Optimizing flash memory selection for automotive & other uses
Susie Gao, Cypress
EDN (August 15, 2017)
Over the past few years, there has been an increasing demand for NOR Flash memory for use in automotive applications. Initial uses included applications such as infotainment and engine control. However, as advancements in automotive computerization continue to progress, NOR Flash memory is seeing use in a wider range of various automotive applications. In particular, there has been rapid growth in demand for NOR Flash memory for use in Advanced driver-assistance systems (ADAS), digital instruments clusters, and infotainment systems.
ADAS has seen rapid market growth. Currently, many ADAS applications utilize cameras – typically back up cameras – to assist drivers in identifying nearby hazards (Figure 1). Sensing cameras are even more sophisticated, providing drivers with automated collision avoidance, lane changing, parking, and more. The sensing camera market is expected to continue to expand as cars become increasingly autonomous. Given that sensing cameras need even more complex processing than viewing cameras, highly-efficient SoCs will be required to support this advanced technology (Figure 2). Demand for NOR Flash memory that is both high density and high performance will continue to grow in conjunction with this increase in program size.
To read the full article, click here
Related Semiconductor IP
- CAN XL Verification IP
- Rad-Hard GPIO, ODIO & LVDS in SkyWater 90nm
- 1.22V/1uA Reference voltage and current source
- 1.2V SLVS Transceiver in UMC 110nm
- Neuromorphic Processor IP
Related White Papers
- LPDDR flash: A memory optimized for automotive systems
- Understanding the contenders for the Flash memory crown
- The best of both worlds: Optimizing OCP slave memory behavior
- NAND Flash memory in embedded systems
Latest White Papers
- OmniSim: Simulating Hardware with C Speed and RTL Accuracy for High-Level Synthesis Designs
- Balancing Power and Performance With Task Dependencies in Multi-Core Systems
- LLM Inference with Codebook-based Q4X Quantization using the Llama.cpp Framework on RISC-V Vector CPUs
- PCIe 5.0: The universal high-speed interconnect for High Bandwidth and Low Latency Applications Design Challenges & Solutions
- Basilisk: A 34 mm2 End-to-End Open-Source 64-bit Linux-Capable RISC-V SoC in 130nm BiCMOS