Arm Holdings Ltd. is upping its bid to become a major player in the world of connected and autonomous vehicles with the launch of a new microprocessor chip designed to handle multiple streams of data.
The new Arm Cortex-A65AE chip, which will become available in 2020, adds to the company’s Automotive Enhanced portfolio of chips. The idea with the new chip is to help more efficiently process the numerous and separate streams of data that automated vehicles are expected to produce, in order to help them navigate roads more safely.
To do this the Cortex-A65AE relies on Arm’s “Split-Lock” technology, which adds a “multithreading capability” that allows workloads to be split between the processing cores on the chip. So, when maximum speed is required, the processing “cores” on the chip can be split up so data is processed by multiple cores at once. Alternatively, should safety be of paramount concern, the chip can “lock” cores together to perform the same operations simultaneously and double check the chip’s work, minimizing the chance of computing errors.
Arm’s Split-Lock technology first appeared in its Cortex-A76AE chips launched in September. But while that chip was focused on providing high-performance for in-car applications, ARM says the Cortex A65AE is geared toward “high-throughput applications.” Or in more simple terms, the older A76AE is targeted at demanding single-thread workloads, while the A65AE is more suitable for numerous multithreaded workloads.
Read More: Nvidia Intros Turing-powered Titan RTX
Arm says the Cortex-A65AE will help connected cars to more efficiently manage the large numbers of sensors necessary to help them drive autonomously. Numerous sensors will be needed to help these vehicles monitor their surroundings, including cameras, LiDAR and radar, which means a big increase in the throughput and compute requirements needed to process that data safely. With these sensors, connected cars will be able to see their environment, understand what is happening around them, and make decisions about what to do next.
As such, safety is a critical aspect, Arm said. The new chips can also be used in a “lock-step” mode to connect to accelerators such as machine learning or computer vision systems to help process data more efficiently, with a high level of safety built in.
“Most of today’s auto silicon from NXP and TI is low volume, low performance and proprietary,” said Patrick Moorhead, president and principal analyst at Moor Insights & Strategy. “What I like about the A65AE and A72AE is that they’re based on very high volume commodity technology with important, auto-specific features like Split-Lock, which offers failover and performance boost capabilities built into the hardware, not in software. Having SplitLock in hardware versus software should make it easier for Tier 1s and offer higher performance.”
Arm said the Cortex-A65AE will also be able to help monitor human drivers in nonautonomous vehicles. The chip can be used to process data from in-car sensors used to monitor eyelid movement in drivers in order to detect tiredness. There may also be sensors used to monitor driver’s body temperatures, vital signs and behavioral patterns, helping to personalize their in-car experience, Arm said. These capabilities will also demand high-throughput and machine learning processing.
The Cortex-A65AE should give Arm a good shot at cornering the market for self-driving cars, which are the newest computing platform, Holger Mueller, principal analyst and vice president of Constellation Research Inc., told in a report.
Read More: Neurala Launches AI-Assisted Video Annotation Tool in Brain Builder
“The increased performance can only help to improve the safety and reliability of self-driving cars,” Mueller said. “But it’s too early to declare Arm as the winner, as OEM uptake will determine that. The good news here is users don’t have to worry about proprietary and lock in effects, as each car will have their one proprietary setup that remains a unique engineering construct.”
In addition to the multiple processing and safety features, the Cortex-A65AE can also connect to graphics processing units built by companies such as Nvidia Corp., which provide even greater processing power.
Arm didn’t provide any performance specs for the Cortex-A65AE, other than to say it has 3.5 times the throughput of its previous generation Cortex-A53 chip.
- Steps for Building a Data Analytics Strategy for AI
- Improving Customer Experience With AI & Machine learning
- BookMyBai.com raises pre-series A Round from Japan-based fund
- 5 “Smart” Internet Of Things That Make Our Life Easier
- Benefits and Significance of Hadoop in Big Data
- Google Fi simple phone service expands to Apple iPhone
- Child Book: Colouring Book to Prevent Labor Pain