LPDDR4

Enables high-speed memory emulation for FPGA-based system testing.

Overview

XtremeSilica’s LPDDR4 FPGA Emulation Generator is designed for high-speed, low-power memory management in mobile and embedded applications. It ensures efficient memory system validation for battery-constrained environments with a focus on energy conservation.

This technology supports various use cases, from smartphones to IoT devices, with advanced features like real-time video processing and AI inference. It helps simulate systems that require tight power and performance constraints, ensuring reliable results.

AMBA ACE Architecture

Key Features

High-Speed Data Transfer: Supports data rates up to 4266 MT/s, enabling fast memory access. Essential for applications like real-time video processing and AI inference that require rapid data throughput.

Low Power Consumption: Designed to minimize energy usage during high-performance operations, making it ideal for battery-powered systems. Ensures efficient energy management without compromising performance.

Wide Operating Temperature Range: Reliable performance across extreme temperatures, suitable for harsh environments. Ensures stability in automotive, industrial, and outdoor applications where temperature variations are common.

Dual-Channel Architecture: Provides two independent memory channels for increased parallelism and throughput. Optimizes performance for multitasking and high-data-volume simulations in FPGA-based environments.

Low Voltage Operation (1.1V): Operates at lower voltages to reduce overall power consumption. This feature enhances energy efficiency while maintaining high memory performance.

Support for Deep Power-Down Mode: Enables the system to enter a low-power state during idle periods. Helps conserve energy and extend the battery life of mobile and embedded devices.

Error Detection and Correction (ECC): Detects and corrects memory errors to ensure data integrity. This is crucial for mission-critical applications like aerospace, automotive, and medical systems.

Flexible Data Burst Lengths: Allows for variable burst lengths to optimize data transfers based on the workload. Improves memory efficiency and versatility across different simulation tasks.

Dynamic Frequency Scaling (DFS): Adjusts the memory frequency based on workload requirements. Helps balance power consumption and performance, ensuring efficient operation during varied simulation tasks.

Seamless Integration with Embedded Systems: Integrates easily with embedded FPGA designs for simple setup and testing. Reduces complexity in validation processes for mobile and IoT devices.

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