SensPro looks to address the need for specialised processors to efficiently handle the proliferation of different types of sensors that are required in smartphones, robotics, automotive, AR/VR headsets, voice assistants, smart home devices and for emerging industrial and medical applications that are being revolutionized with initiatives like Industry 4.0.
These sensors, among which are camera, Radar, LiDAR, Time-of-Flight (ToF), microphones and inertial measurement units (IMU), generate a multitude of data types and bit-rates derived from imaging, sound, RF and motion, which can be used to create a full 3D contextually-aware device.
Built to maximize performance-per-watt for complex multi-sensor processing use cases, the SensPro architecture offers a combination of high performance single and half precision floating-point math required for high dynamic range signal processing, point cloud creation and deep neural network (DNN) training, along with a large amount of 8- and 16-bit parallel processing capacity required for voice, imaging, DNN inference processing and Simultaneous Localization and Mapping (SLAM). SensPro incorporates CEVA’s widely used CEVA-BX scalar DSP, which offers a seamless migration path from single sensory system designs to multi-sensor, contextual-aware designs.
SensPro uses a highly-configurable 8-way VLIW architecture, allowing it to be tuned to address a wide range of applications. It employs a state-of-the-art micro-architecture that combines scalar and vector processing units and incorporates an advanced, deep pipeline enabling operating speeds of 1.6GHz at a 7nm process node.
SensPro incorporates a CEVA-BX2 scalar processor for control code execution with a 4.3 CoreMark/MHz score. It adopts a wide SIMD scalable processor architecture for parallel processing and is configurable for up to 1024 8x8 MACs, 256 16x16 MACs, dedicated 8x2 Binary Neural Networks support, as well as 64 single precision and 128 half precision floating point MACs. This allows it to deliver 3 TOPS for 8x8 networks inferencing, 20 TOPS for Binary Neural Networks inferencing, and 400 GFLOPS for floating point arithmetic.
Other key features of SensPro include a memory architecture providing a bandwidth of 400GB per second, 4-way instruction cache, 2-way vector data cache, DMA, and queue and buffer managers for offloading the DSP from data transactions.
Accompanied by software and development tools, the SensPro DSPs will be available in three configurations, each including a CEVA-BX2 scalar processor and various vector units configured for optimal use-case handling:
- SP250 – single vector unit with 256 8x8 MACs targeting imaging, vision, and sound centric applications
- SP500F – single vector unit with 512 8x8 MACs and 64 single precision floating point MACs targeting SLAM centric applications
- SP1000 – dual vector units with 1024 8x8 MACs and binary networks support targeting AI centric applications
According to Ran Snir, Vice President of Research and Development at CEVA, “With the growth in the number and variety of sensors in modern systems, and their substantially different computation needs, we set out to design a new architecture from the ground up to address this challenge. We constructed SensPro as a highly configurable, holistic architecture that could handle these intensive workloads using a combination of scalar, vector processing and AI acceleration, while utilizing the latest micro-architecture design techniques of deep pipelining, parallelism, and multi-tasking.
"The result is the most powerful DSP architecture ever conceived for sensor hubs and we’re truly excited to work with our customers and partners to bring contextually-aware products to market based on it.”
