DeepAI AI Chat
Log In Sign Up

Best-by-Simulations: A Framework for Comparing Efficiency of Reconfigurable Multicore Architectures on Workloads with Deadlines

by   Sanjiva Prasad, et al.
Indian Institute of Technology Delhi

Energy consumption is a major concern in multicore systems. Perhaps the simplest strategy for reducing energy costs is to use only as many cores as necessary while still being able to deliver a desired quality of service. Motivated by earlier work on a dynamic (heterogeneous) core allocation scheme for H.264 video decoding that reduces energy costs while delivering desired frame rates, we formulate operationally the general problem of executing a sequence of actions on a reconfigurable machine while meeting a corresponding sequence of absolute deadlines, with the objective of reducing cost. Using a transition system framework that associates costs (e.g., time, energy) with executing an action on a particular resource configuration, we use the notion of amortised cost to formulate in terms of simulation relations appropriate notions for comparing deadline-conformant executions. We believe these notions can provide the basis for an operational theory of optimal cost executions and performance guarantees for approximate solutions, in particular relating the notion of simulation from transition systems to that of competitive analysis used for, e.g., online algorithms.


page 1

page 2

page 3

page 4


Exploration of Performance and Energy Trade-offs for Heterogeneous Multicore Architectures

Energy-efficiency has become a major challenge in modern computer system...

Reconfigurable Cyber-Physical System for Lifestyle Video-Monitoring via Deep Learning

Indoor monitoring of people at their homes has become a popular applicat...

An Efficient Framework for Floor-plan Prediction of Dynamic Runtime Reconfigurable Systems

Several embedded application domains for reconfigurable systems tend to ...

Fast and Low-cost Search for Efficient Cloud Configurations for HPC Workloads

The use of cloud computational resources has become increasingly importa...

A Cost-Effective Workload Allocation Strategy for Cloud-Native Edge Services

Nowadays IoT applications consist of a collection of loosely coupled mod...

Energy-based Accounting Model for Heterogeneous Supercomputers

In this paper we present a new accounting model for heterogeneous superc...