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Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. As CPU cores become both faster and more numerous, the limiting factor for most programs is now, and will be for some time, memory access.

Unfortunately, neither the structure nor the cost of using the memory subsystem of a computer or the caches on CPUs is well understood by most programmers. Save to Library. Create Alert. Launch Research Feed. Share This Paper. Figures, Tables, and Topics from this paper. Figures and Tables. Citations Publications citing this paper.

Evaluation of system-level impacts of a persistent main memory architecture Taciano Perez Geography Liu Engineering Closing the circle of algorithmic and system-centric database optimization: a comprehensive survey on adaptive indexing, data partitioning, and the rewiring of virtual memory Felix Schuhknecht Computer Science A framework for group locality aware multithreading Sunil Shrestha Computer Science References Publications referenced by this paper.

Computers Eliot B. Controlling symbol ordering. Patterson Computer Science The 7 dwarves: debugging information beyond gdb. Revision History First internal draft.

Ulrich Drepper Wikipedia. Static random access memory. Related Papers. By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy , Terms of Service , and Dataset License.


What every programmer should know about memory, Part 1

Subscriptions are the lifeblood of LWN. If you appreciate this content and would like to see more of it, your subscription will help to ensure that LWN continues to thrive. Please visit this page to join up and keep LWN on the net. September 21, The original document prints out at over pages. We will be splitting it into about seven segments, each run weeks after its predecessor.


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By using our site, you acknowledge that you have read and understand our Cookie Policy , Privacy Policy , and our Terms of Service. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. Also I could not find a newer version than 1. As far as I remember Drepper's content describes fundamental concepts about memory: how CPU cache works, what are physical and virtual memory and how Linux kernel deals that zoo. Probably there are outdated API references in some examples, but it doesn't matter; that won't affect the relevance of the fundamental concepts.


"What every programmer should know about memory" - the PDF version

It's a page, KB download full of good information. Log in to post comments "What every programmer should know about memory" - the PDF version. Definition of "cache coherency". All processors are supposed to see the same memory content at all times. The maintenance of this uniform view of memory is called 'cache coherency'.

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