Paul N. Whatmough
Publications by Year
Research Areas
Advanced Neural Network Applications, Advanced Memory and Neural Computing, Low-power high-performance VLSI design, CCD and CMOS Imaging Sensors, Parallel Computing and Optimization Techniques
Most-Cited Works
- → Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators(2016)238 cited
- → A Systematic Methodology for Characterizing Scalability of DNN Accelerators using SCALE-Sim(2020)195 cited
- → SCALE-Sim: Systolic CNN Accelerator Simulator(2018)194 cited
- → TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids(2020)111 cited
- → Systolic Tensor Array: An Efficient Structured-Sparse GEMM Accelerator for Mobile CNN Inference(2020)101 cited
- → DNN Engine: A 28-nm Timing-Error Tolerant Sparse Deep Neural Network Processor for IoT Applications(2018)96 cited
- → SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers(2019)82 cited
- → VLSI Architecture for a Reconfigurable Spectrally Efficient FDM Baseband Transmitter(2012)70 cited
- → Mesorasi: Architecture Support for Point Cloud Analytics via Delayed-Aggregation(2020)66 cited
- → SMAUG(2020)59 cited