Reuse distance analysis is a well-established tool for predicting cache performance, driving
compiler optimizations, and assisting visualization and manual optimization of programs …

The introduction of general-purpose microprocessors running multiple threads will put a
focus on methods and tools helping a programmer to write efficient parallel applications …

Refactoring for data locality opens a new avenue for performance-oriented program
rewriting. SLO has broken down a large part of the complexity that software developers face …

Due to the huge speed gaps in the memory hierarchy of modern computer architectures, it is
important that programs maintain a good data locality. Improving temporal locality implies …

Information systems can be visualized with many tools. Typically these tools present
functional artifacts from various phases of the development life-cycle; these include …

In SMT processors, the complex interplay between private and shared datapath resources
needs to be considered in order to realize the full performance potential. In this paper, we …

Abstract Most modern 16-bit and 32-bit embedded processors contain cache memories to
further increase instruction throughput of the device. Embedded processors that contain …

The growing speed gap between memory and processor makes an efficient use of the cache
ever more important to reach high performance. One of the most important ways to improve …

The prevalence of multicore architectures has made the performance analysis of
multithreaded applications an intriguing area of inquiry. An understanding of locality effects …

Profiling can effectively analyze program behavior and provide critical information for
feedback-directed or dynamic optimizations. Based on memory profiling, reuse distance …