Agora: Agent and market-based resource management for many-core systems

No abstract is available for this paper.

• Publication year

  2016

• Venue

  International Conference on Electronics, Circuits, and Systems

• Publication date

  2016-12-01

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1109/ICECS.2016.7841217
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• A Framework for Supporting Adaptive Fault-Tolerant Solutions

  2014influential reference
• Distributed task migration for thermal hot spot reduction in many-core microprocessors

  2013cited by this paper
• Intel Xeon Phi Coprocessor High Performance Programming

  2013cited by this paper
• Distributed run-time resource management for malleable applications on many-core platforms

  2013cited by this paper
• DistRM: Distributed resource management for on-chip many-core systems

  2011cited by this paper
• A 48-Core IA-32 message-passing processor with DVFS in 45nm CMOS

  2010cited by this paper
• TAPE: Thermal-aware agent-based power econom multi/many-core architectures

  2009cited by this paper
• TAPE: thermal-aware agent-based power economy for multi/many-core architectures

  2009cited by this paper
• Managing multi-core soft-error reliability through utility-driven cross domain optimization

  2008cited by this paper
• Multicore Resource Management

  2008cited by this paper
• Circuit Failure Prediction and Its Application to Transistor Aging

  2007cited by this paper
• A simulation methodology for reliability analysis in multi-core SoCs

  2006cited by this paper
• ARMS: An agent-based resource management system for grid computing

  2002cited by this paper
• Metrics and Benchmarking for Parallel Job Scheduling

  1998cited by this paper

• Agent-based Constraint Solving for Resource Allocation in Manycore Systems

  2022cites this paper
• DMRM: Distributed Market-Based Resource Management of Edge Computing Systems

  2019cites this paper
• Software Platform for Hybrid Resource Management of Many-core Accelerators

  2018cites this paper
• Scalable Dynamic Task Scheduling on Adaptive Many-Core

  2018cites this paper