Compiler-based auto-parallelization is a much studied area, yet has still not found wide-
spread application. This is largely due to the poor exploitation of application parallelism …

Speeding up sequential programs on multicores is a challenging problem that is in urgent
need of a solution. Automatic parallelization of irregular pointer-intensive codes, exemplified …

Compiler-based auto-parallelization is a much-studied area but has yet to find widespread
application. This is largely due to the poor identification and exploitation of application …

In recent years multi-core computer systems have left the realm of high-performance
computing and virtually all of today's desktop computers and embedded computing systems …

Traditional parallelism detection in compilers is performed by means of static analysis and
more specifically data and control dependence analysis. The information that is available at …

Improving sequential performance of out-of-order processors is becoming harder. Further
improvements may require exploitation of thread-level parallelism, on top of ILP, as it can …

This paper describes the design and implementation of the distributed array query and
visualization (DAQV) framework, a project sponsored by the Parallel Tools Consortium …

We describe Nestor, a library to easily manipulate Fortran programs through a high level
internal representation based on C++ classes. Nestor is a research tool that can be used to …

We present ongoing research in the area of transforming existing sequential Fortran
programs into their parallel equivalents. We propose a semi-automated parallelization …

Pressure microsensors are very frequently used for applications encompassing a wide
range of operating pressure ranges. However, it is possible to use the same pressure sensor …