Title :
Parallel holographic image calculation and compression
Author :
Newman, Daniel M. ; Goeckel, Dennis L. ; Crawford, Richerd D. ; Abraham, Seth
Author_Institution :
Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
Abstract :
The authors describe the parallel implementation of an algorithm suitable for hologram creation on a 16384 processor SIMD (single-instruction multiple-data) MasPar machine. When computing an image of typical complexity, the parallel implementation sacrifices up to 11% efficiency in data compression to gain a performance up to 250 times greater than that achieved on a uniprocessor workstation. The MasPar can achieve pattern generation more than 750 times faster than the fully optimized Sparc C code
Keywords :
computer-generated holography; data compression; image processing; parallel algorithms; performance evaluation; data compression; hologram creation; image calculation; parallel implementation; Concurrent computing; Data compression; Electron beams; Equations; Hardware; Holography; Image coding; Lithography; Performance gain; Software algorithms;
Conference_Titel :
Frontiers of Massively Parallel Computation, 1992., Fourth Symposium on the
Conference_Location :
McLean, VA
Print_ISBN :
0-8186-2772-7
DOI :
10.1109/FMPC.1992.234923
