Abstract: A system may include a set of compute engines. The compute engines may be configured to perform electronic design automation (EDA) operations on a hierarchical dataset representative of an integrated circuit (IC) design. The system may also include a dynamic resource balancing engine configured to allocate computing resources to the set of compute engines and reallocate a particular computing resource allocated to a first compute engine based on an operation priority of an EDA operation performed by a second compute engine, an idle indicator for the first compute engine, or a combination of both.

Abstract: A system may include a set of compute engines. The compute engines may be configured to perform electronic design automation (EDA) operations on a hierarchical dataset representative of an integrated circuit (IC) design. The system may also include a dynamic resource balancing engine configured to allocate computing resources to the set of compute engines and reallocate a particular computing resource allocated to a first compute engine based on an operation priority of an EDA operation performed by a second compute engine, an idle indicator for the first compute engine, or a combination of both.

Abstract: A computing system may include an electronic design automation (EDA) data constructor engine and an EDA executor engine. The EDA data constructor engine may be configured to perform, using the local resources of the computing system, a data preparation phase of an EDA procedure for a circuit design. The EDA executor engine may be configured to acquire remote resources for an execution phase of the EDA procedure, wherein the remote resources include remote compute resources and remote data resources remote to the computing system; broadcast constructor data constructed from the data preparation phase of the EDA procedure to the acquired remote data resources; and manage performance of the execution phase of the EDA procedure by the acquired remote compute resources and remote data resources.

Abstract: A computing system may include an electronic design automation (EDA) data constructor engine and an EDA executor engine. The EDA data constructor engine may be configured to perform, using the local resources of the computing system, a data preparation phase of an EDA procedure for a circuit design. The EDA executor engine may be configured to acquire remote resources for an execution phase of the EDA procedure, wherein the remote resources include remote compute resources and remote data resources remote to the computing system; broadcast constructor data constructed from the data preparation phase of the EDA procedure to the acquired remote data resources; and manage performance of the execution phase of the EDA procedure by the acquired remote compute resources and remote data resources.

Abstract: Multiple processing threads operate in parallel to convert data, produced by one or more electronic design automation processes in an initial format, into another data format for output. A processing thread accesses a portion of the initial results data produced by one or more electronic design automation processes in an initial format and in an initial organizational arrangement. The processing thread will then store data within this portion of the initial results data belonging to a target category of the desired output organizational arrangement, such as a cell, at a memory location corresponding to that target category. It will also convert the stored data from a first data format to another data format for output. The first data format may use a relatively low amount of compression, with the second data format may use a relatively high level of compression.