New tendencies envisage 2D and 3D Multi-Processor Systems-On-Chip (MPSoCs) as a promising solution for the consumer electronics market. MPSoCs are complex to design, as they must execute multiple applications (games, video), while meeting additional design constraints (energy consumption, time-to-market, etc.). Moreover, the rise of temperature in the die for MPSoCs, especially for forthcoming 3D chips, can seriously affect their final performance and reliability. In this context, transient thermal modeling is a key challenge to study the accelerated thermal problems of MPSoC designs, as well as to validate the benefits of active cooling techniques (e.g., liquid cooling), combined with other state-of-the-art methods (e.g., dynamic frequency and voltage scaling), as a solution to overcome run-time thermal runaway. In this paper, we present a novel approach for fast transient thermal modeling and analysis of 2D/3D MPSoCs with active cooling, which relies on the exploitation of combined hardwaresoftware emulation. The proposed framework uses FPGA emulation as the key element to model the hardware components of 2D/3D MPSoC platforms at multi-megahertz speeds, while running real-life software multimedia applications. This framework automatically extracts detailed system statistics that are used as input to a scalable software thermal library, using different ordinary differential equation solvers, running in a host computer. This library calculates at run-time the temperature of on-chip components, based on the collected statistics from the emulated system and the final floorplan of the 2D/3D MPSoC. This approach creates a closeloop thermal emulation system that allows MPSoC designers to validate different hardware- and software-based thermal management approaches, including liquid cooling injection control, under transient and dynamic thermal maps. The experimental results with 2D/3D MPSoCs, based on the UltraSPARC T1 and other industrial platforms from Freescale, illustrate speed-ups of more than three orders of magnitude compared to cycle-accurate MPSoC thermal simulators.
David Atienza Alonso, Marina Zapater Sancho, Giovanni Ansaloni, Alexandre Sébastien Julien Levisse, Halima Najibi
David Atienza Alonso, Marina Zapater Sancho, Alexandre Sébastien Julien Levisse, Mohamed Mostafa Sabry Aly, Halima Najibi