branch-prediction

What branch misprediction does the Branch Target Buffer detect?

不羁岁月 提交于 2019-11-28 23:45:32
I am currently looking at the various parts of the CPU pipeline which can detect branch mispredictions. I have found these are: Branch Target Buffer (BPU CLEAR) Branch Address Calculator (BA CLEAR) Jump Execution Unit (not sure of the signal name here??) I know what 2 and 3 detect, but I do not understand what misprediction is detected within the BTB. The BAC detects where the BTB has erroneously predicted a branch for a non-branch instruction, where the BTB has failed to detect a branch, or the BTB has mispredicted the target address for a x86 RET instruction. The execution unit evaluates the

How can I make branchless code?

谁说我不能喝 提交于 2019-11-28 20:09:42
问题 Related to this answer: https://stackoverflow.com/a/11227902/4714970 In the above answer, it's mentioned how you can avoid branch prediction fails by avoiding branches. The user demonstrates this by replacing: if (data[c] >= 128) { sum += data[c]; } With: int t = (data[c] - 128) >> 31; sum += ~t & data[c]; How are these two equivalent (for the specific data set, not strictly equivalent)? What are some general ways I can do similar things in similar situations? Would it always be by using >>

When should streams be preferred over traditional loops for best performance? Do streams take advantage of branch-prediction?

折月煮酒 提交于 2019-11-28 19:06:54
I just read about Branch-Prediction and wanted to try how this works with Java 8 Streams. However the performance with Streams is always turning out to be worse than traditional loops. int totalSize = 32768; int filterValue = 1280; int[] array = new int[totalSize]; Random rnd = new Random(0); int loopCount = 10000; for (int i = 0; i < totalSize; i++) { // array[i] = rnd.nextInt() % 2560; // Unsorted Data array[i] = i; // Sorted Data } long start = System.nanoTime(); long sum = 0; for (int j = 0; j < loopCount; j++) { for (int c = 0; c < totalSize; ++c) { sum += array[c] >= filterValue ? array

Conditional jump instructions in MSROM procedures?

前提是你 提交于 2019-11-28 14:04:49
This relates to this question Thinking about it though, on a modern intel CPU the SEC phase is implemented in microcode meaning there would be a check whereby a burned in key is used to verify the signature on the PEI ACM. If it doesn't match then it needs to do something, if it does match it needs to do something else. Given this is implemented as an MSROM procedure there must be a way of branching but given that the MSROM instructions do not have RIPs. Usually, when a branch mispredicts as being taken then when the instruction retires, the ROB will check the exception code and hence add the

What is the effect of ordering if…else if statements by probability?

北战南征 提交于 2019-11-28 03:21:28
Specifically, if I have a series of if ... else if statements, and I somehow know beforehand the relative probability that each statement will evaluate to true , how much difference in execution time does it make to sort them in order of probability? For example, should I prefer this: if (highly_likely) //do something else if (somewhat_likely) //do something else if (unlikely) //do something to this?: if (unlikely) //do something else if (somewhat_likely) //do something else if (highly_likely) //do something It seems obvious that the sorted version would be faster, however for readability or

Indexed branch overhead on X86 64 bit mode

…衆ロ難τιáo~ 提交于 2019-11-28 02:11:09
This is a follow up to some comments made in this prior thread: Recursive fibonacci Assembly The following code snippets calculate Fibonacci, the first example with a loop, the second example with a computed jump (indexed branch) into an unfolded loop. This was tested using Visual Studio 2015 Desktop Express on Windows 7 Pro 64 bit mode with an Intel 3770K 3.5ghz processor. With a single loop testing fib(0) thru fib(93), the best time I get for loop version is ~1.901 microseconds, and for computed jump is ~ 1.324 microseconds. Using an outer loop to repeat this process 1,048,576 times, the

Portable branch prediction hints

随声附和 提交于 2019-11-27 18:44:26
Is there any portable way of doing branch prediction hints? Consider the following example: if (unlikely_condition) { /* ..A.. */ } else { /* ..B.. */ } Is this any different than doing: if (!unlikely_condition) { /* ..B.. */ } else { /* ..A.. */ } Or is the only way to use compiler specific hints? (e.g. __builtin_expect on GCC) Will compilers treat the if conditions any differently based on the ordering of the conditions? The canonical way to do static branch prediction is that if is predicted not-branched (i.e. every if clause is executed, not else ), and loops and backward- goto s are taken

What branch misprediction does the Branch Target Buffer detect?

我是研究僧i 提交于 2019-11-27 15:00:21
问题 I am currently looking at the various parts of the CPU pipeline which can detect branch mispredictions. I have found these are: Branch Target Buffer (BPU CLEAR) Branch Address Calculator (BA CLEAR) Jump Execution Unit (not sure of the signal name here??) I know what 2 and 3 detect, but I do not understand what misprediction is detected within the BTB. The BAC detects where the BTB has erroneously predicted a branch for a non-branch instruction, where the BTB has failed to detect a branch, or

What exactly happens when a skylake CPU mispredicts a branch?

白昼怎懂夜的黑 提交于 2019-11-27 07:07:29
问题 I'm trying to understand in detail what happens to instructions in the various stages of the skylake CPU pipeline when a branch is mis-predicted, and how quickly instructions from the correct branch destination can start executing. So lets label the two code paths here as red (the one predicted, but not actually taken) and green (the one taken, but not predicted). So questions are: 1. How far through the pipeline does the branch have to get before red instructions start being discarded (and

Indexed branch overhead on X86 64 bit mode

怎甘沉沦 提交于 2019-11-27 04:52:57
问题 This question was migrated from Computer Science Stack Exchange because it can be answered on Stack Overflow. Migrated 2 years ago . This is a follow up to some comments made in this prior thread: Recursive fibonacci Assembly The following code snippets calculate Fibonacci, the first example with a loop, the second example with a computed jump (indexed branch) into an unfolded loop. This was tested using Visual Studio 2015 Desktop Express on Windows 7 Pro 64 bit mode with an Intel 3770K 3