2 مستودعات
Techniques for maximizing the data transfer rate between hardware converters and the host.
Distinct from High-Throughput Data Streaming: Focuses on hardware sample-width reduction for throughput rather than high-level event streaming architectures.
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AISystem is a comprehensive AI full-stack infrastructure project covering the entire pipeline from AI chip architecture to high-level training frameworks. It encompasses the development of AI compiler frameworks, inference engines, and distributed training orchestrators designed to coordinate workloads across a heterogeneous compute stack of CPUs, GPUs, and NPUs. The project focuses on the deep integration of software and hardware, employing software-hardware co-design to align tensor layouts with physical memory structures. It provides specialized capabilities for accelerating Transformer mo
Maximizes weight and feature ingestion using a specialized multi-input single-output hardware data path.
This project is a software-defined radio platform designed to capture, analyze, and broadcast radio frequency signals across a wide spectrum. It provides a programmable hardware interface for transmitting and receiving radio signals, enabling spectrum analysis and wireless data monitoring. The system is distinguished by its ability to synchronize multiple devices using a shared external clock and hardware triggers to ensure precise timing and sample accuracy. It supports advanced signal routing, allowing ports to be mapped based on frequency or time to enable specialized operations like pseud
Reduces sample width to enable higher data rates for wideband spectrum monitoring.