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BlitzCoin: Fully Decentralized hardware power management for accelerator-rich SoCs
On-chip power-management techniques have evolved over several processor generations.
However, response time and scalability constraints have made it difficult to translate existing …
However, response time and scalability constraints have made it difficult to translate existing …
Predict; don't react for enabling efficient fine-grain dvfs in gpus
S Bharadwaj, S Das, K Mazumdar… - Proceedings of the 28th …, 2023 - dl.acm.org
With the continuous improvement of on-chip integrated voltage regulators (IVRs) and fast,
adaptive frequency control, dynamic voltage-frequency scaling (DVFS) transition times have …
adaptive frequency control, dynamic voltage-frequency scaling (DVFS) transition times have …
[PDF][PDF] A Neuro-Symbolic Approach to Runtime Optimization in Resource Constrained Heterogeneous Systems
Our approach to runtime optimization of heterogeneous systems using Reinforcement
Learning (RL) and neuro-symbolic Logical Neural Networks (LNN) is described. We provide …
Learning (RL) and neuro-symbolic Logical Neural Networks (LNN) is described. We provide …
Framework para investigação de mapeamentos de aplicações em arquiteturas manycore
DP Lima - 2022 - bdtd.ibict.br
This thesis proposes an implementation of a framework for map** graphs onto manycore
architectures with multi-objective metrics optimization. The aim is to propose a new …
architectures with multi-objective metrics optimization. The aim is to propose a new …