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 …

In the present scenario, nobody wants to compromise on computational speed when it
comes to competitive business, transferring information quickly in a communication link, or …

The promise of automatic parallelization, freeing programmers from the error-prone and time-
consuming process of making efficient use of parallel processing resources, remains …

We study five popular auto‐parallelization frameworks (Cetus, Par4all, Rose, ICC, and
Pluto) and compare them qualitatively as well as quantitatively. All the frameworks primarily …

We propose a framework based on an original generation and use of algorithmic skeletons,
and dedicated to speculative parallelization of scientific nested loop kernels, able to apply at …

Automatic parallelization is a promising strategy to improve application performance in the
multicore era. However, common programming practices such as the reuse of data …

Automatic parallelization is a promising approach to producing scalable multi-threaded
programs for multicore architectures. Many existing automatic techniques only parallelize …

Recent shell-script parallelization systems enjoy mostly automated parallel speedups by
compiling scripts ahead-of-time. Unfortunately, such static parallelization is hampered by the …

Thread-Level Speculation (TLS) overcomes limitations intrinsic with conservative compile-
time auto-parallelizing tools by extracting parallel threads optimistically and only ensuring …

The demand for thread-level-parallelism (TLP) on commodity processors is endless as it is
essential for gaining performance and saving energy. However, TLP in today's programs is …