ECP-CANDLE

The CANDLE benchmark codes implement deep learning architectures relevant to problems in cancer. These architectures address problems at different biological scales, specifically problems at the molecular, cellular and population scales.

To run this test with the Phoronix Test Suite, the basic command is: phoronix-test-suite benchmark ecp-candle.

Performance Metrics

ECP-CANDLE 0.3

Benchmark: P1B2

OpenBenchmarking.org metrics for this test profile configuration based on 302 public results since 12 August 2020 with the latest data as of 3 May 2021.

Below is an overview of the generalized performance for components where there is sufficient statistically significant data based upon user-uploaded results. It is important to keep in mind particularly in the Linux/open-source space there can be vastly different OS configurations, with this overview intended to offer just general guidance as to the performance expectations.

Based on OpenBenchmarking.org data, the selected test / test configuration (ECP-CANDLE 0.3 - Benchmark: P1B2) has an average run-time of 2 minutes. By default this test profile is set to run at least 1 times but may increase if the standard deviation exceeds pre-defined defaults or other calculations deem additional runs necessary for greater statistical accuracy of the result.

Does It Scale Well With Increasing Cores?

No, based on the automated analysis of the collected public benchmark data, this test / test settings does not generally scale well with increasing CPU core counts. Data based on publicly available results for this test / test settings, separated by vendor, result divided by the reference CPU clock speed, grouped by matching physical CPU core count, and normalized against the smallest core count tested from each vendor for each CPU having a sufficient number of test samples and statistically significant data.

Recent Test Results

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