Recently, MPI has become widely used in many scientific applications, including different
non-computer science fields, for parallelizing their applications. An MPI programming model …

Complex code bases require continual testing to ensure that both new development and
routine maintenance do not create unintended side effects. Automation of regression testing …

High-Performance Computing (HPC) is currently facing significant challenges. The
hardware pressure has become increasingly difficult to manage due to the lack of parallel …

Building massively parallel applications has become increasingly important with coming
Exascale related technologies. For building these applications, a combination of …

The importance of high-performance computing is increasing, and Exascale systems will be
feasible in a few years. These systems can be achieved by enhancing the hardware's ability …

Among the message passing environments, MPI (Message Passing Interface) has been
considered by several authors as the de facto standard to build parallel software. In spite of …

As the development of high-performance computing (HPC) is growing, exascale computing
is on the horizon. Therefore, it is imperative to develop parallel systems, such as graphics …

MPI is the most widely used parallel programming model. But the reducing amount of
memory per compute core tends to push MPI to be mixed with shared-memory approaches …

High-Performance Computing (HPC) recently has become important in several sectors,
including the scientific and manufacturing fields. The continuous growth in building more …

Large message passing programs today are being deployed on clusters with hundreds, if
not thousands of processors. Any programming bugs that happen will be very hard to debug …