DocumentCode :
2576401
Title :
A special purpose hybrid SIMD processor for logic event simulation
Author :
Dalton, Damian
Author_Institution :
Dept. of Comput. Sci., Univ. Coll. Dublin, Ireland
fYear :
1999
fDate :
3-5 Feb 1999
Firstpage :
74
Lastpage :
83
Abstract :
This paper introduces a hybrid associative memory/SIMD parallel processor, APPLES, which has been specifically designed for logic simulation. It reviews the computational structure which permits parallel execution of logic gate evaluations in memory. This facilitates fine grain execution on a massive scale of the basic tasks inherent in VLSI logic simulation. Furthermore, unlike other SIMD approaches the simulation is not limited to a unit delay model, complex delays such as inertial delays are permissible. The processor has been implemented in Verilog and assessed using ISCAS-85 benchmark. Gate evaluation is executed in constant time, whereas updating fan-out lists expands with circuit size. However, the APPLES architecture enables this latter task to be parallelised subject to various system parameters. The most important constraint is identified as the fan-out memory access time relative to the scan rate of the associative memory
Keywords :
VLSI; content-addressable storage; delays; logic simulation; parallel processing; timing; APPLES; ISCAS-85 benchmark; VLSI; Verilog; associative memory; computational structure; fine grain execution; hybrid associative memory/SIMD parallel processor; inertial delays; logic event simulation; parallel execution; special purpose hybrid SIMD processor; Associative memory; Circuit simulation; Computational modeling; Concurrent computing; Delay; Discrete event simulation; Hardware design languages; Logic design; Logic gates; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing, 1999. PDP '99. Proceedings of the Seventh Euromicro Workshop on
Conference_Location :
Funchal
Print_ISBN :
0-7695-0059-5
Type :
conf
DOI :
10.1109/EMPDP.1999.746648
Filename :
746648
Link To Document :
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