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  1. Thermal-Aware System Design Principles on Multi-core Processors using an Analytical Method

    Article • ACM Transactions on Design Automation of Electronic Systems, March 2020, ACM (Association for Computing Machinery)

    Ajinkya Bankar, Dr. SHI SHA

  2. Thermal-constrained energy efficient real-time scheduling on multi-core platforms

    Article • Parallel Computing, July 2019, Elsevier

    Dr. SHI SHA

  3. M-Oscillating: Performance Maximization on Temperature-Constrained Multi-Core Processors

    Article • IEEE Transactions on Parallel and Distributed Systems, November 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. SHI SHA

  4. A Thermal-Balanced Variable-Sized-Bin-Packing Approach for Energy Efficient Multi-Core Real-Time Scheduling

    Article • May 2017, ACM (Association for Computing Machinery)

    Dr. SHI SHA

  5. Processor/memory Co-Scheduling using periodic resource server for real-time systems under peak temperature constraints

    Article • March 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. SHI SHA

  6. Performance Maximization via Frequency Oscillation on Temperature Constrained Multi-core Processors

    Article • August 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. SHI SHA

  7. On harmonic fixed-priority scheduling of periodic real-time tasks with constrained deadlines

    Article • June 2016, ACM (Association for Computing Machinery)

    Dr. SHI SHA

  8. An analytical solution for multi-core energy calculation with consideration of leakage and temperature dependency

    Article • September 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. SHI SHA

  9. Thermal-aware energy minimization for real-time scheduling on multi-core systems

    Article • ACM SIGBED Review, July 2013, ACM (Association for Computing Machinery)

    Dr. SHI SHA

  10. Power and energy analysis on intel Single-Chip Cloud Computer system

    Article • March 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. SHI SHA