Atomic structure prediction and associated property calculations are the bedrock of chemical
physics. Since high-fidelity ab initio modeling techniques for computing the structure and …

The growing memory demands of modern applications have driven the adoption of far
memory technologies in data centers to provide cost-effective, high-capacity memory …

In-Memory Graph Databases for Web-Scale Data Page 1 24 COMPUTER PUBLISHED BY THE
IEEE COMPUTER SOCIETY 0018-9162/15/$31.00 © 2015 IEEE COVER FEATURE BIG DATA …

This paper introduces Itoyori, a task-parallel runtime system designed to tackle the
challenge of scaling task parallelism (more specifically, nested fork-join parallelism) beyond …

We investigated a software cache for PGAS PUT and GET operations. The cache is
implemented as a software write-back cache with dirty bits, local memory consistency …

The unprecedented amount of data that needs to be processed in emerging data analytics
applications poses novel challenges to industry and academia. Scalability and high …

The need for coupling high performance with productivity is steering the recent evolution of
the C++ language where low-level aspects of parallel and distributed computing are now …

Graph-parallel computation has become a crucial component in emerging applications of
web search, data analytics and machine learning. In practice, most graphs derived from real …

Distributed systems incorporate GPUs because they provide massive parallelism in an
energy-efficient manner. Unfortunately, existing programming models make it difficult to …

OpenSHMEM is a highly efficient one-sided communication API that implements the PGAS
parallel programming model, and is known for its low latency communication operations that …