首页 > 代码库 > a possible low-level optimization
a possible low-level optimization
http://www.1point3acres.com/bbs/thread-212960-1-1.html
第二轮白人小哥,一开始问了一道至今不懂的问题,好像是给一个vector<uint8_t> nums, 然后又给一个256位的vector<int> counts,遍历nums,然后counts[nums]++,问如何进行优化,提示说要用到CPU cache之类的东西(完全不知道)。小白哥见我懵逼,后来又给了一道3sum,迅速做出。
uint8_t input[102400];uint32_t count[256];void count_it(){ for (int i = 0; i < sizeof(input) / sizeof(input[0]); i++) { ++count[input[i]]; }}
how to optimize? possible points to consider:
a) target "count" array size is 4B*256=1KB, which can fit into L1 cache, so no need to worry about that;
b) input array access is sequential, which is actually cache friendly;
c) update to "count" could have false sharing, but given it‘s all in L1 cache, that‘s fine;
d) optimization 1: the loop could be unrolled to reduce loop check;
e) optimization 2: input array could be pre-fetched (i.e. insert PREFETCH instructions beforehand);
for (int i = 0; i < sizeof(input) / sizeof(input[0]);) { // typical cache size is 64 bytes __builtin_prefetch(&input[i+64], 0, 3); // prefetch for read, high locality for (int j = 0; j < 8; j++) { int k = i + j * 8; ++count[input[k]]; ++count[input[k+1]]; ++count[input[k+2]]; ++count[input[k+3]]; ++count[input[k+4]]; ++count[input[k+5]]; ++count[input[k+6]]; ++count[input[k+7]]; } i += 64; }
(see https://gcc.gnu.org/onlinedocs/gcc-5.4.0/gcc/Other-Builtins.html for __builtin_prefetch)
f) optimization 3: multi-threading, but need to use lock instruction when incrementing the count;
g) optimization 4: vector extension CPU instructions: "gather" instruction to load sparse locations (count[xxx]) to a zmmx register (512bit, 64byte i.e. 16 integers), then it can process 16 input uchar8_t in one go; then add a constant 512bit integer which adds 1 to each integer. corresponding "scatter" instruction will store back the updated count.
第二轮白人小哥,一开始问了一道至今不懂的问题,好像是给一个vector<uint8_t> nums, 然后又给一个256位的vector<int> counts,遍历nums,然后counts[nums]++,问如何进行优化,提示说要用到CPU cache之类的东西(完全不知道)。小白哥见我懵逼,后来又给了一道3sum,迅速做出。
a possible low-level optimization