Improving performance is a central concern for software developers. To locate optimization
opportunities, developers rely on software profilers. However, these profilers only report …

Detecting parallelizable code regions is a challenging task, even for experienced
developers. Numerous recent studies have explored the use of machine learning for code …

Many recent parallelization tools lower the barrier for parallelizing a program, but overlook
one of the first questions that a programmer needs to answer: which parts of the program …

As multicore processors are deployed in mainstream computing, the need for software tools
to help parallelize programs is increasing dramatically. Data-dependence profiling is an …

Calling contexts are very important for a wide range of applications such as profiling,
debugging, and event logging. Most applications perform expensive stack walking to …

Software engineers now face the difficult task of refactoring serial programs for parallel
execution on multicore processors. Currently, they are offered little guidance as to how much …

This paper describes a tool using one or more executions of a sequential program to detect
parallel portions of the program. The tool, called Par wiz, uses dynamic binary …

The stagnation of single-core performance leaves application developers with software
parallelism as the only option to further benefit from Moore's Law. However, in view of the …

Identifying suitable parallelizable regions in sequential programs is a crucial task for
performance optimizations. Traditional methods like static and dynamic analysis have flaws …

Abstract Development of the parallel processing technology is necessary to solve problems
created by programs with complex structures that are computation-and data-intensive. In the …