---
id: "claim:normalization-for-sampled-count-data-2022-05-06-biorxiv-v1:bb411c92ef159c3c0b99"
kind: "claim"
title: "In contrast, sparse matrices have been used for high-performance computing for a long time (Orchard-Eays 1956; Markowitz"
description: "In contrast, sparse matrices have been used for high-performance computing for a long time (Orchard-Eays 1956; Markowitz 1957), and can drastically reduce the memory overhead required to perform memory-intensive computations."
url: "https://sina.bio/claim/in-contrast-sparse-matrices-have-been-used-for-high-performance-computi-740a706b"
---

# In contrast, sparse matrices have been used for high-performance computing for a long time (Orchard-Eays 1956; Markowitz

In contrast, sparse matrices have been used for high-performance computing for a long time (Orchard-Eays 1956; Markowitz 1957), and can drastically reduce the memory overhead required to perform memory-intensive computations.

## Content

In contrast, sparse matrices have been used for high-performance computing for a long time (Orchard-Eays 1956; Markowitz 1957), and can drastically reduce the memory overhead required to perform memory-intensive computations.

## Metadata

```json
{
  "claim_position": 131,
  "source_publication_id": "version:normalization-for-sampled-count-data--2022-05-06-biorxiv-v1",
  "source_work_id": "work:normalization-for-sampled-count-data"
}
```

## Connections (1)

### Depth normalization for single-cell genomics count data

- ID: `version:normalization-for-sampled-count-data--2022-05-06-biorxiv-v1`
- Kind: `publication`
- Direction: `incoming`
- URL: <https://sina.bio/publication/depth-normalization-for-single-cell-genomics-count-data-25f4bfd9>

This publication contains this grounded claim.

> In contrast, sparse matrices have been used for high-performance computing for a long time (Orchard-Eays 1956; Markowitz 1957), and can drastically reduce the memory overhead required to perform memory-intensive computations.

Source: 2022-05-06-biorxiv-v1.pdf — <https://sina.bio/source/2022-05-06-biorxiv-v1-pdf>