prefetch

问题 Preload and prefetch are both used to request resources in advance so that later resource loading can be quick. It seems that I can interchange the two <link rel="preload" href="foo.js" as="script"> <link rel="prefetch" href="foo.js"> without noticing anything difference. What are their differences? 回答1: Addy Osmani wrote an article that goes into the details of this, but the short version is: preload is a declarative fetch, allowing you to force the browser to make a request for a resource

问题 CPU's use branch prediction to speed up code, but only if the first branch is actually taken. Why not simply take both branches? That is, assume both branches will be hit, cache both sides, and the take the proper one when necessary. The cache does not need to be invalidated. While this requires the compiler to load both branches before hand(more memory, proper layout, etc), I imagine that proper optimization could streamline both so that one can get near optimal results from a single

问题 I have an object of 64 byte in size: typedef struct _object{ int value; char pad[60]; } object; in main I am initializing array of object: volatile object * array; int arr_size = 1000000; array = (object *) malloc(arr_size * sizeof(object)); for(int i=0; i < arr_size; i++){ array[i].value = 1; _mm_clflush(&array[i]); } _mm_mfence(); Then loop again through each element. This is the loop I am counting events for: int tmp; for(int i=0; i < arr_size-105; i++){ array[i].value = 2; //tmp = array[i

问题 Let's say I have following models class Foo(models.Model): ... class Prop(models.Model): ... class Bar(models.Model): foo: models.ForeignKey(Foo, related_name='bars', ...) prop: models.ForeignKey(Prop, ...) Now I want to make the following query. foos = Foo.objects.prefetch_related('bars__prop').all() Does the above query makes 3 Database calls or only 2 (select_related for prop from bar ), given that only one prop is associated with bar If it takes 3 calls then, is there a way to make it 2

问题 My code used to work on tensorflow 0.6, but it no longer works on the lastest tensorflow. I would like to perform inference every few training iterations. My training data is pulled from a queue, my inference data is from feed_dict. The training batch size is 128 while the inference batch size is 1. What Should I do to make the network accept the two different batch sizes? batch_size = 128 x_batch = tf.placeholder("float", [None, 100]) q = tf.FIFOQueue(10, [tf.float32], shapes=[[batch_size,

问题 I have started to load a few key resources and pages using the prefetch/prerender system. Is there a way to ensure that the resources in question are actually being preloaded? 回答1: Google recommends using the Page Visibility API to test if a page is being prerendered. I'm not sure how well it works cross-browser (but what does in HTML5). 回答2: You can also use prerender-test.appspot.com to test that your site works correctly under prerendering. Further, from within Chrome, you can go to chrome

问题 I have been investigating the windows Prefetching system hoping to find a way to speed up the load time of an application I am working on. I found the following link where a developer describes modifications to the prefetcher registry values: http://dotnet.dzone.com/news/improving-cold-startup I have made similar modifications locally and found that they do provide faster application loading times. My problem is that I cannot find any documentation on the registry values that were changed and

问题 I am building a simple tool that tracks and increases the number of visits of a website. It's something simple as: When the server receives a GET request, it will increase the counter in database for that website by 1. However, I am running to a bit problem with Google Chrome's pre-render engine ("Predict network actions to improve page load performance"). The website is www.domain.com, and as soon as you type the domain name www.domain.com into the browser's address bar (without pressing

问题 I'm having a hard time figuring out how to display a list of objects using typeahead with a json file as the source. None of my data is being displayed. I want to list the names, and use the other attributes for other things when selected. ../data/test.json [ {"name": "John Snow", "id": 1}, {"name": "Joe Biden", "id": 2}, {"name": "Bob Marley", "id": 3}, {"name": "Anne Hathaway", "id": 4}, {"name": "Jacob deGrom", "id": 5} ] test.js $(document).ready(function() { var names = new Bloodhound({

问题 I am reading about different prefetcher available in Intel Core i7 system. I have performed experiments to understand when these prefetchers are invoked. These are my findings L1 IP prefetchers starts prefetching after 3 cache misses. It only prefetch on cache hit. L2 Adjacent line prefetcher starts prefetching after 1st cache miss and prefetch on cache miss. L2 H/W (stride) prefetcher starts prefetching after 1st cache miss and prefetch on cache hit. I am not able to understand the behavior