In this paper, we propose a novel transient full-chip thermal map estimation method for multi-
core commercial CPU based on the data-driven generative adversarial learning method. We …

In this article, we present a novel approach to real-time tracking of full-chip heatmaps for
commercial off-the-shelf microprocessors based on machine-learning. The proposed post …

In this article, we address the problem of accurate full-chip power and thermal map
estimation for commercial off-the-shelf multicore processors. Processors operating with heat …

This paper presents a novel approach for real-time estimation of spatial thermal maps for the
commercial AMD Ryzen 7 4800U 8-core microprocessor using a transformer-based …

In this article, we present a novel post-silicon approach to locating the dominant heat
sources on commercial multicore processors using heatmaps measured via an infrared (IR) …

Various side-channel attacks (SCAs) on ICs have been successfully demonstrated and also
mitigated to some degree. In the context of 3D ICs, however, prior art has mainly focused on …

This article presents a transfer learning (TL) followed by reinforcement learning (RL)
algorithm mapped onto a hierarchical embedded memory system to meet the stringent …

This paper describes a four-layer-stacked chip with 45-nm dynamic random access memory
(DRAM) dice and 65-nm logic controller, which are interconnected by backside-via-last …

Obtaining the steady-state temperature distribution of FPGA chip is the basis to build the
thermal monitoring mechanism for reliable system performance. Existing work employs the …

In this paper, we propose a novel approach for the real-time estimation of chip-level spatial
power maps for commercial Google Coral M. 2 TPU chips based on a machine-learning …