SRAM-based FPGAs today need high-density configuration memories that are radiation-hardened for space applications. The MNEMOSYNE project aimed to design a radiation-hardened ASIC memory for boot and configuration.
I. RAD-HARD DESIGN:
IMEC designed the analog blocks (LDO, PMU, OSC, IVref, voltage monitors, etc …) using the RH DARE22 platform.
The digital design was done by 3D PLUS, while...
To be updated
The AMD Versal radiation-tolerant FPGA family represents a cutting-edge platform for high-performance applications. Versal offers unparalleled capabilities on space-qualified devices, featuring integrated GTY transceivers that support lane speeds of up to 25 Gbit/s. These attributes make them ideal for implementing advanced spacecraft communication protocols such as SpaceFibre (SpFi)....
The increasing complexity of deep learning models has created a demand for high-performance computing platforms that can efficiently execute inference tasks. FPGA's flexibility made them an appealing choice for accelerating such tasks. Recently, we also witnessed a growing interest in RISC-V-based solutions combined with dedicated AI accelerators to enhance computational capabilities. While...
Hardware acceleration for an edge-AI application utilizing a convolutional neural network (CNN) typically involves distributing intensive computational tasks, such as matrix convolutions or multiplications, across multiple cores running in parallel. This can be achieved using a static GPU-like (Graphical Processing Unit) architecture or a configurable array of cores like the one available in...
