RAMAN: Reinforcement Learning Inspired Algorithm for Mapping Applications onto Mesh Network-on-Chip
Author:
Funder
Science and Engineering Research Board (SERB), Government of India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9667779/9667550/09667806.pdf?arnumber=9667806
Reference26 articles.
1. Communication and Migration Energy Aware Design Space Exploration for Multicore Systems with Intermittent Faults
2. Exploiting Geometric Partitioning in Task Mapping for Parallel Computers
3. Ant Colony Heuristic for Mapping and Scheduling Tasks and Communications on Heterogeneous Embedded Systems
4. A Reinforcement Learning-Based Framework for Solving the IP Mapping Problem
5. Core Placement Optimization for Multi-chip Many-core Neural Network Systems with Reinforcement Learning
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1. IWO-IGA—A Hybrid Whale Optimization Algorithm Featuring Improved Genetic Characteristics for Mapping Real-Time Applications onto 2D Network on Chip;Algorithms;2024-03-10
2. A Deep Learning Network-on-Chip (NoC)-Based Switch-Router to Enhance Information Security in Resource-Constrained Devices;Journal of Circuits, Systems and Computers;2023-08-31
3. Application Mapping Onto Manycore Processor Architectures Using Active Search Framework;IEEE Transactions on Very Large Scale Integration (VLSI) Systems;2023-06
4. HeterGenMap: An Evolutionary Mapping Framework for Heterogeneous NoC-Based Neuromorphic Systems;IEEE Access;2023
5. Turn-aware Application Mapping using Reinforcement Learning in Power Gating-enabled Network on Chip;2022 IEEE 15th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC);2022-12
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