I have 开发者_JAVA百科an application written in C++ that someone else has written in a way that\'s supposed to maximally take advantage of cpu caches.This application runs on a guest Ubuntu OS that is
suppose I\'m writing to a RAM location on a Core Duo system through L1/L2 cache. Suppose I am going开发者_如何学Python to write to a persistent location in RAM and panic Linux kernel soon after that.
Assuming a LUT of say 512KB of 64-bit double types. Generally speaking, how does the CPU cache the structure in L1 or L2?
Can anyone give me the approximate time (in nanoseconds) to access L1, L2 and L3 caches, as well as main memory on开发者_如何学Python Intel i7 processors?
A direct mapped cache consists of 16 blocks.main memory contains 16K blocks of 8 bytes each.What is the main memory address format (meaning the size of each field).
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All the .net profilers I know don’t take into the account the effect of the CPU cache. Given that reading a field from the CPU cache can be 100 faster than reading it from main memory, it can be a bi
I have two ways to program the same functionality. Method 1: doTheWork(int action) { for(int i = 0 i < 1000000000; ++i)
There is something that bugs me with the Java memory model (if i even understand everything correctly). If there are two threads A and B, there are no guarantees that B will ever see a value written b
How can I programmatically m开发者_C百科easure (not query the OS) the size and order of associativity of L1 and L2 caches (data caches)?
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