Published in 1996, Richard Jones's Garbage Collection was a milestone in the area of
automatic memory management. Its widely acclaimed successor, The Garbage Collection …

The need to process and store massive amounts of data—Big Data—is a reality. In areas
such as scientific experiments, social networks management, credit card fraud detection …

In a parallel, shared-memory, language with a garbage collected heap, it is desirable for
each processor to perform minor garbage collections independently. Although obvious, it is …

MultiMLton is an extension of the MLton compiler and runtime system that targets scalable,
multicore architectures. It provides specific support for ACML, a derivative of Concurrent ML …

Increasing levels of hardware parallelism are one of the main challenges for programmers
and implementers of managed runtimes. Any concurrency or scalability improvements must …

Memory management is a critical issue for correctness and performance in real-time
embedded systems. Recent work on real-time garbage collectors has shown that it is …

Managed languages typically use read barriers to interpret forwarding pointers introduced to
keep track of copied objects. For example, in a multicore environment with thread-local …

Constructing a high-performance garbage collector is hard. Constructing a fully concurrent
'on-the-fly'compacting collector is much more so. We describe our experience of …

Stack allocation of objects reduces the cost of object allocation and garbage collection and
can thus lead to large reductions in runtime. Escape analysis can statically determine which …

Reference locality is vital to the performance of parallel Garbage Collection (GC) running on
Non-Uniform Memory Access (NUMA) machines. A GC thread may trace remotely placed …