Abstract: Various embodiments are directed to frequency and voltage tuning for systems with multiple application-specific integrated circuits (ASICs) and disclosed herein may be applied to multi-AIC systems in a variety of applications, such as high-performance computing, artificial intelligence, graphics applications, and cryptocurrency or blockchain mining functions.

Abstract: Methods and apparatus relating to techniques for an energy-efficient cryptocurrency (e.g., Bitcoin) mining hardware accelerator with a spatially shared message scheduler are described. In an embodiment, a plurality of mining engines perform one or more operations for a cryptocurrency. A single scheduler processes a first portion of a message for two or more mining engines of the plurality of mining engines and pre-computation logic circuitry processes a second portion of the message for the two or more mining engines. Other embodiments are also disclosed and claimed.

Abstract: Embodiments herein relate to optimizing the operation of multiple integrated circuits (ICs) operating in parallel. In one aspect, the ICs are arranged in a voltage-stacked configuration, and an operating frequency of each IC is controlled using a tunable replica circuit to stabilize its voltage drop. The tunable replica circuit mimics a critical path on the IC. In another aspect, an IC is divided into top and bottom portions which are in respective voltage domains on a substrate. The substrate include a deep n-well region for the higher voltage domain. In another aspect, a physically unclonable function (PUF) is used to generate identifiers for each IC among a multiple ICs on a board. Entropy sources of the PUF generate bits of the identifiers. Unstable entropy sources are identified and their bits are masked out.