Lunar Lake an Intel Mobile Processor: SoC Architecture Overview (2024)

Lunar Lake (LNL) is the codename for Core Ultra Series mobile processors designed by Intel, released in September 2024. LNL took ambitious targets to cope with core and graphics performance, performance/watt, battery life, and AI compute for an outstanding user experience. To address that, a ground up architecture was defined. LNL enhanced the partition of cores to performance and efficient clusters with the ability to contain SW load to the desired HW at runtime, it optimized performance cluster with single threaded core, revised the idle state management, reduced frequent CPU wakes, enhanced the memory sub system power states and added fine grain power delivery. LNL added premium capabilities such as Memory-On-Package (MOP), Power Management IC (PMIC), powerful Neural Processing Unit (NPU), memory side cache, and Total Storage Encryption (TSE) for NVMe. LNL architecture scales from 8W to 30W+ and supports LPDDR5 frequencies up to 8533Mhz.

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Publication Details

Journal
IEEE Micro
Published
2025-04-08
DOI
https://doi.org/10.1109/mm.2025.3558407
Citations
2
Primary Topic
Embedded Systems Design Techniques
Type
article
Field-Weighted Citation Impact
4.54
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article

Lunar Lake an Intel Mobile Processor: SoC Architecture Overview (2024)

Tsvika Kurts, Arik Gihon, Yoni Aizik, Leon Polishuk et al.
2 citations
IEEE Micro
Embedded Systems Design Techniques
4.54
article

Lunar Lake an Intel Mobile Processor: SoC Architecture Overview (2024)

Tsvika Kurts, Arik Gihon, Yoni Aizik, Leon Polishuk, Nadav Bonen, Yulia Okunev, Nithiyanandan Bashyam
article en
2 citations

Abstract

Lunar Lake (LNL) is the codename for Core Ultra Series mobile processors designed by Intel, released in September 2024. LNL took ambitious targets to cope with core and graphics performance, performance/watt, battery life, and AI compute for an outstanding user experience. To address that, a ground up architecture was defined. LNL enhanced the partition of cores to performance and efficient clusters with the ability to contain SW load to the desired HW at runtime, it optimized performance cluster with single threaded core, revised the idle state management, reduced frequent CPU wakes, enhanced the memory sub system power states and added fine grain power delivery. LNL added premium capabilities such as Memory-On-Package (MOP), Power Management IC (PMIC), powerful Neural Processing Unit (NPU), memory side cache, and Total Storage Encryption (TSE) for NVMe. LNL architecture scales from 8W to 30W+ and supports LPDDR5 frequencies up to 8533Mhz.

IEEE MicroVol. 45(3)
Intel (United States) (US), Intel (Israel) (IL)
Openalex Percentile: Top 7%
Embedded Systems Design Techniques
4.54
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Lunar Lake an Intel Mobile Processor: SoC Architecture Overview (2024) — Tsvika Kurts, Arik Gihon, et al. · IEEE Micro (2025) | TGRS Research Map | TGRS