overhead paging

mostly used unity4.x version, the native UI is too difficult to use, multi-use Ngui and other plug-ins. The following is a main introduction to unity in the use of Ngui to achieve the head of the person's hanging pieces.Ngui implementation of overhead objects can be divided into two ways according to the rendering of the camera: (1) The rendering of the scene of the Maincamera to render overhead objects, s

256 MB DDR RAM !) IPad 2: 1 GHz dual-core Apple A5 chip, 512 MB DDR2 Ram Among them, iPad 1 and iPhone 4 have the same processor. After Apple uses its own chip, we can see a significant improvement in performance, the locking A4 is twice faster than the previous Cortex-A8 + powervr SGC 535 GPUTest Data 1024x768 resolution, 90% Compression Quality JPEG image from loading, decompression to rendering time: IPhone 3G: 527 MS IPhone 3gs: 134 MS IPad: 79 MS IPhone 4: 70 MS IPad 2: 51 MS It i

Use _ slots _ in Python to cache resources to save memory overhead _ We once mentioned how the Python web server of Oyster.com uses a huge Python dicts (hash table) to cache a large amount of static resources. Recently, in the Image class, we used only one line of _ slots _ code to save more than 2 GB of service processes (4 in total) occupied by 6 GB of memory. This is one of the servers before and after the deployment code: Alloc has approximately

the copied values. BesidesThe kernel invokes its own internal method and uses the kernel-mode stack to pass its own arguments, store the local variables of the function, and store the return address. On 32-bit WindowsAt run time, the kernel-mode stack size is 12KB, while running on 64-bit Windows, the size is 24KB.DLL thread connection (attach) and thread detach (detach) notificationsOne of the policies of Windows is that any time a thread is created in the process, it invokes the DllMain metho

This article mainly introduces how to use _ slots _ in Python to save memory overhead by caching resources, and the sample code is very simple, for more information, see how the Python web server of Oyster.com uses a huge Python dicts (hash table) to cache a large amount of static resources. Recently, in the Image class, we used only one line of _ slots _ code to save more than 2 GB of service processes (4 in total) occupied by 6 GB of memory. This i

:54.717. 454Second, while loop:DECLARE @MAXID INTSELECT @MAXID = MAX (ID) from TestSELECT GETDATE ()DECLARE @ID INTDECLARE @Value INTSET @ID = 1SET @Value = 0While @ID BEGINIF EXISTS (Select ID from test WHERE ID = @ID)BEGINSelect @Value = (@Value + Value) from test WHERE ID = @IDENDSET @ID = @ID + 1ENDSELECT GETDATE ()Performed three times:1.2011-03-24 23:12:01.717, 2011-03-24 23:12:02.043. 3262.2011-03-24 23:13:15.390, 2011-03-24 23:13:15.717. 3273.2011-03-24 23:13:45.560, 2011-03-24 23:13:45.

Recently developed with the fuse file system, the file system is implemented in the user-state, but its filesystem operation interface must be registered in the kernel state, so it is necessary to study the kernel state to the user state overhead.The following example is seen on StackOverflow, which basically reflects the difference in overhead:In Linux testing this test program, GETUID is a system call that returns the ID of the current user1 #include 23#define MAX 1000000004int Main () {5 i

Wireshark basic usage and overhead rulesWireshark basic syntax, basic usage, and packet forwarding rules:1. Filter IP addresses. For example, the source IP address or target IP address is equal to an IP address.Example: ip. src eq 192.168.1.107 or ip. dst eq 192.168.1.107 or ip. addr eq 192.168.1.107 // both the source IP address and target IP address are displayed. The wireshark graph window example running on linux is similar to other excessive rule

smon_scn_time after the database is started and will never releaseThe root cause is inconsistent tables and indexes. Each delete record is 0, so the delete operation persists, in order to ensure that the record in the table is less thanThe maximum mapping range value.With the partitioning, OLAP and Data Mining options[Email protected] adump]$ sqlplus "/as sysdba"Sql*plus:release 10.2.0.3.0-production on Wed Jul 15 09:25:26 2015Copyright (c) 1982, 2006, Oracle. All rights Reserved.Connected to:O

