cpu-cache

Cycles/cost for L1 Cache hit vs. Register on x86?

隐身守侯 提交于 2019-11-27 09:53:24
问题 I remember assuming that an L1 cache hit is 1 cycle (i.e. identical to register access time) in my architecture class, but is that actually true on modern x86 processors? How many cycles does an L1 cache hit take? How does it compare to register access? 回答1: Here's a great article on the subject: http://arstechnica.com/gadgets/reviews/2002/07/caching.ars/1 To answer your question - yes, a cache hit has approximately the same cost as a register access. And of course a cache miss is quite

What is locality of reference?

人盡茶涼 提交于 2019-11-27 09:52:30
问题 I am having problem in understanding locality of reference. Can anyone please help me out in understanding what it means and what is, Spatial Locality of reference Temporal Locality of reference 回答1: This would not matter if your computer was filled with super-fast memory. But unfortunately that's not the case and computer-memory looks something like this 1 : +----------+ | CPU | <<-- Our beloved CPU, superfast and always hungry for more data. +----------+ |L1 - Cache| <<-- works at 100% of

What's the difference between conflict miss and capacity miss

流过昼夜 提交于 2019-11-27 09:26:17
问题 Capacity miss occurs because blocks are being discarded from cache because cache cannot contain all blocks needed for program execution (program working set is much larger than cache capacity). Conflict miss occurs in the case of set associative or direct mapped block placement strategies, conflict misses occur when several blocks are mapped to the same set or block frame; also called collision misses or interference misses. Are they actually very closely related? For example, if all the

Understanding CPU cache and cache line

时间秒杀一切 提交于 2019-11-27 09:26:10
问题 I am trying to understand how CPU cache is operating. Lets say we have this configuration (as an example). Cache size 1024 bytes Cache line 32 bytes 1024/32 = 32 cache lines all together. Singel cache line can store 32/4 = 8 ints. 1) According to these configuration length of tag should be 32-5=27 bits, and size of index 5 bits (2^5 = 32 addresses for each byte in cache line). If total cache size is 1024 and there are 32 cache lines, where is tags+indexes are stored? (There is another 4*32 =

Can I force cache coherency on a multicore x86 CPU?

浪子不回头ぞ 提交于 2019-11-27 06:19:33
The other week, I wrote a little thread class and a one-way message pipe to allow communication between threads (two pipes per thread, obviously, for bidirectional communication). Everything worked fine on my Athlon 64 X2, but I was wondering if I'd run into any problems if both threads were looking at the same variable and the local cached value for this variable on each core was out of sync. I know the volatile keyword will force a variable to refresh from memory, but is there a way on multicore x86 processors to force the caches of all cores to synchronize? Is this something I need to worry

Cache size estimation on your system?

微笑、不失礼 提交于 2019-11-27 05:07:12
I got this program from this link ( https://gist.github.com/jiewmeng/3787223).I have been searching the web with the idea of gaining a better understanding of processor caches (L1 and L2).I want to be able to write a program that would enable me to guess the size of L1 and L2 cache on my new Laptop.(just for learning purpose.I know I could check the spec.) #include <stdio.h> #include <stdlib.h> #include <time.h> #define KB 1024 #define MB 1024 * 1024 int main() { unsigned int steps = 256 * 1024 * 1024; static int arr[4 * 1024 * 1024]; int lengthMod; unsigned int i; double timeTaken; clock_t

simplest tool to measure C program cache hit/miss and cpu time in linux?

佐手、 提交于 2019-11-27 02:47:59
I'm writing a small program in C, and I want to measure it's performance. I want to see how much time do it run in the processor and how many cache hit+misses has it made. Information about context switches and memory usage would be nice to have too. The program takes less than a second to execute. I like the information of /proc/[pid]/stat, but I don't know how to see it after the program has died/been killed. Any ideas? EDIT: I think Valgrind adds a lot of overhead. That's why I wanted a simple tool, like /proc/[pid]/stat, that is always there. Use perf : perf stat ./yourapp See the kernel

Globally Invisible load instructions

Deadly 提交于 2019-11-27 02:12:11
Can some of the load instructions be never globally visible due to store load forwarding ? To put it another way, if a load instruction gets its value from the store buffer, it never has to read from the cache. As it is generally stated that a load is globally visible when it reads from the L1D cache, the ones that do not read from the L1D should make it globally invisible. The concept of global visibility for loads is tricky, because a load doesn't modify the global state of memory, and other threads can't directly observe it. But once the dust settles after out-of-order / speculative

Does a memory barrier ensure that the cache coherence has been completed?

邮差的信 提交于 2019-11-26 19:25:31
问题 Say I have two threads that manipulate the global variable x . Each thread (or each core I suppose) will have a cached copy of x . Now say that Thread A executes the following instructions: set x to 5 some other instruction Now when set x to 5 is executed, the cached value of x will be set to 5 , this will cause the cache coherence protocol to act and update the caches of the other cores with the new value of x . Now my question is: when x is actually set to 5 in Thread A 's cache, do the

How does one write code that best utilizes the CPU cache to improve performance?

天涯浪子 提交于 2019-11-26 19:10:47
This could sound like a subjective question, but what I am looking for are specific instances, which you could have encountered related to this. How to make code, cache effective/cache friendly (more cache hits, as few cache misses as possible)? From both perspectives, data cache & program cache (instruction cache), i.e. what things in one's code, related to data structures and code constructs, should one take care of to make it cache effective. Are there any particular data structures one must use/avoid, or is there a particular way of accessing the members of that structure etc... to make