An ensemble data-learning approach based on proper orthogonal decomposition (POD)
and Galerkin projection (EnPOD-GP) is proposed for thermal simulations of multi-core CPUs …

Future many-core systems need to handle high power density and chip temperature
effectively. Some cores in many-core systems need to be turned off or 'dark'to manage chip …

Reliability is an increasingly pressing issue for High-Performance Computing systems, as
failures are a threat to large-scale applications, for which an even single run may incur …

The continuous scaling of silicon technology has enabled many-core systems to become
ubiquitous, offering enormous computational power for various applications spanning from …

The dark-silicon challenge poses a design problem for future many-core systems. As a result
of this, several techniques have been introduced to improve the number of processing …

This study aims to minimize the peak temperature for pipelined multi-core systems while
providing hard real-time guarantees. Periodic Thermal Management (PTM) is adopted to …

Future many-core systems need to address the dark silicon problem, where some cores
would be turned off to control the chip's thermal and power density, which effectively limits …

Increase in chip inactivity in the future threatens the performance of many-core systems and
therefore, efficient techniques are required for continuous scaling of transistors. As of a result …

The rising demand for high-performance computing (HPC) has made full-chip dynamic
thermal simulation in many-core GPUs critical for optimizing performance and extending …

The percentage of inactive nodes or dark nodes (we refer to dark nodes as dumso) in many-
core systems increases because of power dissipation caused by continuous scaling in …