Thread-Level Speculation (TLS) is a promising technique that allows the parallel execution
of sequential code without relying on a prior, compile-time-dependence analysis. In this …

A major task of parallelization with OpenMP is to decide where in a program to insert which
OpenMP construct such that speedup is maximized and correctness is preserved. Another …

OpenMP is a parallel computing framework that provides programmers with a set of
directives and clauses to use when writing parallel applications. The most important task in …

The user of a computing facility must make a critical decision when submitting jobs for
execution: how many resources (such as cores, memory, and disk) should be requested for …

This paper presents a detailed analysis of the application of Hardware Transactional
Memory (HTM) support for loop parallelization with Thread-Level Speculation (TLS) and …

Handling the ever-increasing complexity of mesh generation codes along with the intricacies
of newer hardware often results in codes that are both difficult to comprehend and maintain …

Extreme-scale computing involves hundreds of millions of threads with multi-level
parallelism running on large-scale hierarchical and heterogeneous hardware. Some …

Emotion-aware computing can recognize, interpret, process, and simulate human affects.
These programs in this area are compute-intensive applications, so they need to be …

Finite-element methods are a critical component of the design and analysis procedures of
many (bio-) engineering applications. Mesh adaptation is one of the most crucial …

Parallelization constructs in OpenMP, such as parallel for or taskloop, are typically restricted
to loops that have no loop-carried dependencies (DOALL) or that contain well-known …