By Luciano Lavagno, Louis Scheffer, Grant Martin
ISBN-10: 0849379245
ISBN-13: 9780849379246
Proposing a accomplished review of the layout automation algorithms, instruments, and methodologies used to layout built-in circuits, the Electronic layout Automation for built-in Circuits Handbook comes in volumes. the second one quantity, EDA for IC Implementation, Circuit layout, and approach Technology, completely examines real-time common sense to GDSII (a dossier layout used to move information of semiconductor actual layout), analog/mixed sign layout, actual verification, and know-how CAD (TCAD). Chapters contributed by way of top specialists authoritatively speak about layout for manufacturability on the nanoscale, strength provide community layout and research, layout modeling, and masses extra. retailer at the entire set.
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Extra info for EDA for IC Implementation, Circuit Design, and Process Technology
Sample text
For such applications, compatible output don’t cares (CODCs) [75] can be used. Compatible output don’t cares have the property that after they are computed for any design, a node can be optimized against its CODCs without the need to recompute CODCs of other nodes. The don’t care computations outlined above rely on an image computation, which requires computation of global ROBDDs of the circuit nodes. This limits the effectiveness of the don’t care computation. Recently, approximate CODC [76] and ODC [77] computations were introduced.
These algorithms are based on cofactoring with respect to the most binate variable in the cover until unate leaves are obtained. The operation is efficiently performed on unate leaves, and then the results are recursively merged upward until the result of the operation on the original cover is obtained. When the reduce, expand, and irredundant iteration encounters a local minimum, a LASTGASP algorithm is called, which attempts to add more primes in a selective manner, in an attempt to escape the local minimum.
2-7 Logic Synthesis tree is mapped optimally (for area). Thus, DAG covering is approximated with a sequence of tree mapping steps. Tree covering is solved using dynamic programming, which leads to optimum coverings [95] under certain conditions on the cost function. Minimum area tree-based technology mapping is solvable in time polynomial in the number of nodes in the subject graph, and in the number of patterns in the library. Rudell [93] extends technology mapping to include timing using a binning technique.
EDA for IC Implementation, Circuit Design, and Process Technology by Luciano Lavagno, Louis Scheffer, Grant Martin
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