699 citations
- Nvidia (United Kingdom)GB27 papers
- University of WashingtonUS10 papers
- California Institute of TechnologyUS9 papers
- Stanford UniversityUS9 papers
- Argonne National LaboratoryUS8 papers
- Georgia Institute of TechnologyUS8 papers
- Lawrence Berkeley National LaboratoryUS8 papers
- Seattle UniversityUS8 papers
- University of TorontoCA8 papers
- Oak Ridge National LaboratoryUS7 papers
- University of California, BerkeleyUS7 papers
- University of Illinois Urbana-ChampaignUS7 papers
Showing 2017Show all
3 papers · 1 filter
cs.NE2017★ 125 cited
SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks
Angshuman Parashar, Minsoo Rhu, Anurag Mukkara +6
Convolutional Neural Networks (CNNs) have emerged as a fundamental technology for machine learning. High performance and extreme energy efficiency are critical for deployments of C…
cs.AR2017★ 56 cited
Understanding Reduced-Voltage Operation in Modern DRAM Chips: Characterization, Analysis, and Mechanisms
Kevin K. Chang, Abdullah Giray Yağlıkçı, Saugata Ghose +7
The energy consumption of DRAM is a critical concern in modern computing systems. Improvements in manufacturing process technology have allowed DRAM vendors to lower the DRAM suppl…
cs.RO2017★ 2 cited
Occupancy Map Building through Bayesian Exploration
Gilad Francis, Lionel Ott, Roman Marchant +1
We propose a novel holistic approach for safe autonomous exploration and map building based on constrained Bayesian optimisation. This method finds optimal continuous paths instead…