Voltage noise characterization is an essential aspect of optimizing the shipped voltage of high-end processor based systems. Voltage noise, i.e. Variations in the supply voltage due to transient fluctuations on current, can negatively affect the robustness of the design if it is not properly characterized. Modeling and estimation of voltage noise in a pre-silicon setting is typically inadequate because it is difficult to model the chip/system packaging and power distribution network (PDN) parameters very precisely. Therefore, a systematic, direct measurement-based characterization of voltage noise in a post-silicon setting is mandatory in validating the robustness of the design. In this paper, we present a direct measurement-based voltage noise characterization of a state-of-the-art mainframe class multicoreprocessor. We develop a systematic methodology to generate noise stress marks. We study the sensitivity of noise in relation to the different parameters involved in noise generation: (a) stimulus sequence frequency, (b) supply current delta, (c) number of noise events and, (d) degree of alignment or synchronization of events in a multi-core context. By sensing per-core noise in a multi-core chip, we characterize the noise propagation across the cores. This insight opens up new opportunities for noise mitigation via workload mappings and dynamic voltage guard banding.

Timing uncertainty in microprocessors is comprised of several sources including PLL jitter, clock distribution skew and jitter, across chip device variations, and power supply noise. The on-chip measurement macro called SKITTER (SKew+jITTER) was designed to measure timing uncertainty from all combined sources by measuring the number of logic stages that complete in a cycle. This measure of completed delay stages has proven to be a very sensitive monitor of power supply noise, which has emerged as a dominant component of timing uncertainty. This paper describes the Skitter measurement experiences of several IBM microprocessors including PPC970MP, XBOX360TM, CELL Broadband EngineTM, and POWER6TMmicroprocessors running different workloads.

The 5 GHz IBM POWER6 processor (P6) and newest Z10 4.4 GHz processor utilized a custom combination of structural and functional testing delivering improved test costs and accelerated SPQL learning over previous IBM processor generations.

Timing uncertainty in microprocessors is comprised of several sources including PLL jitter, clock distribution skew and jitter, across chip device variations, and power supply noise. The on-chip measurement macro called SKITTER (SKew+jITTER) was designed to measure timing uncertainty from all combined sources by measuring the number of logic stages that complete in a cycle. This measure of completed delay stages has proven to be a very sensitive monitor of power supply noise, which has emerged as a dominant component of timing uncertainty. This paper describes the Skitter measurement experiences of several IBM microprocessors including PPC970MP, XBOX360trade, CELL Broadband Enginetrade, and POWER6trade microprocessors running different workloads.