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The case for lifetime reliability-aware microprocessors
Ensuring long processor lifetimes by limiting failuresdue to wear-out related hard errors is a
critical requirementfor all microprocessor manufacturers. We observethat continuous device …
critical requirementfor all microprocessor manufacturers. We observethat continuous device …
Relief: A reinforcement-learning-based real-time task assignment strategy in emerging fault-tolerant fog computing
Due to the real-time requirements in several IoT applications, fog computing has emerged to
overcome the long latency and other constraints of cloud computing. Due to the high …
overcome the long latency and other constraints of cloud computing. Due to the high …
An experimental study of reduced-voltage operation in modern FPGAs for neural network acceleration
We empirically evaluate an undervolting technique, ie, underscaling the circuit supply
voltage below the nominal level, to improve the power-efficiency of Convolutional Neural …
voltage below the nominal level, to improve the power-efficiency of Convolutional Neural …
Comprehensive evaluation of supply voltage underscaling in fpga on-chip memories
In this work, we evaluate aggressive undervolting, ie, voltage scaling below the nominal
level to reduce the energy consumption of Field Programmable Gate Arrays (FPGAs) …
level to reduce the energy consumption of Field Programmable Gate Arrays (FPGAs) …
Ring-DVFS: Reliability-aware reinforcement learning-based DVFS for real-time embedded systems
Dynamic voltage and frequency scaling (DVFS) is one of the most popular and exploited
techniques to reduce power consumption in multicore embedded systems. However, this …
techniques to reduce power consumption in multicore embedded systems. However, this …
Application and thermal-reliability-aware reinforcement learning based multi-core power management
Power management through dynamic voltage and frequency scaling (DVFS) is one of the
most widely adopted techniques. However, it impacts application reliability (due to soft …
most widely adopted techniques. However, it impacts application reliability (due to soft …
Understanding power consumption and reliability of high-bandwidth memory with voltage underscaling
Modern computing devices employ High-Bandwidth Memory (HBM) to meet their memory
bandwidth requirements. An HBM-enabled device consists of multiple DRAM layers stacked …
bandwidth requirements. An HBM-enabled device consists of multiple DRAM layers stacked …
Hamartia: A fast and accurate error injection framework
Single bit-flip has been the most popular error model for resilience studies with fault
injection. We use RTL gate-level fault injection to show that this model fails to cover many …
injection. We use RTL gate-level fault injection to show that this model fails to cover many …
Evaluating and accelerating high-fidelity error injection for hpc
We address two important concerns for the analysis of the behavior of applications in the
presence of hardware errors:(1) when is it important to model how hardware faults lead to …
presence of hardware errors:(1) when is it important to model how hardware faults lead to …
Asymmetric resilience: Exploiting task-level idempotency for transient error recovery in accelerator-based systems
Accelerators make the task of building systems that are re-silient against transient errors like
voltage noise and soft errors hard. Architects integrate accelerators into the system as black …
voltage noise and soft errors hard. Architects integrate accelerators into the system as black …