[Yusuke Matsui] Quantized Linear Algebra: Fast and Memory-efficient Matrix Computation by Data Quantization

Researcher

Yusuke Matsui

Yusuke Matsui

Research Organization of Information and Systems
National Institute of Informatics
Researcher

Outline

We propose a fast and memory-efficient matrix computation scheme, Quantized Linear Algebra (QLA). QLA first compresses input vectors or matrices into short memory efficient codes. The mathematical operations over the codes such as the matrix product are efficiently computed using looking up techniques. By the proposed QLA, computationally heavy operations including large scale machine learning can be achieved using small scale computational resources.

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