Title :
INCA: a next-generation architecture for simulation
Author :
Lawrence, Jay ; Ussery, Cary
Abstract :
The paper presents INCA, the Interleaved Native-Compiled code Architecture for simulation. INCA is a flexible strategy to create optimized simulations involving multiple design styles, languages, and scheduling paradigms. INCA emphasizes optimized compilers for HDLs vs. more traditional kernel-based approaches. The critical aspects of the architecture include: the separation of kernel and language, usage of elaboration to construct optimal simulation executables, method-based network evaluation, and techniques for mixing different scheduling approaches
Keywords :
circuit analysis computing; hardware description languages; logic CAD; optimising compilers; processor scheduling; software engineering; HDLs; INCA; Interleaved Native-Compiled code Architecture for simulation; elaboration; kernel-based approaches; kernel-language separation; languages; method-based network evaluation; mixed scheduling approaches; multiple design styles; next-generation simulation architecture; optimal simulation executables; optimized compilers; optimized simulations; scheduling paradigm; Accuracy; Application specific integrated circuits; Arithmetic; Design optimization; Discrete event simulation; Hardware design languages; Kernel; Optimizing compilers; Runtime; Timing;
Conference_Titel :
Verilog HDL Conference, 1996. Proceedings., 1996 IEEE International
Conference_Location :
Santa Clara, CA
Print_ISBN :
0-8186-7431-8
DOI :
10.1109/IVC.1996.496012
