1 January 2010 Full-chip characterization of compression algorithms for direct-write maskless lithography systems
Vito Dai, Avideh Zakhor, George R. Cramer
Author Affiliations +
Abstract
Future lithography systems must produce more dense microchips with smaller feature sizes while maintaining throughput comparable to today's optical lithography systems. This places stringent data-handling requirements of up to 12 Tb/s on the design of any maskless lithography system. In past work, we have developed data-path architectures for such throughput and shown that lossless compression algorithms play a key role in such systems. We currently investigate the effectiveness of the Block C4 lossless layout compression algorithm in increasing throughput of direct-write maskless lithography systems. In particular, we characterize the compression efficiency of Block C4 on 1024×1024 blocks of select layers of two 65-nm chips: a state-of-the-art microprocessor chip and a low-density parity code chip used commonly in wireless communication applications. Overall, we have found that compression efficiency varies significantly from design to design, from layer to layer, and even within parts of the same layer. We propose a number of ways to cope with the variation of compression ratios within a layer and characterize the way each method affects the overall wafer layer throughput.
©(2010) Society of Photo-Optical Instrumentation Engineers (SPIE)
Vito Dai, Avideh Zakhor, and George R. Cramer "Full-chip characterization of compression algorithms for direct-write maskless lithography systems," Journal of Micro/Nanolithography, MEMS, and MOEMS 9(1), 013055 (1 January 2010). https://doi.org/10.1117/1.3366553
Published: 1 January 2010
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications and 1 patent.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Semiconducting wafers

Maskless lithography

Data communications

Image compression

Computer programming

Lithography

Visualization

Back to Top