Lightweight imitation learning for real-time cooperative service migration

Z Ning, H Chen, ECH Ngai, X Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Due to the revolution of communication technology, the rapidly increasing number of mobile
devices in edge networks generates various real-time service requests, requiring a …

Energy-efficient networks-on-chip architectures: Design and run-time optimization

SK Mandal, A Krishnakumar, UY Ogras - Network-on-Chip Security and …, 2021 - Springer
Abstract Networks-on-Chip (NoC) architectures have become the mainstream
communication backbone of high-end processors and systems-on-chip (SoCs) after their …

CEDR: A compiler-integrated, extensible DSSoC runtime

J Mack, S Hassan, N Kumbhare… - ACM Transactions on …, 2023 - dl.acm.org
In this work, we present a C ompiler-integrated, E xtensible D omain Specific System on
Chip R untime (CEDR) ecosystem to facilitate research toward addressing the challenges of …

Domain-specific architectures: Research problems and promising approaches

A Krishnakumar, U Ogras, R Marculescu… - ACM Transactions on …, 2023 - dl.acm.org
Process technology-driven performance and energy efficiency improvements have slowed
down as we approach physical design limits. General-purpose manycore architectures …

DTRL: decision tree-based multi-objective reinforcement learning for runtime task scheduling in domain-specific system-on-chips

T Basaklar, AA Goksoy, A Krishnakumar… - ACM Transactions on …, 2023 - dl.acm.org
Domain-specific systems-on-chip (DSSoCs) combine general-purpose processors and
specialized hardware accelerators to improve performance and energy efficiency for a …

Theoretical validation and hardware implementation of dynamic adaptive scheduling for heterogeneous systems on chip

AA Goksoy, S Hassan, A Krishnakumar… - Journal of Low Power …, 2023 - mdpi.com
Domain-specific systems on chip (DSSoCs) aim to narrow the gap between general-
purpose processors and application-specific designs. CPU clusters enable programmability …

Domain-Specific STT-MRAM-based In-Memory Computing: A Survey

A Yusuf, T Adegbija, D Gajaria - IEEE Access, 2024 - ieeexplore.ieee.org
In recent years, the rapid growth of big data and the increasing demand for high-
performance computing have fueled the development of novel computing architectures …

DAS: Dynamic adaptive scheduling for energy-efficient heterogeneous SoCs

AA Goksoy, A Krishnakumar… - IEEE Embedded …, 2021 - ieeexplore.ieee.org
Domain-specific systems-on-chip (DSSoCs) aim at bridging the gap between application-
specific integrated circuits (ASICs) and general-purpose processors. Traditional operating …

CAMDNN: Content-aware mapping of a network of deep neural networks on edge MPSoCs

S Heidari, M Ghasemi, YG Kim, CJ Wu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Machine Learning (ML) workloads are increasingly deployed at the edge. Enabling efficient
inference execution while considering model and system heterogeneity remains …

Simultaneous and Heterogenous Multithreading

KC Hsu, HW Tseng - Proceedings of the 56th Annual IEEE/ACM …, 2023 - dl.acm.org
The landscape of modern computers is undoubtedly heterogeneous, as all computing
platforms integrate multiple types of processing units and hardware accelerators. However …