FastLanesGpu-Damon2025

This repository contains the source code and benchmark results for the paper "G-ALP: Rethinking Light-weight Encodings for GPUs". The benchmarks can be repeated on a machine with an NVIDIA GPU using the benchmarking script provided in the repo.

Compilation

Software requirements:

• nvcc
• nvCOMP
• g++-12

To compile the code, run:

make all

Benchmarks

Requires Nsight Compute CLI. To test on real datasets, place the binary files of single precision float arrays into the folder binary-columns.

Compile the code, and run:

sudo ./data-collection/run-benchmarks.py all output/