Xilinx kria - PowerPoint PPT Presentation


Understanding FELIX Phase II Run 4 and Versal Prime ACAP Device

Explore the advancements in FELIX Phase II Run 4, leveraging Xilinx Versal Prime ACAP Device, showcased at the 3rd CERN System-on-Chip Workshop. Witness massive improvements in trigger rates, data readout rates, and interactions per bunch crossing. Dive into the hardware details and Versal Prime's c

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FPGA Accelerator Design Principles and Performance Snapshot

This content explores the principles behind FPGA accelerator design, highlighting the extreme pipelining via systolic arrays that enables FPGAs to achieve high speeds despite lower clock frequencies compared to CPUs and GPUs. It delves into the application of Flynn's Taxonomy, performance snapshots

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Advanced Technologies for Particle Detection and Monitoring

Cutting-edge technology such as HVCMOS RD50-CMOS project along with CaRIBOu and Xilinx ZC706 evaluation board are being employed for precise measurements in E-TCT with passive and active pixel detectors. The development of Radiation Monitor Sensor Boards for ITk, involving sensors like RadFETs and d

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Overview of ALICE ITS UPGRADE System Scrubbing and FPGA Programming

ALICE ITS UPGRADE system undergoes scrubbing for error correction using various techniques like Xilinx Soft Error Mitigation Core and External Scrubbing Network. The FPGA programming overview includes standard operations, remote updating methods, and FPGA versions timeline. Relevant topics cover dat

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Concentrator and Pre-Processing Status in IDM Hardware

Throughout the IDM Hardware components detailed in the provided content, there is a focus on the concentrator and pre-processing status involving various modules essential for system functionality, such as control, memory, sensors, and power. The testing and validation processes are also highlighted

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Enhancing Machine Learning Algorithms with Heterogeneous Computing

Team 5 is working on expanding a prior initiative by developing code to simultaneously run three different machine learning algorithms - Preprocessing, Blink Detection, and Eye Tracking. Their project involves implementing these algorithms on a Xilinx Kria evaluation board using process and memory i

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