While considerable research has been directed at automatic parallelization for shared-
memory platforms, little progress has been made in automatic parallelization schemes for …

Loop tiling is a key high-level transformation which is known to maximize locality in loop
intensive programs. It has been successfully applied to a number of applications including …

This work offers in-depth analysis of three different darknet datasets captured in 2004, 2006
and 2008 to provide insights into the nature of backscatter traffic. Moreover, we analyzed …

Applications running on clusters of shared-memory computers are often implemented using
OpenMP+ MPI. Productivity can be vastly improved using task-based programming, a …

The polyhedral model has repeatedly shown how it facilitates various loop transformations,
including loop parallelization, loop tiling, and software pipelining. However, parallelism is …

Due to the design of computer systems in the multi‐core and/or multi‐processor form, it is
possible to use the maximum capacity of processors to run an application with the least time …

Most important scientific and engineering applications have complex computations or large
data. In all these applications, a huge amount of time is consumed by nested loops …

Massively parallel and heterogeneous systems together with their APIs have been used for
various applications. To achieve high-performance software, the programmer should …

При реализации алгоритмов на многопроцессорных вычислительных устройствах
важнейшую роль для достижения высокой производительности играет локальность …

Аннотация Степень использования памяти с быстрым доступом отражает
вычислительное свойство алгоритма, называемое локальностью. Для параллельных …