Ai technology for noc performance evaluation
B Bhowmik, P Hazarika, P Kale… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
An on-chip network has become a powerful platform for solving complex and large-scale
computation problems in the present decade. However, the performance of bus-based …
computation problems in the present decade. However, the performance of bus-based …
Machine learning-driven performance assessment of network-on-chip architectures
Abstract System-on-chip designs for high-performance computing systems widely use
network-on-chip (NoC) technology. The critical metrics such as latency, throughput, and total …
network-on-chip (NoC) technology. The critical metrics such as latency, throughput, and total …
Ann-based performance prediction in mocs
B Bhowmik - International Symposium on Artificial Intelligence, 2022 - Springer
Due to high integration density and technology scaling, the manycore networks-on-chip
(NoCs) often experience higher evaluation time by traditional simulations for a set of …
(NoCs) often experience higher evaluation time by traditional simulations for a set of …
Noception: a fast ppa prediction framework for network-on-chips using graph neural network
Network-on-Chips (NoCs) have been viewed as a promising alternative to traditional on-
chip communication architecture for the increasing number of IPs in modern chips. To …
chip communication architecture for the increasing number of IPs in modern chips. To …
A survey of machine learning for Network-on-Chips
X Zhang, D Dong, C Li, S Wang, L Xiao - Journal of Parallel and Distributed …, 2024 - Elsevier
Abstract The popularity of Machine Learning (ML) has extended to numerous disciplines,
including the domain of Network-on-chips (NoCs), leading to a consequential impact …
including the domain of Network-on-chips (NoCs), leading to a consequential impact …
Fast and accurate NoC latency estimation for application-specific traffics via machine learning
Y Li, P Zhou - IEEE Transactions on Circuits and Systems II …, 2023 - ieeexplore.ieee.org
Latency is one of the critical performance metrics for Networks-on-Chips (NoCs). When
designing an NoC, the designers have to explore enormous design parameters and various …
designing an NoC, the designers have to explore enormous design parameters and various …
Performance evaluation in 2d nocs using ann
P Kale, P Hazarika, S Jain, B Bhowmik - International Conference on …, 2022 - Springer
A network-on-chip (NoC) performance is traditionally evaluated using a cycle-accurate
simulator. However, when the NoC size increases, the time required for providing the …
simulator. However, when the NoC size increases, the time required for providing the …
NavCim: Comprehensive Design Space Exploration for Analog Computing-in-Memory Architectures
J Park, B Kim, H Sung - … of the 2024 International Conference on Parallel …, 2024 - dl.acm.org
Analog computing-in-memory (ACiM) technology has shown strong potential for neural
network accelerators, addressing von-Neumann performance bottlenecks with in-memory …
network accelerators, addressing von-Neumann performance bottlenecks with in-memory …
Performance Assessment of 3D Network-on-Chip Architecture using Ensemble Learning Technique
For System-on-Chip (SoC) designs, Network-on-Chip (NoC) provides a scalable and
promising interconnect solution that is particularly well-suited for high-performance …
promising interconnect solution that is particularly well-suited for high-performance …
Ai technology in networks-on-chip
BR Bhowmik - Industrial Transformation, 2022 - taylorfrancis.com
The on-chip network, commonly known as network-on-chip (NoC) on a die as an alternate
prevalent interconnection infrastructure, has been continuously occupying the space of …
prevalent interconnection infrastructure, has been continuously occupying the space of …