About Me

Hi! I’m Bowen, a PhD candidate in Computer Science at ETH Zürich🇨🇭, working with Professors Gustavo Alonso and Ana Klimovic to accelerate databases for heterogeneous computing platforms. My research explores how to unleash the full power of GPUs and advanced interconnects for high-performance data analytics. Along the way, I’ve worked with Meta, Microsoft Gray Systems Lab, AWS Redshift, and Swisscom.

Prior to my PhD study, I obtained my Master’s degree (with distinction) also from ETH and Bachelor’s degree (First-Class honours) from the Chinese University of Hong Kong (CUHK). You can find out more about my past experience in my resume.

News

Sep 2025

Gave a talk at Velox Tech Talk at Meta

Sep 2025

A paper on multi-GPU query processing has been accepted to VLDB 2026

Sep 2025

We presented two papers at VLDB 2025

Aug 2025

Finished a 12-week internship with Meta

Jun 2025

Internship work featured in Carlo Curino’s keynote in DaMon 2025

Jun 2025

Attended SIGMOD 2025 in Berlin for our paper

May 2025

Joined Meta as an SWE intern

Earlier

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Publications

Aug 2025

Terabyte-Scale Analytics in the Blink of an Eye

Bowen Wu*, Wei Cui*, Carlo Curino, Matteo Interlandi, Rathijit Sen. To appear in VLDB 2026. PDF

Jun 2025

Cracking Vector Search Indexes

Vasilis Mageirakos, Bowen Wu, Gustavo Alonso. VLDB 2025. PDF

Jun 2025

Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads on Modern GPUs

Marko Kabic, Bowen Wu, Jonas Dann, Gustavo Alonso. VLDB 2025. PDF

Feb 2025

Efficiently Processing Joins and Grouped Aggregations on GPUs.

Bowen Wu, Dimitrios Koutsoukos, Gustavo Alonso. SIGMOD 2025. PDF

Apr 2021

An Information-Theoretic Measure for Enabling Category Exemptions with an Application to Filter Bubbles

Chenyu Jiang*, Bowen Wu*, Sanghamitra Dutta, Pulkit Grover. BIAS@ECIR2021. PDF

Jun 2020

High Performance Distributed OLAP on Property Graphs with Grasper

Hongzhi Chen, Bowen Wu, Shiyuan Deng, Chenghuan Huang, Changji Li, Yichao Li, James Cheng. SIGMOD 2020. PDF