Akira Naruse

Akira Naruse received a master’s degree in Computer Science from Nagoya University, Nagoya, Japan. He is currently a principal developer technology engineer at NVIDIA. Prior to joining NVIDIA, he was a research engineer with Fujitsu Laboratory and was involved in various high-performance computing projects. His main interests include performance analysis and optimization of scientific computing and deep learning applications on very large systems.
Akira Naruse

Posts by Akira Naruse

Data Science

Accelerating Vector Search: NVIDIA cuVS IVF-PQ Part 2, Performance Tuning

In the first part of the series, we presented an overview of the IVF-PQ algorithm and explained how it builds on top of the IVF-Flat algorithm, using the... 14 MIN READ
Data Science

Accelerating Vector Search: NVIDIA cuVS IVF-PQ Part 1, Deep Dive

In this post, we continue the series on accelerating vector search using NVIDIA cuVS. Our previous post in the series introduced IVF-Flat, a fast algorithm for... 14 MIN READ