big.LITTLE Technology

Presenting the Next Generation of Mobile Processing

ARM® big.LITTLE™ processing is a power-optimization technology where high-performance ARM CPU cores are combined with the most efficient ARM CPU cores to deliver peak-performance capacity, higher sustained performance, and increased parallel processing performance, at significantly lower average power. The latest big.LITTLE software and platforms can save 75% of CPU energy in low to moderate performance scenarios, and can increase performance by 40% in highly threaded workloads. The underlying big.LITTLE software, big.LITTLE MP, automatically and seamlessly moves workloads to the appropriate CPU core based on performance needs. ARM big.LITTLE technology enables mobile SoCs to be designed for new levels of peak performance, in the same all-day battery life users expect.


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The performance demanded by smartphones and tablets is increasing at a much faster rate than technology improvements in battery capacity and the advances in semiconductor process nodes. The need for higher performance directly conflicts with the desire for longer battery life. The solution to this lies beyond process technology and traditional power management and requires further innovation in mobile SoC design. big.LITTLE is one of many power management technologies employed by ARM to save power in mobile SoCs. It works in tandem with Dynamic Voltage and Frequency Scaling (DVFS), clock gating, power gating, retention modes, and thermal management to deliver a full set of power control for the SoC.

big.LITTLE technology takes advantage of the dynamic usage pattern for smartphones and tablets. Periods of high processing intensity tasks such as initial web page rendering and game physics calculation alternate with typically longer periods of low processing intensity tasks such as scrolling or reading a web page, waiting for user input in a game, and lighter weight tasks like texting, e-mail and audio. The graph below (Fig.1) shows the CPU residency at various DVFS frequency states in a big.LITTLE SoC, with all the relevant power management techniques in operation. It shows the usage of the big CPU cores in burst mode (i.e. for short durations at peak frequency) while the majority of runtime is managed by LITTLE cores at moderate operating frequencies.

DVFS Frequency States: Web Browsing with Audio Playback
Fig 1: The distribution of per-core DVFS Frequency States during Web Browsing with Audio Playback

Innovative power-saving techniques are required to sustain the pace of innovation in mobile through performance increases in the same power footprint. Many of the mobile use cases exhibit behavior like that shown in the graph above, presenting an ideal opportunity for big.LITTLE technology to save power while also delivering peak-performance in modern mobile devices.

big.LITTLE Processing – How does it work?

The high performance and high efficiency CPU clusters are connected through a cache coherent interconnect fabric such as the ARM CoreLink™ CCI-400.This hardware coherency enables the same view of the memory to both the big and LITTLE CPU clusters. The processors look like one multicore CPU to the operating system (OS). User space software on a big.LITTLE SoC is identical to the software that would run on a standard Symmetrical Multi-Processing (SMP) CPU.

How does the work get scheduled to the right processor?

Global Task Scheduling (GTS) gives the OS awareness of the big and LITTLE processors, and the ability to schedule individual threads of execution on the appropriate CPU core based on dynamic run-time behavior. ARM has developed a kernel space patch set based on GTS called big.LITTLE MP that keeps track of load history as each thread runs, and uses the history to anticipate the performance needs of the thread next time it runs. This software is in operation on the use case graph above (Fig. 1) and in the measured results below (Fig. 2), where big.LITTLE technology is delivering energy savings as high as 75% for the same or higher delivered performance.

Measured CPU and SoC power savings on a Cortex-A15 MP4∙Cortex-A7 MP4 big.LITTLE MP SoC relative to a Cortex-A15 MP4 SoC
Fig. 2: Measured CPU and SoC power savings on a Cortex-A15 MP4∙Cortex-A7 MP4 big.LITTLE MP SoC relative to a Cortex-A15 MP4 SoC


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