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

We present mpi4py. futures, a lightweight, asynchronous task execution framework targeting
the Python programming language and using the Message Passing Interface (MPI) for …

Distributed memory programming is the established paradigm used in high-performance
computing (HPC) systems, requiring explicit communication between nodes and devices …

The RAMP project's goal is to enable the intensive, multidisciplinary innovation that the
computing industry will need to tackle the problems of parallel processing. RAMP itself is an …

Multi-core shared memory architectures are ubiquitous in both High-Performance
Computing (HPC) and commodity systems because they provide an excellent trade-off …

High performance on distributed memory machines for programming models with dynamic
thread creation and multithreading requires efficient thread management and …

MPI is a proposed standard message passing interface originally designed for writing
applications and libraries for distributed memory environments. The main advantages of …

We present a platform independent runtime interface for moving data and computation
through parallel machines with multi-level memory hierarchies. We show that this interface …

This paper describes the design and evaluation of SAM, a shared object system for
distributed memory machines. SAM is a portable run-time system that provides a global …

To harness a heterogeneous memory hierarchy, it is advantageous to integrate application
knowledge in guiding frequent memory move, ie, replicating or migrating virtual memory …