rivate file input;public digestthread (file Inpu T) {this.input=input;} ----------overwrite the Run () method----------public void Run () {try {fileinputstream in=new fileinputstream (input); MessageDigest sha=messagedigest.getinstance ("Sha");D Igestinputstream din=new digestinputstream (in, SHA); int B;while ((B=din.read ())!=-1);//constantly reading din.close (); byte[] Digest=sha.digest ();//using a character buffer cache StringBuffer Res=new StringBuffer ( Input.tostring ()); Res.append ("

During the import of the project history data, there was a situation where the app could not be accessed. Immediately analysis of WebLogic, found that WebLogic memory, thread and other performance good, the server is running state. The WebLogic log is then viewed and the following error is found in the logBy troubleshooting the problem, the reason for this kind of problem is that a module of the project in bulk import data, the program needs new a large object, the GC found that the memory is no

PS use filter to pull out the most beautiful coastal city overhead photos Animated scenes are hand-painted, in turn this effect, to use a filter, such as the usual scenery picture into a similar hand-painted effect, and then color, handle good local light and shade, and add some decorations can. Final effect Original First, find a beautiful picture of the scenery, beautiful beach. Second, open PS do effect put the picture in and th

This is the new type of error that JDK6 adds.This error is reported when the JVM's GC behavior exceeds more than 98% of the time to release the heap space less than 2%. Occurs when a GC takes up a lot of time to release a small amount of space and is a protective mechanism. The solution is to turn off the feature and use the ——-xx:-usegcoverheadlimit Here to see if there is a code that uses large memory or a dead loop. Sun official explained: The Parallel/concurrent collector would throw a out

Recently, when upgrading a framework, it was found that the GC overhead limit exceeded error occurred at some point in time for a streaming computation program. This problem is certainly not enough memory, but the initial set of memory is enough ah, so a variety of memory optimization, such as the definition of the variable in the loop outside the body control, but found that only the interval of time to push back a bit. Still did not find the c

25.2 thread overhead. Thread overhead The thread is very powerful because it allows WindowsProgramA long-running task can also be executed in a timely manner. In addition, the thread allows the user to use an application (such as the "Task Manager") to forcibly terminate an application that appears to have been frozen. However, like all virtualization mechanisms, threads consume space (memory consumpti

, at this point, streamed from SalesOrderDetail directly into MyTable. rather, it is streamed from SalesOrderDetail into the Parameter Table. and the Parameter Table, as it turns out, is in actuality a hidden temporary table. and not until all of the data has streamed into that hidden temporary table is control resumed by the EXEC context, and only then does the data start moving into its final home. The natural question you might be asking yourself at this point is, just how much

Eclipse: An internal error occurred during: "Build Project". GC overhead limit exceeded, overheadexceeded When using the Eclipse Build Project function, the following error is prompted:An internal error occurred during: "Build Project". GC overhead limit exceeded The search result belongs to java. lang. OutOfMemoryError.As we all know, the JVM memory overflows. What about GC

? Here's where things start really diverging. data is not, at this point, streamed from SalesOrderDetail directly into MyTable. rather, it is streamed from SalesOrderDetail into the Parameter Table. and the Parameter Table, as it turns out, is in actuality a hidden temporary table. and not until all of the data has streamed into that hidden temporary table is control resumed by the EXEC context, and only then does the data start moving into its final home. The natural question you might be askin

Description of overhead in phpmyadmin nbsp; in phpmyadmin, if there is a column in The myisam table, phpmyadmin displays overhead, nbsp; in fact, when the data in the table is deleted, some space will be retained and will not be released, which will be used for new records. it is recommended that when the value is too large, what should I see in phpmyadmin about overh