Software-intensive systems in most domains, from autonomous vehicles to health, are
becoming predominantly parallel to efficiently manage large amount of data in short (even …

Datacenter operators today strive to support microsecond-latency applications while also
using their limited CPU resources as efficiently as possible. To achieve this, several recent …

We present OpenStream, a data-flow extension of OpenMP to express dynamic dependent
tasks. The language supports nested task creation, modular composition, variable and …

This paper explores how fork-join parallelism, as supported by concurrency platforms such
as Cilk and OpenMP, can be embedded into a compiler's intermediate representation (IR) …

DARPA's Ubiquitous High-Performance Computing (UHPC) program asked researchers to
develop computing systems capable of achieving energy efficiencies of 50 GOPS/Watt …

Existing dynamic race detectors suffer from at least one of the following three limitations:(i)
space overhead per memory location grows linearly with the number of parallel threads [13] …

We present Realm, an event-based runtime system for heterogeneous, distributed memory
machines. Realm is fully asynchronous: all runtime actions are non-blocking. Realm …

Effective combination of inter-node and intra-node parallelism is recognized to be a major
challenge for future extreme-scale systems. Many researchers have demonstrated the …

Indoor localization and tracking have attracted growing attention because of its widely
application for indoor location-based services (LBSs). However, for indoor localization, only …

The age of multi-core computers is upon us, yet current programming languages, typically
designed for single-core computers and adapted post hoc for multi-cores, remain tied to the …