of a wide range of …

Contention for shared memory, in the forms of true sharing and false sharing, is a
challenging performance bug to discover and to repair. Understanding cache contention …

False sharing is a notorious performance problem that may occur in multithreaded programs
when they are running on ubiquitous multicore hardware. It can dramatically degrade the …