CPU, GPU, DSP & hardware accelerators -- how do you optimize?
Junko Yoshida, EETimes
8/31/2018 08:01 PM EDT
Automotive chip companies talk about system-on-chips designed for Advanced Driving Assistance Systems all the time.
But how can the rest of us — reporters, analysts and most important, carmakers — tell one ADAS SoC from another?
Truth is, we can’t. The absence of scientific tools and benchmarks leaves little choice but to take the vendor’s word for it. Or we rely on such imperfect measures as trillion operations per second (TOPS) to compare Intel/Mobileye’s EyeQ5 with Nvidia’s Xavier, which is probably a bum steer.
About a month ago, EEMBC, an industry consortium that develops benchmarks for embedded hardware, rolled out “ADASMark,” an autonomous driving benchmark suite, which is now available for licensing.
The new tool suite, according to EEMBC, is designed to help tier ones and carmakers to optimize their use of compute resources ranging from CPU to GPU and hardware accelerators when they design their own ADAS systems.
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