Diagonal sums of tall Gram matrices exhaust memory
Summing each diagonal of a huge X times X transpose matrix runs out of memory because the full matrix is built.
Tier II · Emerging Problems that are still building up.
12 public reports · first reported 5 October 2026 · last reported 7 October 2026
What's going wrong
Users of Julia's discussion forum report that computing the diagonal sums of a very large X times X transpose product fails with out-of-memory errors, because the full matrix is materialized before the sums are taken.
AI-assisted: written with the help of AI from the reports. The idea report has the full summary.
In the idea report
- The full summary.
- The products the 12 reports are about, and how many came each month.
- Related problems.
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