You are not logged in. Your edit will be placed in a queue until it is peer reviewed.
We welcome edits that make the post easier to understand and more valuable for readers. Because community members review edits, please try to make the post substantially better than how you found it, for example, by fixing grammar or adding additional resources and hyperlinks.
- Cool, thanks for references to Apple and Intel tech. Is your answer pointing out challenges of managing thread to core affinity? Some cache performance problems are eased because multicore processors may repeat L1 caches per core? For example: software.intel.com/en-us/articles/… High speed cache for four cores with more cache hits can be more than 4x as fast as one core with more cache misses on the same data. Matrix multiplication can. Random scheduling of 32 threads on 4 cores can't. Let's use affinity and get 32 cores.DeveloperDon– DeveloperDon2012-08-20 17:51:39 +00:00Commented Aug 20, 2012 at 17:51
- not really though its the same problem - core affinity just refers to the problem where a task is bounced from core to core. Its the same issue if a task is interrupted, replaced with a new one, then the original task continues on the same core. Intel's saying there: cache hits = fast, cache misses = slow, regardless of the number of cores. I think they're trying to persuade you to buy their chips rather than AMDs :)gbjbaanb– gbjbaanb2012-08-20 18:01:43 +00:00Commented Aug 20, 2012 at 18:01
Add a comment |
How to Edit
- Correct minor typos or mistakes
- Clarify meaning without changing it
- Add related resources or links
- Always respect the author’s intent
- Don’t use edits to reply to the author
How to Format
- create code fences with backticks ` or tildes ~ ```
like so
``` - add language identifier to highlight code ```python
def function(foo):
print(foo)
``` - put returns between paragraphs
- for linebreak add 2 spaces at end
- _italic_ or **bold**
- indent code by 4 spaces
- backtick escapes
`like _so_` - quote by placing > at start of line
- to make links (use https whenever possible) <https://example.com>[example](https://example.com)<a href="https://example.com">example</a>
How to Tag
A tag is a keyword or label that categorizes your question with other, similar questions. Choose one or more (up to 5) tags that will help answerers to find and interpret your question.
- complete the sentence: my question is about...
- use tags that describe things or concepts that are essential, not incidental to your question
- favor using existing popular tags
- read the descriptions that appear below the tag
If your question is primarily about a topic for which you can't find a tag:
- combine multiple words into single-words with hyphens (e.g. design-patterns), up to a maximum of 35 characters
- creating new tags is a privilege; if you can't yet create a tag you need, then post this question without it, then ask the community to create it for you