Research Interest:
– Energy-efficient near-threshold computing
– On-chip power supply boosting
Current Research:
– Near-threshold computing to maximize performance of heterogeneous workloads given a power constraint. Power consumption of a core can be reduced super linearly by lowering supply voltage while throughput can be maintained through parallelism.
– Circuit and CAD techniques to enable near-threshold voltage operation.
– Fast core boosting to efficiently adjust operating voltage to maximize energy efficiency. An intermediate power rail is used to raise the core supply voltage without disturbing other cores on a many-core processor.
– Random number generation by using time-dependent oxide breakdown (OxiGen). Most prior true random number generator architectures rely on post-processing to remove bias in the generated stream. OxiGen repeatedly forces soft gate oxide dialectric breakdown under voltage stress and uses the time to breakdown to generate a random bit sequence, without requiring a post-processor.