Nvidia Corporation

Lsi Logic Corporation

Avago Technologies General IP (singapore) Pte. Ltd.

Manjunatha Gowda

Karthikeyan Natarajan

Prasad Subbarao

Sandeep Gangundi

Kaushik Narayanun

Lijuan Luo

Harbinder Sikka

Ramnath Venkatraman

Thai Minh Nguyen

Saket K Goyal

Santhanakrishnan Raman

Prabhakaran Krishnamurthy

Hai H Tan

Techniques to improve the accuracy and speed for detection and remediation of difficult to test nodes in a circuit design netlist. The techniques utilize improved netlist representations, test point insertion, and trained neural networks.

Deep learning based identification of difficult to test nodes

In one embodiment, an integrated circuit (IC) device includes a first logic block having performance characteristics, a first critical path monitor (CPM) configured to monitor the performance characteristics of the first logic block, and a first CPM envelope circuit enveloping the first CPM. The first logic block is configured to operate in at least one of a first functional mode and a first scan mode. The first CPM is adapted to operate in at least one of a second functional mode and a second scan mode. The first and second functional modes use higher clock frequencies, respectively, than the first and second scan modes. The first CPM envelope circuit comprises a clock-gate circuit adapted to allow the IC device to operate in a mixed mode, wherein the first CPM operates in the second functional mode while the first logic block operates in the first scan mode.

Closed-loop adaptive voltage scaling for integrated circuits

A method and system for predicting delay of a multi-million gate sub-micron ASIC design is disclosed. The method and system include automatically partitioning a netlist into at least two logic cones, and running respective instances of a delay prediction application on the logic cones on at least two computers in parallel.

Distributed delay prediction of multi-million gate deep sub-micron ASIC designs

Growing community of inventors

San Jose, CA, United States of America

Manjunatha Gowda