Name
Title | ||
|---|---|---|
An energy efficient multi-target binary translator for instruction and data level parallelism exploitation |
Abstract | ||
|---|---|---|
Embedded devices are omnipresent in our daily routine, from smartphones to home appliances, that run data and control-oriented applications. To maximize the energy-performance tradeoff, data and instruction-level parallelism are exploited by using superscalar and specific accelerators. However, as such devices have severe time-to-market, binary compatibility should be maintained to avoid recurrent engineering, which is not considered in current embedded processors. This work visited a set of embedded applications showing the need for concurrent ILP and DLP exploitation. For that, we propose a Hybrid Multi-Target Binary Translator (HMTBT) to transparently exploit ILP and DLP by using a CGRA and ARM NEON engine as targeted accelerators. Results show that HMTBT transparently achieves 24% performance improvements and 54% energy savings over an OoO superscalar processor coupled to an ARM NEON engine. The proposed approach improves performance and energy in 10%, 24% over decoupled binary translators using the same accelerator with the same ILP and DLP capabilities. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1007/s10617-021-09258-6 | Design Automation for Embedded Systems |
Keywords | DocType | Volume |
CGRA, ARM NEON, ILP, DLP, Binary Translator | Journal | 26 |
Issue | ISSN | Citations |
1 | 0929-5585 | 0 |
PageRank | References | Authors |
0.34 | 3 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tiago Knorst | 1 | 0 | 0.34 |
| Julio Vicenzi | 2 | 0 | 0.34 |
| Michael G. Jordan | 3 | 0 | 0.34 |
| Jonathan H. de Almeida | 4 | 0 | 0.34 |
| Guilherme Korol | 5 | 3 | 5.16 |
| Antonio C. S. Beck | 6 | 0 | 0.34 |
| Mateus B. Rutzig | 7 | 0 | 0.34 |