Michael Schaffner
Google (United States)(US)
Publications by Year
Research Areas
Advanced Vision and Imaging, Parallel Computing and Optimization Techniques, Advanced Neural Network Applications, Low-power high-performance VLSI design, Advanced Memory and Neural Computing
Most-Cited Works
- → Ara: A 1-GHz+ Scalable and Energy-Efficient RISC-V Vector Processor with Multiprecision Floating-Point Support in 22-nm FD-SOI(2020)126 cited
- → The transprecision computing paradigm: Concept, design, and applications(2018)75 cited
- → A Scalable Near-Memory Architecture for Training Deep Neural Networks on Large In-Memory Datasets(2019)72 cited
- → The relevance of rock shape over mass—implications for rockfall hazard assessments(2021)59 cited
- → Design and Evaluation of a Low-Power Sensor Device for Induced Rockfall Experiments(2017)48 cited
- → BYOC(2020)28 cited
- → 4.6 A 65nm CMOS 6.4-to-29.2pJ/FLOP@0.8V shared logarithmic floating point unit for acceleration of nonlinear function kernels in a tightly coupled processor cluster(2016)26 cited
- → StoneNode: A low-power sensor device for induced rockfall experiments(2017)25 cited
- → Network-accelerated non-contiguous memory transfers(2019)22 cited
- → FPGA Implementation of a Kalman-Based Motion Estimator for Levitated Nanoparticles(2018)19 cited