Reducing Data Loading Bottleneck with Coarse Feature Vectors for Large Scale Learning

Shingo Takamatsu, Carlos Guestrin

Abstract: In large scale learning, disk I/O for data loading is often the runtime bottleneck. We propose a lossy data compression scheme with a fast decompression to reduce disk I/O, allocating fewer than th...