14:09 Ice Lake (client cognitive learning methods) - Microarchitectures - Intel - WikiChip | |
The ice lake system on a chip is a 10-nanometer soc that is aimed at the mainstream to premium mobile and the thin-and-light market. The microprocessor consists of five major components: CPU cores, LLC, ring interconnect, system agent, and gen11 graphics.Cognitive learning methods while a lot of what ice lake provides is inherited from the prior generations, intel claims that every IP on ice lake has been enhanced in one way or another.Cognitive learning methods A major enhancement in ice lake over the prior generation is the integration of up to four sunny cove cores which provide a significant uplift in IPC.Cognitive learning methods those cores also bring AVX-512 support for the client market. Those cores, along with the system agent and the GPU, are linked over intel's ring interconnect.Cognitive learning methods the chip is fed through a new integrated memory controller that supports quad-channel 32-bit LPDDR4X memory, providing bandwidths in the range of 50-60 GB/s.Cognitive learning methods ice lake has a new integrated GPU which is based on their gen11 microarchitecture which provides a large improvement in graphics performance.Cognitive learning methods The system architecture in ice lake has been redesigned. Intel added a new gaussian neural accelerator (GNA) for the acceleration of inference applications.Cognitive learning methods there is a new 4th-generation image processing unit (IPU). There is a new thunderbolt 3 integration. Ice lake has four thunderbolt 3 ports. All four ports have the same capabilities and can be used simultaneously at full performance at up to 40 gbps per port.Cognitive learning methods intel also upgraded the display engine to gen11 with an improved display pipe that has a new adaptive sync and HDR-capable display pipes that support HDR 3 and displayport 1.4, supporting error correction and compression.Cognitive learning methods Ice lake introduced a new low-power neural processor called the gaussian neural accelerator v1.0 ( GNA) which is integrated on the soc and runs at very low power even when the GPU and cpus are turned off.Cognitive learning methods the GNA can be used for long-running tasks (e.G., real-time meeting transcription). The GNA can operate while the remaining parts of the soc are in idle in order to have minimal impact on performance.Cognitive learning methods Ice lake incorporates 4th generation image processing unit (IPU). The IPU was first introduced with skylake mobile socs (note that those were 3rd gen).Cognitive learning methods the 4th gen IPU found in ice lake introduces a number of new enhancements. It introduces new support for 4K video capture at 30fps. There is also new hardware support for better de-noising which supports up to 16 megapixels stills in low light conditions.Cognitive learning methods in addition for support more camera simultaneously, the IPU incorporates a new concurrent image pipeline, supporting multiple different processing from the same camera stream, allowing a single camera to take the functionality of multiple sensors.Cognitive learning methods A common example of that is devices with both IR and RGB cameras in the laptop bezel which can now be changed to a single camera. Intel says they are exposing more registers from the IPU to software in order to provide more flexibility for applications that make use of that for machine learning.Cognitive learning methods it’s also worth noting that intel integrated the MIPI interface onto the processor as well. Previously that was found on the chipset. The change significantly improves the latency, a required attribute needed for more advanced ML-specific applications.Cognitive learning methods some of those changes are designed to form the foundation for future generations of improvements. | |
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