TY  - JOUR
AU  - Mazumbar, Somnath
AU  - Scionti, Alberto
AU  - Zuckernam, Stephane
AU  - Portero, Antonio
TI  - NoC-based hardware software co-design framework for dataflow thread management
JO  - The journal of supercomputing
VL  - 79
SN  - 0920-8542
PB  - Springer Science + Business Media B.V
M1  - FZJ-2023-05383
SP  - 17983-18020
PY  - 2023
AB  - Applications running in a large and complex manycore system can significantly benefit from adopting the dataflow model of computation. In a dataflow execution environment, a thread can run only if all its required inputs are available. While the potential benefits are large, it is not trivial to improve resource utilization and energy efficiency by focusing on dataflow thread execution models (i.e., the ways specifying how the threads adhering to a dataflow model of computation execute on a given compute/communication architecture). This paper proposes and implements a hardware-software co-design-based dataflow threads management framework. It works at the Network-on-Chip (NoC) level and consists of three stages. The first stage focuses on a fast and effective thread distribution policy. The next stage proposes an approach that adds reconfigurability to a 2D mesh NoC via customized instructions to manage the dataflow thread distribution. Finally, a 2D mesh and ring-based hybrid NoC is proposed for better scalability and higher performance. This work can be considered a primary reference framework from which extensions can be carried out.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000986134900005
DO  - DOI:10.1007/S11227-023-05335-8
UR  - https://juser.fz-juelich.de/record/1019426
ER  -