Reed Curtis
Papers
1
Total Citations
9
H-Index
1
About
Reed Curtis is a researcher in embedded parallel computing, with a focus on harnessing novel processor architectures for real-time, computationally intensive tasks. His most cited work, "Optical Flow on the Ambric Massively Parallel Processor Array (MPPA)" (2009, 9 citations), demonstrates a pioneering application of the Ambric MPPA—a device packing 336 32-bit RISC processors into a compact, low-power footprint—to the highly parallelizable optical flow algorithm. This contribution showed how embedded systems could achieve demanding image-processing performance without the energy costs of traditional GPUs or clusters. Curtis’s work is notable for bridging the gap between algorithm design and hardware implementation, offering a practical path for deploying advanced computer vision in resource-constrained environments. His research underscores the potential of massively parallel arrays in embedded systems, influencing subsequent work on real-time video analysis and autonomous navigation. For students and researchers, Curtis’s study remains a key reference point for understanding how to leverage unconventional parallel architectures to solve classic problems in computer vision efficiently.
Research Focus
Key Achievements
Top Papers
- 1Optical Flow on the Ambric Massively Parallel Processor Array (MPPA)9 citations · 2009