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GLA Summit 2025: SOTA: Modern Deep Learning is LabVIEW Dataflow by Youssef Menjour
An Efficient Accelerator for Deep Learning-based Point Cloud Registration on FPGAs (15min)
A High-Throughput FPGA Accelerator for Lightweight CNNs With Balanced Dataflow - ArXiv:2
Inside AI Infrastructure: How Data Flows from Archive to Accelerator
Dataflow Accelerators for DNNs using High-Level Synthesis | Guest Lecture at Georgia Tech
AI Accelerators: Transforming Scalability & Model Efficiency
22 DNN Accelerator Dataflow
Dataflow Hardware Acceleration of DNNs with High-Level Synthesis | Guest Lecture at Yale University
SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators
Dataflow in ASIC hardware accelerators
Procrustes: A Dataflow and Accelerator for Sparse Deep Neural Network Training
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Last Updated: September 29, 2026
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Summary
ai This video is an interview with Adi Fuchs, author of a series called "AI SOTA is the first full-fledged AI and computation framework built natively for LabVIEW. Designed as a complete and autonomous ... An FPGA-based pipeline processing for 3D point cloud registration built upon PointNetLK which is a recent Original paper: arxiv.org/abs/2407.19449 Title: A High-Throughput FPGA Ever wondered how massive AI systems move data across layers of memory and storage? In this Ready to become a certified watsonx AI Assistant Engineer? Register now and use code IBMTechYT20 for 20% off of your exam ... Linghao Song, explores modern approaches to accelerating SnapStream: Efficient Long Sequence Decoding on Presenter Shreyas Ravishankar AI Hardware Researcher AI Lab.