Synopsys, Inc.

Ramakrishnan Balasubramanian

Suman Chakravartula

Rohit Kapur

Jyotirmoy Saikia

Ajay Singh Bisht

Mark W Brown

Parthajit Bhattacharya

Yibing Wang

Jayanta Roy

Sriram Sitaraman

Rajesh Uppuluri

Ashwin Kumar

Sunil Reddy Tiyyagura

Arney Deshpande

Systems and methods for integrated circuit (IC) analysis using a multi-level data hierarchy implemented on a distributed compute and data infrastructure are described. An IC design may be represented using a set of storage areas, where each storage area may be stored in a contiguous block of storage and may correspond to a portion of the IC design. An analysis application may be executed on the IC design, where a subset of the set of storage areas that is used by the analysis application may be retrieved on-demand.

Integrated circuit analysis using a multi-level data hierarchy implemented on a distributed compute and data infrastructure

Systems and methods provide acceleration of automatic test pattern generation in a multi-core computing environment via multi-level parameter value optimization for a parameter set with speculative scheduling. The methods described herein use multi-core based parallel runs to parallelize sequential execution, speculative software execution to explore possible parameter sets, and terminate/prune runs when the optimum parameter value is found at a previous level. The present invention evaluates the design prior to the implementation of the compression IP so that it can define the configuration of DFT and ATPG to maximize the results of compression as measured by test data volume and test application time.

Accelerating automatic test pattern generation in a multi-core computing environment via speculatively scheduled sequential multi-level parameter value optimization

Provisioning resources in public cloud infrastructure to perform at least part of electronic design automation (EDA) tasks on the public cloud infrastructure. The provisioning of resources is handled by a cloud provisioning system that is generally operated and maintained by an EDA tool developer using a provisioning credential. After the resources are provisioned, the cloud provisioning system places user key on the provisioned resources. Once the user key is placed on the provisioned resources, the cloud provisioning system has only limited access or no access to the provisioned resources. Instead, a user client device takes over the control of the provisioned resources by using a user's access credential. The provisioning credential is retained by the EDA tool developer and is not released to the user. Similarly, the access credential is retained by the user and not released to the EDA tool developer. In this way, the EDA tool developer can retain control of the resources deployed for the EDA tasks while ensuring that the user's information associated with the EDA tasks is secure.

Secure provisioning of resources in cloud infrastructure

Provisioning resources in public cloud infrastructure to perform at least part of electronic design automation (EDA) tasks on the public cloud infrastructure. Performance metrics of servers in the public cloud infrastructure and performance history of a user's past EDA tasks are maintained to estimate operation parameters such as runtime of a new EDA task. Based on the estimation, a user can provision appropriate types and amounts of resources in the public cloud infrastructure in a cost-efficient manner. Also, a plurality of EDA tasks are assigned to computing resources in a manner that minimizes the overall cost for performing the EDA tasks.

Efficient provisioning of resources in public infrastructure for electronic design automation (EDA) tasks

Growing community of inventors

Santa Clara, CA, United States of America

Ramakrishnan Balasubramanian