Established benchmark suites for the Java Virtual Machine (JVM), such as DaCapo,
ScalaBench, and SPECjvm2008, lack workloads that take advantage of the parallel …

Arbitrary program extension at run time in language-based VMs, eg, Java's dynamic class
loading, comes at a startup cost: high memory footprint and slow warmup. Cloud computing …

Data stalls are a major overhead in main-memory database engines due to the use of
pointer-rich data structures. Lightweight coroutines ease the implementation of software …

Inlining is a core transformation in optimizing compilers. It replaces a function call (call site)
with the body of the called function (callee). It helps reduce function call overhead and …

For the past 25 years, we have witnessed an extensive application of Machine Learning to
the Compiler space; the selection and the phase-ordering problem. However, limited works …

Availability of profiling information is a major advantage of just-in-time (JIT) compilation.
Profiles guide the compilation order and optimizations, thus substantially improving program …

Users may now choose from a vast range of compiler optimizations. These optimizations
interact in a variety of sophisticated ways with one another and with the source code. The …

Binary similarity analysis is critical to many code-reuse-related issues, where function
matching is its fundamental task.“1-to-1” mechanism has been applied in most binary …

Inlining is the primary facilitating mechanism for intraprocedural Partial Escape Analysis
(PEA), which allows for the removal of object allocations on a branch-by-branch basis and is …

The fastest JavaScript production implementations use just-in-time (JIT) compilation and the
vast majority of academic publications about implementations of dynamic languages …