A systematic analysis of power saving techniques for wireless network-on-chip architectures
F Yazdanpanah, R Afsharmazayejani - Journal of Systems Architecture, 2022 - Elsevier
Wireless network-on-chip (WNoC, aka WiNoC) architectures, as an emerging and viable
alternative approach, overcome the communication constraints and drawbacks of network …
alternative approach, overcome the communication constraints and drawbacks of network …
Machine learning and manycore systems design: A serendipitous symbiosis
Tight collaboration between manycore system designers and machine-learning experts is
necessary to create a data-driven manycore design framework that integrates both learning …
necessary to create a data-driven manycore design framework that integrates both learning …
Enabling high-performance SMART NoC architectures using on-chip wireless links
K Duraisamy, PP Pande - … on Very Large Scale Integration (VLSI …, 2017 - ieeexplore.ieee.org
Traditional network-on-chip (NoC) interconnects follow conventional packet switching
architectures that require multiple cycles to traverse each router hop. In addition, commonly …
architectures that require multiple cycles to traverse each router hop. In addition, commonly …
A study of DVFS methodologies for multicore systems with islanding feature
S Hajiamini, BA Shirazi - Advances in computers, 2020 - Elsevier
High performance computing centers need to keep up with the growing applications of
varying computational characteristics. High computation rates result in consuming vast …
varying computational characteristics. High computation rates result in consuming vast …
Collaborative accelerators for in-memory mapreduce on scale-up machines
A Addisie, V Bertacco - Proceedings of the 24th Asia and South Pacific …, 2019 - dl.acm.org
Relying on efficient data analytics platforms is increasingly becoming crucial for both small
and large scale datasets. While MapReduce implementations, such as Hadoop and Spark …
and large scale datasets. While MapReduce implementations, such as Hadoop and Spark …
Collaborative accelerators for streamlining MapReduce on scale-up machines with incremental data aggregation
A Addisie, V Bertacco - IEEE Transactions on Computers, 2020 - ieeexplore.ieee.org
The MapReduce programming paradigm has been increasingly adopted to implement data-
intensive applications processing both small and large scale datasets. As most jobs in data …
intensive applications processing both small and large scale datasets. As most jobs in data …
A fast heuristic for improving the energy efficiency of asymmetric VFI-Based manycore systems
Voltage/Frequency Islands (VFIs) are practically used in multicore systems. VFIs cluster
cores share the same Voltage/Frequency (V/F) levels for the entire application runtime …
cores share the same Voltage/Frequency (V/F) levels for the entire application runtime …
Resource-aware mapreduce runtime for multi/many-core architectures
Modern multi/many-core processors exhibit high integration densities, eg up to several
dozens or hundreds of cores. To ease the application development burden for such systems …
dozens or hundreds of cores. To ease the application development burden for such systems …
A Case Study for Exploring the Impact of Optimized K-Means Algorithm on the Energy Efficiency of Multicore Systems
S Hajiamini, JD Blanchard, D Lin… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Cluster-based manycore system is a practical design for manufacturing the multicore
systems. In this design, cores are divided into multiple clusters, where cores within a cluster …
systems. In this design, cores are divided into multiple clusters, where cores within a cluster …
[PDF][PDF] A fast heuristic for tasks assignment in manycore systems with voltage-frequency islands
INTRODUCTION Page 1 11/11/2018 1 A FAST HEURISTIC FOR TASKS ASSIGNMENT IN
MANYCORE SYSTEMS WITH VOLTAGE-FREQUENCY ISLANDS Shervin Hajiamini 1 …
MANYCORE SYSTEMS WITH VOLTAGE-FREQUENCY ISLANDS Shervin Hajiamini 1 …