TPC-H_SF10
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Updated
Jan 20, 2025 - Jupyter Notebook
TPC-H_SF10
Source code of "Accelerating Multi-way Joins on the GPU", accepted by VLDBJ'22 - By Dr. Zhuohang Lai, Xibo Sun, Prof. Qiong Luo, and Xiaolong Xie
Data & query generation utilities for the TPC-H benchmark (unified repository)
TPC-H Benchmark helper for MySQL and MariaDB
This python tool helps managing DBMS benchmarking experiments in a Kubernetes-based HPC cluster environment. It enables users to configure hardware / software setups for easily repeating tests over varying configurations.
A repo containing parallel, high-performance TPC-H data generation utilities
A performance comparison of PostgreSQL 15.4 and 16.0 based on the YCSB, TPC-C and TPC-H
Apple Silicon Unified Memory for GPU-Accelerated Analytics — TPC-H benchmarks across DuckDB, NumPy, and MLX
Benchmarks provide standardized, repeatable, and comparable evaluations of decision support system technologies such as databases, data warehouses, and OLAP tools.
The Query Visualiser takes in a query as an input and outputs the most efficient query execution plan
Python bindings to TPC-H data generation
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