Error detection and performance analysis of parallel programs is tedious and difficult,
especially in massively-parallel environments. Many concurrently executing and …

Large scale high-performance computing systems pose a tough obstacle for todays program
analysis tools. Their demands in computational performance and memory capacity for …

To achieve a certain degree of confidence that a given program follows its specification, a
testing phase must be included in the program development process, and also a …

The accepted approach in industry today to ensure out-going quality in high-volume
manufacturing of analog circuits is to measure datasheet specifications. The lack of a …

On-line tools for parallel and distributed programs require a facility to observe and possibly
manipulate the programs' run-time behavior, a so called monitoring system. Currently, most …

Distributed, large-scale computing is typically performed using textual general-purpose
programming languages. This requires significant programming skills associated with the …

Translating from a problem description given in a natural language to a solution expressed
in a programming language requires many complex steps. Though many of these steps can …

The paper introduces the concept of collective breakpoints and classifies the possible
parallel breakpoints comparing their mechanisms. Based on the collective breakpoints the …

Task scheduling is one of the most prominent problems in the era of parallel computing. We
find scheduling algorithms in every domain of computer science, eg, map** …

A theory of training-based learning control is developed for a class of robotic tasks under
geometric endpoint constraints. An algorithm for updating the control input which makes the …