This paper investigates how dynamic branch prediction in a microprocessor affects the
predictability of execution time for software running on that processor. By means of …

It is becoming increasingly difficult to ignore the importance of graph theory and it's
application in various scientific areas. There is an urgent need for new tools to investigate …

Parallel computing is increasingly becoming a core component of undergraduate computing
curricula. It is not only part of degree programs in computer science or computer engineering …

The transition from a curriculum without parallelism topics to a re-designed curriculum that
incorporates such issues can be a daunting and time-consuming process. Therefore, it is …

The connection between scientific computing and graph theory is detailed for a problem
called bidirectional compression. This problem consists of finding a pair of seed matrices in …

Numerical techniques involving linearizations of nonlinear functions require the repeated
solution of systems of linear equations whose coefficient matrix is the Jacobian of that …

Combinatorial scientific computing refers to the field of using combinatorial algorithms to
solve problems in computational science and data science. Teaching even elementary …

Graph colouring problem is a well-known NP-class optimization problem, studied due to a
lot of applications in various real-world problems. Some of these applications are: register …

Applications of graph theory are ubiquitous in many different scientific areas. Therefore
various software tools are available that aim at explaining graph concepts and graph …

Simulation in teaching has recently entered the field of education. It is used at different levels
of instruction. The teacher is trained practically and also imparted theoretical learning. In …