Computational ProfileΒΆ

To establish an overview of the computational profile of ACES, a collection of various common tasks was queried on the MIMIC-IV dataset in MEDS format.

The MIMIC-IV MEDS schema has approximately 50,000 patients per shard with an average of approximately 80,500,000 total event rows per shard over five shards.

All tests were executed on a Linux server with 36 cores and 340 GBs of RAM available. A single MEDS shard was used, which provides a bounded computational overview of ACES. For instance, if one shard costs \(M\) memory and \(T\) time, then \(N\) shards may be executed in parallel with \(N*M\) memory and \(T\) time, or in series with \(M\) memory and \(T*N\) time.

Task

# Patients

# Samples

Total Time (secs)

Max Memory (MiBs)

First 24h in-hospital mortality

20,971

58,823

363.09

106,367.14

First 48h in-hospital mortality

18,847

60,471

364.62

108,913.95

First 24h in-ICU mortality

4,768

7,156

216.81

39,594.37

First 48h in-ICU mortality

4,093

7,112

217.98

39,451.86

30d post-hospital-discharge mortality

28,416

68,547

182.91

30,434.86

30d re-admission

18,908

464,821

367.41

106,064.04