This paper presents the first systematic study on co-scheduling independent jobs on
integrated CPU-GPU systems with power caps considered. It reveals the performance …

JavaScript emerges today as one of the most important programming languages for the
development of client-side web applications. Therefore, it is essential that browsers be able …

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

Feedback-driven program optimization (FDO) is common in modern compilers, including
Just-In-Time compilers increasingly adopted for object-oriented or scripting languages. This …

Big Data is characterized by the increasing volume (of the order of zeta bytes) and velocity of
data generation. It is projected that the market size of Big Data shall climb up to 53.7 …

Function versioning is an approach to addressing input-sensitivity of program optimizations.
A major side effect of it is notable code size increase, which has been hindering its broad …

Academia has spent much effort into making context-sensitive analyses practical, with great
profit. However, the implementation of context-sensitive optimizations, in contrast to …

The growing gap between the advanced capabilities of static compilers as reflected in
benchmarking results and the actual performance that users experience in real-life …

Competition for shared memory resources on multiprocessors is the dominant cause for
slowing down applications and making their performance varies unpredictably. It …

This work aims to find out the full potential of compilation scheduling for JIT-based runtime
systems. Compilation scheduling determines the order in which the compilation units (eg …