Chemical Kinetics Coprocessor Performance Data and Figures

A 2017 bundle of data and plotting scripts from the paper "Accelerating finite-rate chemical kinetics with coprocessors: comparing vectorization methods on GPUs, MICs, and CPUs". The data likely contains performance benchmarks comparing computational methods. The work was authored by Christopher P Stone, Andrew T Alferman, Kyle E. Niemeyer, and Chih-Jen Sung.

Use Cases

• Benchmarking GPU versus CPU performance for chemical kinetics simulations based on the described comparison.
• Analyzing the impact of different vectorization methods on computational speed based on the paper's focus.
• Reproducing figures from the associated scientific paper using the included plotting scripts and data.

Strengths

• Includes plotting scripts for figure reproduction.
• Data is directly associated with a peer-reviewed paper available on arXiv.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Christopher P Stone et al., associated with the paper on arXiv.

Collection Method

Likely generated from computational experiments described in the paper.

Time Range

2017