John Bodily
Papers
2
Total Citations
92
H-Index
2
About
John Bodily is a researcher specializing in hardware acceleration and parallel computing, with a particular focus on comparing the performance of Field-Programmable Gate Arrays (FPGAs) and Graphics Processing Units (GPUs) for computationally intensive applications. His most influential work centers on the implementation of real-time optical flow calculations — a critical component in computer vision and motion detection systems — across these competing hardware architectures. Bodily's most cited contribution, "Real-Time Optical Flow Calculations on FPGA and GPU Architectures: A Comparison Study" (2008), has garnered 72 citations and provided the research community with valuable insights into the trade-offs between FPGAs and GPUs for parallel, statically-scheduled workloads. He expanded this line of inquiry in a 2010 follow-up study that broadened the comparison to include digital communications applications, further cementing his expertise in cross-architecture performance evaluation. His work addresses a fundamental question in embedded and high-performance computing: when should engineers choose FPGAs over GPUs, and vice versa? Researchers working in real-time computer vision, hardware design, and signal processing have found his comparative analyses particularly useful for guiding practical implementation decisions.
Research Focus
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Top Papers
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