Quipu
| Autor: | Carlo Galuzzi, Vlad-Mihai Sima, S. Arash Ostadzadeh, Koen Bertels, Razvan Nane, Roel Meeuws |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
General Computer Science
Computer science business.industry 020207 software engineering Statistical model 02 engineering and technology Partition (database) Toolchain Bridge (nautical) 020202 computer hardware & architecture Domain (software engineering) Set (abstract data type) 0202 electrical engineering electronic engineering information engineering business Legacy code Structured systems analysis and design method Computer hardware |
| Zdroj: | ACM Transactions on Reconfigurable Technology and Systems |
| ISSN: | 1936-7414 1936-7406 |
| DOI: | 10.1145/2457443.2457446 |
| Popis: | There has been a steady increase in the utilization of heterogeneous architectures to tackle the growing need for computing performance and low-power systems. The execution of computation-intensive functions on specialized hardware enables to achieve substantial speedups and power savings. However, with a large legacy code base and software engineering experts, it is not at all obvious how to easily utilize these new architectures. As a result, there is a need for comprehensive tool support to bridge the knowledge gap of many engineers as well as to retarget legacy code. In this article, we present the Quipu modeling approach, which consists of a set of tools and a modeling methodology that can generate hardware estimation models, which provide valuable information for developers. This information helps to focus their efforts, to partition their application, and to select the right heterogeneous components. We present Quipu ’s capability to generate domain-specific models, that are up to several times more accurate within their particular domain (error: 4.6%) as compared to domain-agnostic models (error: 23%). Finally, we show how Quipu can generate models for a new toolchain and platform within a few days. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|