With the implementation of the load balancer in the DE algorithm, optimization Report your results to improve the quality of ASCO. When using differentĬomputers or load conditions, optimization time is expected to be reduced. Load balancing is the major novelty for this release. More patches to compile natively in win32 using MinGW32.Dynamic load balancing in parallel differential evolution (DE) algorithm.With this release, a better assignment of the load among the existing computer,įurther reduces optimization time. Furthermore,ĪSCO has been throughly tested to guarantee that a professional grade SPICE The above enumerated improvements translates to you, the user, that the Emulation of local optimization using the parallel DE optimizer.The optimizationĪlgorithm code has been reorganized in a more logical way. ![]() Bug fixes in the load balancing algorithm and other minor corrections.Ī few bugs bugs were found and fixed since the last release.Corrections to compile in win32 and better work with Qucs The dormant code for the RF module has been revised. Include support for logarithmic search space for the existing variables.Improvements in the RF module functionality.Bug fixes in the load balancing algorithm.Īs of today no known errors exist in the parallel implementation of the.Parallel optimizations, the new code will solve the dormant error in the load However, this release bring LTspice and Spectre a few steps closer. Support for LTspice and Spectre in the 'postp' tool.Īmong commercial simulators, Eldo and HSPICE are stil the best supported.Corrected load balancer implementation.Corrected multiprocessor optimization algorithm message truncation error related to MPI_SCATTERV function.Speed-up in the order ofġ0x-1000x is possible compared to typical Monte Carlo methods. Only a demonstration example of Fast Monte Carlo. Results are from a single CPU (1 core)Ī total of 4 normally distributed variations exist in the netlist, as this is Of inverters in the presence of mismatch for both SPICE and ASCO-FMC (anĮxtension to ASCO that achieves High-Sigma Monte Carlo results without the need The above table presents the results of the propagation delay (tp) of a cascade Whatever reason), the basic infrastructure is already available in ASCO. Interestingly, should statistical analysis is required (for With or without Technology Migration in mind and Robustness and Yield The code was revamped to simplify the support of new SPICE simulators and theĪSCO can be used for Circuit Sizing, Design Reuse of an existing tested design Most of the work went increase the ease-of-use with Spectre. ![]()
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