42 citations · 42 across the 1 of their papers we have counts for
4 papers
Runtime Task Scheduling using Imitation Learning for Heterogeneous Many-Core Systems
Anish Krishnakumar, Samet E. Arda, A. Alper Goksoy +4
Domain-specific systems-on-chip, a class of heterogeneous many-core systems, are recognized as a key approach to narrow down the performance and energy-efficiency gap between custo…
DS3: A System-Level Domain-Specific System-on-Chip Simulation Framework
Samet E. Arda, Anish NK, A. Alper Goksoy +6
Heterogeneous systems-on-chip (SoCs) are highly favorable computing platforms due to their superior performance and energy efficiency potential compared to homogeneous architecture…
Work-in-Progress: A Simulation Framework for Domain-Specific System-on-Chips
Samet E. Arda, Anish NK, A. Alper Goksoy +6
Heterogeneous system-on-chips (SoCs) have become the standard embedded computing platforms due to their potential to deliver superior performance and energy efficiency compared to…
Memory- and Communication-Aware Model Compression for Distributed Deep Learning Inference on IoT
Kartikeya Bhardwaj, Chingyi Lin, Anderson Sartor +1
Model compression has emerged as an important area of research for deploying deep learning models on Internet-of-Things (IoT). However, for extremely memory-constrained scenarios,…