1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.DB2026★ 1 cited
Do GPUs Really Need New Tabular File Formats?
Jigao Luo, Qi Chen, Carsten Binnig
Parquet is the de facto columnar file format in modern analytical systems, yet its configuration guidelines have largely been shaped by CPU-centric execution models. As GPU-acceler…
cs.DB2026
ZipFlow: a Compiler-based Framework to Unleash Compressed Data Movement for Modern GPUs
Gwangoo Yeo, Zhiyang Shen, Wei Cui +5
In GPU-accelerated data analytics, the overhead of data transfer from CPU to GPU becomes a performance bottleneck when the data scales beyond GPU memory capacity due to the limited…