The main intention of this book is to give an impression of the state-of-the-art in system-level
memory management (data transfer and storage) related issues for complex data-dominated …

We present a technique for deriving predictions for the run times of parallel applications from
the run times of “similar” applications that have executed in the past. The novel aspect of our …

During the course of the last decade, a mathematical model for the parallelization of FOR-
loops has become increasingly popular. In this model, a (perfect) nest of r FOR-loops is …

Data Access and Storage Management for Embedded Programmable Processors gives an
overview of the state-of-the-art in system-level data access and storage management for …

The widespread use of object-oriented languages and Internet security concerns are just the
beginning. Add embedded systems, multiple memory banks, highly pipelined units …

There has been a great amount of recent work toward unifying iteration reordering
transformations. Many of these approaches represent transformations as affine mappings …

We present a framework for unifying iteration reordering transformations such as loop
interchange, loop distribution, skewing, tiling, index set splitting and statement reordering …

In this paper, we survey loop parallelization algorithms, analyzing the dependence
representations they use, the loop transformations they generate, the code generation …

This paper presents a new polyhedra scanning system called CodeGen+ to address the
challenge of generating high-performance code for complex iteration spaces resulting from …

A common feature of many scalable parallel machines is non-uniform memory access
(NUMA)--data access to local memory is much faster than to non-local memories. In …