PTS4R Implementation Execution Times for Varying Nucleotide Input Sizes

Execution times in seconds compare OpenCL-based GPU and OpenMP-based CPU implementations of the PTS4R algorithm. The 5.5 KB dataset, authored by Mateusz Gruzewski, is available under a CC-BY-4.0 license. It was last updated on May 21, 2026.

Use Cases

• Benchmarking GPU vs. CPU performance based on execution time data
• Analyzing algorithmic scaling based on varying input sizes in thousands of nucleotides
• Comparing OpenCL and OpenMP parallel programming frameworks for a specific task

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Specific comparison between OpenCL (GPU) and OpenMP (CPU) implementations is clearly defined.
• License (CC-BY-4.0) permits open sharing and modification.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Mateusz Gruzewski

Collection Method

Likely contains benchmark results from computational experiments.

Freshness

Last updated 2026-05-21 07:32:56; freshness should be verified.