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www.us-tech.com
December, 2019
Austin, TX — NXP has introduced its
i.MX RT1170 family of crossover MCUs that combines unprecedented performance, reliability and high lev- els of integration to propel industrial Internet of Things (IoT) and automo- tive applications. The NXP
i.MX RT1170 family
reinforces the company’s commitment to advance edge computing with its EdgeVerse portfolio of solutions and marks a technology breakthrough with MCUs that run up to 1 GHz, while maintaining low-power efficiency. To achieve an optimized balance
of power, performance and cost, the solution uses an advanced 28 nm FD- SOI technology, making NXP, report-
NXP Launches GHz Microcontrollers
edly, the first company to build MCUs in this advanced technology node. The
i.MX RT1170 MCU fea-
tures include: a dual-core architec- ture with the Arm® Cortex®-M7 core running up to 1 GHz and Cortex-M4 running up to 400 MHz, 2D vector graphics core, NXP’s pixel processing pipeline (PxP) 2D graphics accelera- tor, and EdgeLock 400A, the compa- ny’s advanced embedded security technology. It is designed to deliver a record-setting 12 ns interrupt response time, 6468 CoreMark score and 2974 DMIPS, while executing from on-chip memory. The new crossover MCU integrates up to 2 MB of on-chip SRAM, including 512 kB that can be configured as TCM with error code correction (ECC) for Cortex-M7 use, and 256 kB of TCM with ECC for Cortex-M4 use. The
i.MX RT1170 dual-core sys-
tem pairs a high-performance core and a power-efficient core with independ- ent power domains of operation, enabling developers to run applica- tions in parallel or reduce power con- sumption by turning off individual cores as necessary. The energy-effi- cient Cortex-M4 core can be dedicated to time-critical control applications, such as sensor hub and motor control, while the main core runs more complex applications. Additionally, its dual- core system can run ML applications in parallel, such as face recognition with natural language processing to create human-like user interactivity. For edge compute applications,
the GHz Cortex-M7 core significantly enhances performance for machine learning, edge inference for voice, vision and gesture recognition, natu- ral language understanding, data analytics, and digital signal process- ing (DSP) functions. The combina- tion of GHz performance and high density of on-chip memory speeds up face recognition inference time by up to five times compared with today’s fastest MCUs in the market, in addi- tion to having processing bandwidth to improve accuracy and immunity against spoofing. The GHz core is also exception-
ally efficient in executing computa- tionally demanding voice recogni- tion, including audio preprocessing (echo cancellation, noise suppression, beam forming, and barge-in) for
improved cognition. Contact: NXP USA, Inc., 6501
William Cannon Drive West, Austin, TX 78735 % 408-802-0602 E-mail:
tate.tran@
nxp.com Web:
www.nxp.com
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