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Memory Performance: Cache Misses, False Sharing and NUMA
False Sharing Explained: Why Unrelated Variables Slow Each Other Down
Cache Issues -- False Sharing -- Mike Bailey, Oregon State University
Advanced Topics: False Sharing
False Sharing in 7 Minutes: When Independent Threads Collide
Parallel C++: False Sharing
False Sharing in Java
False Sharing: The Hardware Trap That Melts Multi-Core CPUs
False Sharing Explained Software Execution
The False Sharing Paradox: Why Struct Alignment Ruins Multi-Core Speed
Reduction And False Sharing
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Last Updated: October 17, 2026
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Summary
Why is my multi-threaded code slower than my single-threaded code? The answer might be Patreon ➤ patreon.com/jacobsorber Courses ➤ jacobsorber.thinkific.com Website ... Your multithreaded code looks perfect. No race conditions. No data corruption. But it still runs way slower than expected. Episode 9 of the Memory Lab: the seven ways memory makes a fast CPU wait, and how to measure them. Cache misses and the ... In this video we look at some benchmarks that show off Episode 5 of the Cache and NUMA Lab. Two threads that In this video we at the basics of You buy a 16-core CPU to scale your software, write lock-free code where threads never touch the same variables... and your ... Your threads aren't sharing data. But your CPU thinks they are. That's Discover why scaling your multi-threaded code across more CPU cores can actually make it run ten times slower. We dive deep ... This video introduces "reduction" approach for parallelizing many-to-1 type data parallel problems using basic constructs of ...