Xilinx’s ZU11EG/ZU19EG Zynq Ultrascale+ MPSoC FPGA is the foundation for the Zynq Ultrascale+ module, a system-on-module. It’s cutting-edge ARM+ FPGA design guarantees analytics-, control-, and differentiation-oriented performance. As a cutting-edge SoC FPGA, it comes with a wide variety of design resources for both hardware and software.
Key Perks of Using Zynq Ultrascale+ module
Some advantages of the Zynq Ultrascale+ module are as follows:
Controlled Power Consumption
At the Microsecond Level Across Many DomainsSince PCIe boards have a modular design, eliminating the consistent power of unutilized blocks is a simple way to decrease the consumption of power. Deep Sleep mode on Zynq UltraScale + module-based FPGA servers can achieve power usage of as little as 180nW. When the SoC FPGA is not being actively used, switching to this mode will result in the greatest possible power savings.
Memory Bottlenecks are Tackled by a Hierarchical, Dynamic Memory System
UltraRAM, Block RAM, LUTRAM, and L3 Cache are just some forms of shared on-chip memory available from FPGA servers. All of these factors contribute to lower the latency of memory access, which ultimately boosts the efficiency of any co-processors or accelerators that may be present. Since safety-critical FPGA apps necessitate complete isolation of function, localized memory fulfills this requirement.
Deep Learning for Artificial Intelligence and Machine Learning Processor Unit
The free expandable computation engine and the Zynq UltraScale+ module can access and use big collections of pre-trained AI models, can run on a variety of popular frameworks, and has been fine-tuned for convolutional neural networks.
Combination Video Codec (H.264/H.265)
The PCIe boards used in EVs must use Zynq UltraScale+ modules, and these boards include a video codec that can decrypt and encrypt video at up to 4K at 60 fps with low latency.
Extremely Small Form Factors with High Processing Power
Using the Zynq Ultrascale+ module, InFO devices can be made 60% smaller while maintaining the same signal integrity and benefiting from improved heat dissipation. This is accomplished without any performance degradation.
Heterogeneous Computing to Speed Up Entire Applications
When using an FPGA, you get optimized features because of the many different processing engines included. Furthermore, hardware that is both programmable and capable of being modified in response to specific conditions can help improve security and performance.
Analog Radio Frequency Integration
The Zynq Ultrascale+ module is an example of an adaptive SoC FPGA that features massive integration of direct FR-sampling data converters, which helps eliminate the need for external data converters. As a result, a versatile solution is developed that requires 50% less energy than its multi-component counterpart. It also aids in getting rid of the power-hungry SoC FPGA to Analog interfaces like JESD204. This method of design ensures the pcie board has a highly adaptable solution by shifting most of the RF signal processing to the digital realm.
Zynq UltraScale+ MPSoC Multiprocessor has 64-bit processor expandability that uses hard and soft engines for packet, waveform, video, and graphics processing with real-time control. Systems-on-chip with multiple processors are developed using a configurable logic platform with a shared real-time controller.
There are three distinct processor options for the Zynq UltraScale+ Module MPSoC: video codec, quad core, and dual core. Industrial motor control and sensor fusion are two applications that benefit greatly from the dual core version. The video codec excels at surveillance, Automotive ADAS, and multimedia uses. Wireless and wired networks, aerospace, and defense are ideal environments for the quad core’s capabilities.