Heat load efficiency in multi-temperature cryogenic computing systems

Abstract

Heterogeneous cryogenic computing systems often incorporate a variety of technologies, each functioning at different temperatures. The chosen operating temperature of these components significantly influences the overall power dissipation, heat load, and system performance. Existing design methodologies for managing cryogenic systems with multiple temperature zones often overlook thermal variations within these zones, the interconnect between different zones, and are restricted to the temperature within a single zone. A comprehensive framework designed to enhance the efficiency of heterogeneous computing systems operating under cryogenic conditions is presented in this paper. Utilizing a graph theoretic approach, the framework is used to evaluate the influence of operating temperatures on both delay and power consumption. Thermal interactions among different system components are also considered, enabling a more precise estimate of the power requirements and local thermal load. The methodology is applied to two case studies related to cryogenic cloud computing systems. The objective is to minimize overall system-wide power consumption while satisfying specific performance criteria and considering the impact of heat load on the cooling infrastructure.