Name
Title | ||
|---|---|---|
A dynamic execution time estimation model to save energy in heterogeneous multicores running periodic tasks. |
Abstract | ||
|---|---|---|
Nowadays, real-time embedded applications have to cope with an increasing demand of functionalities, which require increasing processing capabilities. With this aim real-time systems are being implemented on top of high-performance multicore processors that run multithreaded periodic workloads by allocating threads to individual cores. In addition, to improve both performance and energy savings, the industry is introducing new multicore designs such as ARM’s big.LITTLE that include heterogeneous cores in the same package. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.future.2015.06.011 | Future Generation Computer Systems |
Keywords | Field | DocType |
Heterogeneous multicore architectures,Time predictable multicore architectures,Time aware energy efficiency,Energy savings,Real-time embedded systems | Computer science,Real-time computing,Frequency scaling,Multi-core processor,Distributed computing,Access time,Workload,Voltage,Parallel computing,Thread (computing),Earliest deadline first scheduling,Periodic graph (geometry),Embedded system | Journal |
Volume | Issue | ISSN |
56 | C | 0167-739X |
Citations | PageRank | References |
4 | 0.40 | 18 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Julio Sahuquillo | 1 | 420 | 53.71 |
| Houcine Hassan | 2 | 129 | 24.79 |
| Salvador Petit | 3 | 153 | 27.28 |
| José Luis March | 4 | 25 | 2.44 |
| José Duato | 5 | 3481 | 294.85 |