Title :
Optical Flow on the Ambric Massively Parallel Processor Array (MPPA)
Author :
Hutchings, Brad ; Nelson, Brent ; West, Stephen ; Curtis, Reed
Author_Institution :
Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA
Abstract :
The Ambric Massively Parallel Processor Array (MPPA) is a device that contains 336 32-bit RISC processors and is appropriate for embedded systems due to its relatively small physical and power footprint. Optical flow is a computationally-demanding and highly parallelizeable image-processing algorithm with applications in embedded systems such as robotics and autonomous vehicles. An optical flow algorithm is implemented on the Ambric device and is shown to achieve near FPGA performance at similar levels of power consumption while requiring many fewer lines of code (Java) than its FPGA counterpart (VHDL).
Keywords :
Java; embedded systems; image sequences; parallel processing; reduced instruction set computing; Ambric massively parallel processor array; Ambric programming; FPGA; Java; RISC processors; autonomous vehicles; embedded systems; image-processing algorithm; optical flow algorithm; power consumption; robotics; Concurrent computing; Embedded computing; Embedded system; Field programmable gate arrays; Image motion analysis; Optical arrays; Optical computing; Parallel robots; Reduced instruction set computing; Remotely operated vehicles; FPGA; MPPA; Optical Flow; Reconfigurable Computing;
Conference_Titel :
Field Programmable Custom Computing Machines, 2009. FCCM '09. 17th IEEE Symposium on
Conference_Location :
Napa, CA
Print_ISBN :
978-0-7695-3716-0
DOI :
10.1109/FCCM.2009.21