Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication

no code implementations • 19 Jun 2021 • Gordon E. Moon, Hyoukjun Kwon, Geonhwa Jeong, Prasanth Chatarasi, Sivasankaran Rajamanickam, Tushar Krishna

There is a growing interest in custom spatial accelerators for machine learning applications.

Scheduling

PL-NMF: Parallel Locality-Optimized Non-negative Matrix Factorization

no code implementations • 16 Apr 2019 • Gordon E. Moon, Aravind Sukumaran-Rajam, Srinivasan Parthasarathy, P. Sadayappan

Non-negative Matrix Factorization (NMF) is a key kernel for unsupervised dimension reduction used in a wide range of applications, including topic modeling, recommender systems and bioinformatics.

Dimensionality Reduction Recommendation Systems