Journal of Sensor Networks and Data Communications(JSNDC)

PassmoreLab, Austin, Texas, USA

Publications

• Research Article   
  Real-Time Fusion Throughput on Spatial FPGA Fabric
  Author(s): Greg Passmore*
  
  This paper provides a technical assessment of CPUs, GPUs, and FPGAs for real-time sensor fusion workloads involving radar, EO/IR imagery, LiDAR, inertial sensors, and RF data. The analysis covers throughput, latency, determinism, power efficiency, interconnect behavior, and support for large numbers of asynchronous sensor inputs. Empirical studies and published measurements show that CPUs offer flexibility but limited throughput and poor scaling under high-rate multi-sensor ingest. GPUs deliver the highest theoretical parallel throughput but depend on large batch sizes, incur millisecond-scale latency, and rely on PCIe transfers that constrain fusion performance. FPGAs provide deterministic, microsecond-scale processing, spatial parallelism for concurrent sensor pipelines, nanosecond-level timestamping, and significantly higher energy efficiency for structured DSP and streaming worklo.. Read More»
  

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