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

More specialized chips are exploiting available high transistor density to expose parallelism
at a large scale with more intricate instruction sets. This paper reports on a compilation …

The present invention extends to methods, systems, and com puter program products for
optimizing execution of kernels. Embodiments of the invention include an optimization frame …

We discuss the similarities and the differences between machine scheduling problems and
instruction scheduling problems on modern VLIW architectures such as the …

Although programming in memory-restricted environments is never easy, this holds
especially true for digital signal processing (DSP). The data-rich, computation-intensive …

Algorithms and Experiments for Parameterized Approaches to Hard Graph Problems Page
1 Einleitung Datenreduktion Iterative Kompression Farbkodierung Zusammenfassung …

This work presents a new methodology for a synthetic aperture radar (SAR) raw data
generation modeling system based on fast and efficient computations of cross-ambiguity …

In the recent years, research of special compiler techniques and algorithms for embedded
processors broaden the knowledge of how to achieve better compiler performance in …

Deep learning, particularly deep neural networks (DNNs), has led to significant
advancements in various fields, such as autonomous driving, natural language processing …

This paper presents an instruction mapping technique for generating a low-level assembly
code for digital signal processing algorithms. This technique helps developers to implement …