Showing 1–11 of 11 results
/ Date/ Name
Mar 25, 2015GraphMat: High performance graph analytics made productiveFeb 19, 2015Scalable Bayesian Optimization Using Deep Neural NetworksJul 27, 2016PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed ArchitecturesAug 20, 2021Understanding Data Storage and Ingestion for Large-Scale Deep Recommendation Model TrainingNov 30, 2020The LDBC Graphalytics BenchmarkAug 17, 2017Deep Learning at 15PF: Supervised and Semi-Supervised Classification for Scientific DataNov 8, 2017Matrix-normal models for fMRI analysisJul 8, 2021First-Generation Inference Accelerator Deployment at FacebookAug 31, 2017Galactos: Computing the Anisotropic 3-Point Correlation Function for 2 Billion GalaxiesMar 30, 2026A Normative Theory of Decision Making from Multiple Stimuli: The Contextual Diffusion Decision ModelMay 31, 2019Deep Learning Recommendation Model for Personalization and Recommendation Systems