how to erase ssd

Sequent container: (vector)Erase not only invalidates all iterators pointing to the deleted element, but also invalidates all iterators after the deleted element. Therefore, the erase (ITER ++) method cannot be used, however, the returned value of erase is the next effective iterator. The correct method is ::For (iter = C. Begin (); iter! = C. End ();) Iter = C.

Correct use of the erase method of STL Map In the STL map table, an erase method is used to delete the command node from a map. Eg: Map Typedef Map ITER iter = maptest. Find (key ); Maptest. Erase (ITER ); As shown in the preceding figure, only deleting a single node does not cause task problems, However, when used in a loop, it is often misused b

Flash.There is a big difference between the life of NAND and NOR, the speed of block erase, the chance of error in data storage, and so on.The write operation of any flash device can only be done within an empty or erased unit, so in most cases the erase must be performed before the write operation. The erasure of NAND devices is straightforward, and nor does it require that all bits in the target block be

Sbulla # # CAT/PROC/MTD Dev:size erasesize Name mtd0:00080000 00004000 "Bootloader" mtd1:00180000 00004000 "params" mtd2:00200000 00004000 "Kernel" mtd3:01800000 00004000 "FileSystem1" mtd4:00400000 00004000 "FILESYSTEM2" # loadb 20000000(1) Nand erase 0x100000 0x200000(2) NAND write 0x20000000 0x100000 0x200000-//(3) NAND read 0x20000000 0x100000 0x200000-//(4) TFTP 0x80200000 (memory address) uimage Process from server to memory from insid

There are more and more people using STL. STL is indeed a set of beautiful algorithms and data structure libraries, but people who use STL at first often encounter many problems.Deleting an element from a container is a very common operation, but it is also a common mistake for beginners. The last time baosong found an error occurred when deleting the elements in map and list. vector is a very common container in STL. Compared with containers such as map and list, it is more troublesome to delet

One problem for users who want to equip their old Mac with a third-party SSD (SSD) is that the OS X system does not turn on TRIM support for Third-party SSDs. TRIM is a system-level command that allows the operating system to communicate with solid-state drives to determine which of the SSD is pleasing and not used, and is ready for erasure and replication. If th

http://blog.csdn.net/killmice/article/details/42745937 The test tool FIO is read sequentially as an example, with the following commands: fio-name IOPS-RW = Read-bs = 4k-runtime = 60-iodepth 32-filename/dev/sda6-ioengin E Libaio-direct = 1 where rw = read for random reads, BS = 4k for each read 4k, filename specifies the corresponding partition, here I am/dev/sda6, direct = 1 means the cache through Linux Test SATA Hard Drive, SAS hard drive, SSD har

Recently has been engaged in the object detection play, before using the FASTER-RCNN, the accuracy of 73.2%, the effect is good, but the recognition speed is a bit short, I use the GPU is gtx980ti, recognition speed is about 15fps. Recently discovered SSD ( Single shot Multibox detector) This paper has a good effect and speed, I have experimented with it, the speed is indeed much faster than FASTER-RCNN. The following is a two-part introduction. The f

MyISAM tables [1000000]--mysql-create-options=string additional options passed to create TABLE [] Sysbench test on SSD first:The MY.CNF configuration is as follows:[Client]Port= 3306Socket=/ssd/mysql5.5/mysql.sock[mysqld]Port= 3306Socket=/ssd/mysql5.5/mysql.sockdatadir=/ssd/mysql5.5/databack_log= 50Character-set-files

Because of work, sometimes two computers are needed to work, and most people engaged in development are those pursuing computer performance, so the laptop is naturally not light, not to mention the two. I have been suffering from two computers for more than half a year, and finally made up my mind to install a system into a mobile SSD, carrying a non-hard drive computer and adding two mobile SSDS to reduce the burden. After one day's exploration, many

Linux SSD optimization policy 1. do not use a file system with logs. If you have the ability, consider a file system that supports ssd, such as ubifs. If not, use ext2 www.2cto.com 2. disable noatime nodiratime of the file system, because the access time will increase ssd write, there is no need to modify/etc/fstab, for example, change/dev/hda9/data ext2 defaults

SSD Performance testSequential Write 16k ioPS 85061.08Sequential Write 8k ioPS 146250.93Sequential Write 4k ioPS 239816.69Sequential write 2k ioPS 294540.87Sequential Write 1k ioPS 347170.06Random Write 16k ioPS 21865.24Random Write 8k ioPS 26602.18Random Write 4k ioPS 34485.49Random write 2k ioPS 35115.20Random Write 1k ioPS 34913.40Sequential Read 16k ioPS 157199.17Sequential Read 8k ioPS 239133.22Sequential Read 4k ioPS 361864.16Sequential read 2k

Requirements: To match the left and right views, and then output the two disparity map (parallax map)e.g.Left view, right view (two images are the same size, only the perspective transform in the horizontal direction)The standard parallax map is as follows:　　SSD (sum of squared differences) implementations:　　　　　　1. Turn left and right view into CV_8UC1 single channel imageCan directly refer to the API implementation of OPENCV, write a three-channel av

+= + glog gflags protobuf boost_system boost_filesystem m HDF5_SERIAL_HL hdf5_serial　　"FIX: No get_image_size tool, hint get_image_size not found"　　 that's because you're using the original caffe and need to switch to the CAFFE-SSD branch :Method One:git clone https://github.com/weiliu89/caffe.gitcd caffe/git checkout SSD # Switch to branch SSDMethod Two:Download GitHub's Zip package directly: https://GITH