Sun Microsystems, Inc.

Deepankar Bairagi

David S Allison

William K Lam

Victor A Chang

Mohamed Soufi

Michael S Ball

Jeffrey M Broughton

Cristina N Cifuentes

A method involves building an intermediate form data flow graph (IFgraph) from an intermediate form data flow tree (IFtree) associated with the logic design, partitioning the IFgraph across at least three levels of granularity to obtain a partitioned IFgraph, wherein partitioning the IFgraph involves balancing a set of nodes of the IFgraph into a first subset and a second subset, wherein each of the first subset and second subset are within a predefined constraint of the cycle-based system, and wherein the balancing is performed on at least one of the levels of granularity, and rewriting the IFtree based on the partitioned IFgraph.

Partitioning for a massively parallel simulation system

A method for executing an instruction stream includes partitioning the instruction stream using a partition point to obtain a first partition of the instruction stream and a second partition of the instruction stream, configuring the first partition and the second partition to fit separate e-caches, analyzing the first partition and the second partition to generate a runtime execution facility and a data transfer facility, and executing the first partition and the second partition on separate processors using the runtime execution facility and the data transfer facility.

Method to partition large code across multiple e-caches

A method for dynamically customizing object code for simulation includes obtaining a statically generated object (SGO) and a first test vector, segmenting the SGO with a marker node to generate a segmented SGO comprising a plurality of SGO segments, generating a first simulation profile using the segmented SGO and the first test vector, locating a first unexercised segment of the plurality of SGO segments using the first simulation profile, and generating a first reduced SGO by removing the first unexercised segment from the segmented SGO.

Boosting simulation performance by dynamically customizing segmented object codes based on stimulus coverage

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Davis, CA, United States of America

Deepankar Bairagi