performance

Scala: Mutable vs. Immutable Object Performance - OutOfMemoryError

故事扮演 提交于 2021-02-17 21:23:07
问题 I wanted to compare the performance characteristics of immutable.Map and mutable.Map in Scala for a similar operation (namely, merging many maps into a single one. See this question). I have what appear to be similar implementations for both mutable and immutable maps (see below). As a test, I generated a List containing 1,000,000 single-item Map[Int, Int] and passed this list into the functions I was testing. With sufficient memory, the results were unsurprising: ~1200ms for mutable.Map,

Core data taking time to insert records with fetching entity & set as relationship

百般思念 提交于 2021-02-17 06:20:27
问题 I have 2 entities: Components & SurveyReadingWeb that have a one-to-many relationship. I have saved Components data in core data database; but while saving SurveyReadingWeb -- in a for loop -- I have to fetch Components data entity by passing component id and setting the surveyreadings isComponentexists relationship, like in the code below for 8000 records. This process is taking too much time, nearly 7 minutes. How can I reduce the time? for item in items { autoIncrementId = autoIncrementId

Elimante render-blocking resources

橙三吉。 提交于 2021-02-17 05:53:27
问题 I'm trying to optimalize web for speed and wanna ask about Eliminating render-blocking CSS and JS. by JS 'm only using async attr. - lets say, throwin' it at plugins like flexslider, lightbox.. but should I also use this with the base scripts like ?: <script src="https://cdnjs.cloudflare.com/.../4.5.3/js/bootstrap.min.js" async></script> <script src="js/script.js" async></script> Whenever i add async on some script and test it, that .js script won't just operate - as if not linked. What am I

Two loops performance difference. Swapping inner and outer loop

我的未来我决定 提交于 2021-02-17 03:45:13
问题 I had two loops (one nested in the other one) and I was wondering if there is any difference in how I nest these loops. Results of Code 1 and Code 2 are the same (100,000x4 = 4x100,000 = 400,000) but jsPerf shows that Code 2 is roughly 50% faster than Code 1. I'd like to kindly ask for your advice, I don't understand the difference between the two. Thank you very much. var tt = function () { // do some stuff // for example: return (3); }; Test code 1: for (var i = 0; i < 100000; i++) { for

Two loops performance difference. Swapping inner and outer loop

徘徊边缘 提交于 2021-02-17 03:44:22
问题 I had two loops (one nested in the other one) and I was wondering if there is any difference in how I nest these loops. Results of Code 1 and Code 2 are the same (100,000x4 = 4x100,000 = 400,000) but jsPerf shows that Code 2 is roughly 50% faster than Code 1. I'd like to kindly ask for your advice, I don't understand the difference between the two. Thank you very much. var tt = function () { // do some stuff // for example: return (3); }; Test code 1: for (var i = 0; i < 100000; i++) { for

x86 MESI invalidate cache line latency issue

生来就可爱ヽ(ⅴ<●) 提交于 2021-02-17 02:00:32
问题 I have the following processes , I try to make ProcessB very low latency so I use tight loop all the time and isolate cpu core 2 . global var in shared memory : int bDOIT ; typedef struct XYZ_ { int field1 ; int field2 ; ..... int field20; } XYZ; XYZ glbXYZ ; static void escape(void* p) { asm volatile("" : : "g"(p) : "memory"); } ProcessA (in core 1 ) while(1){ nonblocking_recv(fd,&iret); if( errno == EAGAIN) continue ; if( iret == 1 ) bDOIT = 1 ; else bDOIT = 0 ; } // while ProcessB ( in

How to create a java OutputStream for an S3 object and write value to it?

做~自己de王妃 提交于 2021-02-16 19:57:07
问题 Existing ways of adding content to an S3 file using methods in AmazonS3 class are by putObject with an InputStream Creating a local file with content and uploading it to S3. Is there a way an OutputStream can be created for an existing S3 object to which values from a list can be written into? I see there are no APIs for doing so. 回答1: It's possible to create an S3OutputStream which wraps the AmazonS3 client. See this gist for the implementation: https://gist.github.com/blagerweij

Calculating average time for a memory access

戏子无情 提交于 2021-02-16 19:19:38
问题 I find it hard to understand the differences between the local and global miss rate and how to calculate the average time for a memory access and would just like to give an example of a problem that I have tried to solve. I would appreciate if someone could tell me if I'm on the right track, or if I'm wrong what I have missed. Consider the following multilevel cache hierarchy with their seek times and miss rates: L1-cache, 0.5 ns, 20% L2-cache, 1.8 ns, 5% L3-cache, 4.2 ns, 1.5% Main memory,

Java Performance: multiple array vs single array of custom object [closed]

允我心安 提交于 2021-02-16 15:37:18
问题 Closed . This question is opinion-based. It is not currently accepting answers. Want to improve this question? Update the question so it can be answered with facts and citations by editing this post. Closed 5 years ago . Improve this question What's the best performance of these two different code solution: class Meme { private int[] a = new int[100]; private int[] b = new int[100]; private int[] c = new int[100]; } vs class Meme { private MemeProp[] prop = new MemeProp[100]; class MemeProp {

C# Merging Two or more Text Files side by side

∥☆過路亽.° 提交于 2021-02-16 14:50:24
问题 using (StreamWriter writer = File.CreateText(FinishedFile)) { int lineNum = 0; while (lineNum < FilesLineCount.Min()) { for (int i = 0; i <= FilesToMerge.Count() - 1; i++) { if (i != FilesToMerge.Count() - 1) { var CurrentFile = File.ReadLines(FilesToMerge[i]).Skip(lineNum).Take(1); string CurrentLine = string.Join("", CurrentFile); writer.Write(CurrentLine + ","); } else { var CurrentFile = File.ReadLines(FilesToMerge[i]).Skip(lineNum).Take(1); string CurrentLine = string.Join("",