WEBINAR DETAILS
  • When
  • About
    Recent advances in FPGAs, multi-core processors, and memory technologies have enabled high-performance platforms for accelerating complex applications. This talk reviews three decades of progress in reconfigurable computing and highlights current FPGA-based accelerators for data science. We present algorithm-architecture co-design techniques for developing efficient IP cores and end-to-end acceleration, with examples in graph analytics, machine learning, and privacy-preserving computations. Finally, we discuss opportunities and challenges in emerging heterogeneous systems combining CPUs, FPGAs, GPUs, and coherent memory.

    Enhanced Security with Quantum-Secure Authenticated Boot, Xiphera

    • AgilexTM 5-based demo featuring Xiphera’s nQrux® Secure Boot IP core, the Quantum-Secure Authenticated Boot secures systems against both contemporary and emerging cryptographic threats.

    Ultra-Low-Latency Edge AI, Flapmax

    • Agilex™ 5 FPGA-powered, reconfigurable AI inference platform for real-time Intelligence, Surveillance and Reconnaissance at the tactical edge with Flapmax SKY-0.

    Wireband Direct-RF Agilex™ 9 Performance for 3U-VPX System, Mistral

    • AgilexTM 9 Quad-channel Direct RF ADC/DAC performance over an ultra-wide bandwidth of 0.1–18 GHz, with high-speed data throughput via 40G Ethernet and PCIe Gen4 interfaces.

    This session is part of our “Innovators Day Webinar Series”. Registration/event page here.

    Sponsored by:
  • Duration
    1 hour
  • Price
    Free
  • Language
    English
  • OPEN TO
    Everyone
  • Dial-in available
    (listen only)
    Not available.
FEATURED PRESENTERS