CUDA and OpenMP Performance Benchmarks for Nucleotide Sequence Sizes

Execution times in seconds for CUDA and OpenMP implementations run on NVIDIA GPU and Intel/AMD CPU platforms. The dataset contains results for varying input sizes measured in thousands of nucleotides, with the best results for each architecture underlined. It is a 5.5 KB Excel file authored by Mateusz Gruzewski and shared under a CC-BY-4.0 license on figshare, last updated on May 21, 2026.

Use Cases

• Benchmark GPU vs. CPU performance based on execution times for different input sizes.
• Compare CUDA and OpenMP parallelization efficiency based on the reported execution results.
• Analyze scaling behavior for nucleotide sequence processing based on the varying input size parameter.

Strengths

• Directly compares execution times for two major parallel programming models (CUDA and OpenMP).
• Includes results for two distinct hardware architectures (NVIDIA GPU and Intel/AMD CPU).
• Benchmarks performance across multiple input sizes measured in thousands of nucleotides.

Limitations

• The dataset is very small at 5.5 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Freshness

Last updated 2026-05-21 07:32:55; freshness should be verified.