Why Comparing System-Level MPSoC Mapping Approaches is Difficult: A Case Study
Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review
Contributors
Abstract
Software abstractions are crucial to effectively program heterogeneous Multi-Processor Systems on Chip (MPSoCs). Prime examples of such abstractions are Kahn Process Networks (KPNs) and execution traces. When modeling computation as a KPN, one of the key challenges is to obtain a good mapping, i.e., an assignment of logical computation and communication to physical resources. In this paper we compare two system-level frameworks for solving the mapping problem: Sesame and MAPS. These frameworks, while superficially similar, embody different approaches. Sesame, motivated by modeling and design-space exploration, uses evolutionary algorithms for mapping. MAPS, being a compiler framework, uses simple and fast heuristics instead. In this work we highlight the value of common abstractions, such as KPNs and traces, as a vehicle to enable comparisons between large independent frameworks. These types of comparisons are fundamental for advancing research in the area. At the same time, we illustrate how the lack of formalized models at the hardware level are an obstacle to achieving fair comparisons. Additionally, using a set of applications from the embedded systems domain, we observe that genetic algorithms tend to outperform heuristics by a factor between 1× and 5×, with notable exceptions. This performance comes at the cost of a longer computation time, between 0 and 2 orders of magnitude in our experiments.
Details
Original language | English |
---|---|
Title of host publication | Proceedings - IEEE 10th International Symposium on Embedded Multicore/Many-Core Systems-on-Chip, MCSoC 2016 |
Publisher | IEEE, New York [u. a.] |
Pages | 281-288 |
Number of pages | 8 |
ISBN (electronic) | 9781509035304 |
Publication status | Published - 5 Dec 2016 |
Peer-reviewed | Yes |
Publication series
Series | IEEE International Symposium on Embedded Multicore Socs (MCSoC) |
---|
Conference
Title | 10th IEEE International Symposium on Embedded Multicore/Many-Core Systems-on-Chip, MCSoC 2016 |
---|---|
Duration | 21 - 23 September 2016 |
City | Lyon |
Country | France |
External IDs
ORCID | /0000-0002-5007-445X/work/141545571 |
---|
Keywords
Research priority areas of TU Dresden
ASJC Scopus subject areas
Keywords
- comparison, design-space-exploration, genetic algorithms, heuristics, KPN, mapping, MPSoC, system-level