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In this paper, we present a novel simulation approach for power grid network analysis. The new approach, called <i>ETBR</i> for extended truncated balanced realization, is based on model order reduction techniques to reduce the circuit matrices before the simulation. Different from the (improved) extended Krylov subspace methods EKS/IEKS [15, 2], ETBR(More)
In this paper, we investigate a new architecture-level thermal characterization problem from behavioral modeling perspective to address the emerging thermal related analysis and optimization problems for high-performance multi-core microprocessor design. We propose a new approach, called <i>ThermPOF</i>, to build the thermal behavioral models from the(More)
In this article, we propose a new architecture-level parameterized dynamic thermal behavioral modeling algorithm for emerging thermal-related design and optimization problems for high-performance multicore microprocessor design. We propose a new approach, called <i>ParThermPOF</i>, to build the parameterized thermal performance models from the given(More)
Efficient temperature estimation is vital for designing thermally efficient, lower power and robust integrated circuits in nanometer regime. Thermal simulation based on the detailed thermal structures no longer meets the demanding tasks for efficient design space exploration. The compact and composable model-based simulation provides a viable solution to(More)
—This paper proposes a new parameterized dynamic thermal modeling algorithm for emerging thermal-aware design and optimization for high-performance microprocessor design at architecture and package levels. Compared with existing behav-ioral thermal modeling algorithms, the proposed method can build the compact models from more general transient power and(More)
In this paper, we propose a new model order reduction approach for large interconnect circuits using hierarchical decomposition and Krylov subspace projection-based model order reduction. The new approach, called <i>hiePrimor</i>, first partitions a large interconnect circuit into a number of smaller subcircuits and then performs the projection-based model(More)
In this paper, we present a novel statistical analysis approach for large power grid network analysis under process variations. The new algorithm is very efficient and scalable for huge networks with a large number of variational variables. This approach, called <i>varETBR</i> for variational extended truncated balanced realization, is based on model order(More)
SUMMARY In this paper, we present a novel analysis approach for large on-chip power grid circuit analysis. The new approach, called ETBR for extended truncated balanced realization , is based on model order reduction techniques to reduce the circuit matrices before the simulation. Different from the (improved) extended Krylov subspace methods EKS/IEKS(More)
In this paper, we propose a new architecture-level parameterized transient thermal behavioral modeling algorithm for emerging thermal related design and optimization problems for high-performance chip-multiprocessor (CMP) design. We propose a new approach, called <i>ParThermPOF</i>, to build the parameterized thermal performance models from the given(More)