Solutions for automated driving

Many unexpected events occur on real roads.
Therefore, autonomous driving cars need the ability to perform a lot of image processing and AI processing to support them.
The many-core processor MPPA® is an ideal processor for the main ECU of autonomous driving cars that can perform such high-load arithmetic processing with low power consumption.

• Real-time processing realized by low-latency inter-core communication technology
• Achieves low power consumption with high computing performance equivalent to GPU
• Software development in standard languages (C/C++/Open CL)
• Different applications (DNN/CV, etc.) can be executed simultaneously for each cluster
• Provides tools for neural network implementation (supports Caffe/TensorFlow)

many core processor

・5 operation clusters
・80-160 CPU cores
・Two I/O clusters
Quad-core CPU, DDR3, 4Ethernet 10G, x8 PCIe Gen3
・Data/control network on chip (NoC)
・1 TFLOPS SP

compute cluster

・16 64bit user cores
・16 coprocessors
・NoC Tx and Rx interface
・Debug & Support Unit (DSU)
・4MB multi-bank shared memory
・614GB/s shared memory bandwidth
・16-core SMP system

VLIW core

・32-bit/64-bit address
・VLIW architecture with simultaneous 5-instruction issuance
・MMU + I&D cache (8KB + 8KB)
・32-bit/64-bit IEEE754-2008 FMA FPU
・Cryptographic coprocessor
(AES/SHA/CRC/…)
・6GFLOPS SP per core

Since MPPA® can run different OS and applications for each cluster,
A system that used to be implemented in separate devices for each function can now be implemented on a single chip.