Many modern and emerging applications must process increasingly large volumes of data.
Unfortunately, prevalent computing paradigms are not designed to efficiently handle such …

In the last few decades, technology advancements have paved the way for the creation of
intelligent and autonomous systems that utilize complex calculations which are both time …

A comprehensive overview of OpenMP, the standard application programming interface for
shared memory parallel computing—a reference for students and professionals." I hope that …

The reality of multi-core hardware has made concurrent programs pervasive. Unfortunately,
writing correct concurrent programs is difficult. Addressing this challenge requires advances …

The transactional memory programming paradigm is gaining momentum as the approach of
choice for replacing locks in concurrent programming. This paper introduces the …

Writing applications that benefit from the massive computational power of future multicore
chip multiprocessors will not be an easy task for mainstream programmers accustomed to …

Transactional memory (TM) simplifies parallel programming by guaranteeing that
transactions appear to execute atomically and in isolation. Implementing these properties …

Irregular applications, which manipulate large, pointer-based data structures like graphs, are
difficult to parallelize manually. Automatic tools and techniques such as restructuring …

Specialized on-chip accelerators are widely used to improve the energy efficiency of
computing systems. Recent advances in memory technology have enabled near-data …

Concurrency bugs are among the most difficult to test and diagnose of all software bugs. The
multicore technology trend worsens this problem. Most previous concurrency bug detection …