Applying the Adaptive Hybrid Flow-Shop Scheduling Method to Schedule a 3GPP LTE Physical Layer Algorithm onto Many-Core Digital Signal Processors

Abstract : Currently, Multicore Digital Signal Processor (DSP) platforms are commonly used in telecommunications baseband processing. In the next few years, high performance DSPs are likely to combine many more DSP cores for signal processing with some General-Purpose Processor (GPP) cores for application control. As the number of cores increases in new DSP platform designs, scheduling of applications is becoming a complex operation. Meanwhile, the variability of the scheduled applications also tends to increase as applications become more sophisticated. Such variations require runtime adaptivity of application scheduling. This paper extends the previous work on adaptive scheduling by using the Hybrid Flow-Shop (HFS) scheduling method, which enables the device architecture to be modeled as a pipeline of Processing Elements (PEs) with multiple alternate PEs for each pipeline stage. HFS scheduling is applied to the scheduling of 3rd Generation Partnership Project (3GPP) Long Term Evolution (LTE) telecommunication standard Uplink Physical Layer data processing (PUSCH). The experiments, conducted on an ARM Cortex-A9 GPP, show that an HFS scheduling algorithm has an overhead that increases very slowly with the number of PEs. This makes the method suitable for executing the adaptive scheduling in less than 1 ms for the 501 actors of a LTE PUSCH dataflow description executed on a 256-core architecture.
Liste complète des métadonnées

Cited literature [11 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-00877643
Contributor : Julien Heulot <>
Submitted on : Monday, May 12, 2014 - 2:46:48 PM
Last modification on : Monday, February 25, 2019 - 3:14:07 PM
Document(s) archivé(s) le : Tuesday, August 12, 2014 - 11:56:39 AM

File

AHS2013_Heulot.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00877643, version 2

Citation

Julien Heulot, Jani Boutellier, Maxime Pelcat, Jean François Nezan, Slaheddine Aridhi. Applying the Adaptive Hybrid Flow-Shop Scheduling Method to Schedule a 3GPP LTE Physical Layer Algorithm onto Many-Core Digital Signal Processors. NASA/ESA Conference on Adaptive Hardware and Systems (AHS-2013), Jun 2013, Turino, Italy. pp.Pages 123 - 129. ⟨hal-00877643v2⟩

Share

Metrics

Record views

457

Files downloads

213