2 research outputs found
Energy and Latency Aware Application Mapping Algorithm & Optimization for Homogeneous 3D Network on Chip
Energy efficiency is one of the most critical issue in design of System on
Chip. In Network On Chip (NoC) based system, energy consumption is influenced
dramatically by mapping of Intellectual Property (IP) which affect the
performance of the system. In this paper we test the antecedently extant
proposed algorithms and introduced a new energy proficient algorithm stand for
3D NoC architecture. In addition a hybrid method has also been implemented
using bioinspired optimization (particle swarm optimization) technique. The
proposed algorithm has been implemented and evaluated on randomly generated
benchmark and real life application such as MMS, Telecom and VOPD. The
algorithm has also been tested with the E3S benchmark and has been compared
with the existing algorithm (spiral and crinkle) and has shown better reduction
in the communication energy consumption and shows improvement in the
performance of the system. Comparing our work with spiral and crinkle,
experimental result shows that the average reduction in communication energy
consumption is 19% with spiral and 17% with crinkle mapping algorithms, while
reduction in communication cost is 24% and 21% whereas reduction in latency is
of 24% and 22% with spiral and crinkle. Optimizing our work and the existing
methods using bio-inspired technique and having the comparison among them an
average energy reduction is found to be of 18% and 24%.Comment: 15 pages, 11 figure, CCSEA 201
Estimation of Optimized Energy and Latency Constraints for Task Allocation in 3d Network on Chip
In Network on Chip (NoC) rooted system, energy consumption is affected by
task scheduling and allocation schemes which affect the performance of the
system. In this paper we test the pre-existing proposed algorithms and
introduced a new energy skilled algorithm for 3D NoC architecture. An efficient
dynamic and cluster approaches are proposed along with the optimization using
bio-inspired algorithm. The proposed algorithm has been implemented and
evaluated on randomly generated benchmark and real life application such as
MMS, Telecom and VOPD. The algorithm has also been tested with the E3S
benchmark and has been compared with the existing mapping algorithm spiral and
crinkle and has shown better reduction in the communication energy consumption
and shows improvement in the performance of the system. On performing
experimental analysis of proposed algorithm results shows that average
reduction in energy consumption is 49%, reduction in communication cost is 48%
and average latency is 34%. Cluster based approach is mapped onto NoC using
Dynamic Diagonal Mapping (DDMap), Crinkle and Spiral algorithms and found DDmap
provides improved result. On analysis and comparison of mapping of cluster
using DDmap approach the average energy reduction is 14% and 9% with crinkle
and spiral.Comment: 20 Pages,17 Figure, International Journal of Computer Science &
Information Technology. arXiv admin note: substantial text overlap with
arXiv:1404.251