gtx 870m

ASUS G750 will offer different configurations and prices ranging from € 1199 (about 9600 yuan) to € 2099 (about 16085 yuan). The lower version will be equipped with Intel Core I7-4700HQ processors, 4GB memory, NVIDIA gtx765m standalone graphics, and 750GB 7200 rpm drives. The mid-range model will use a stronger Nvidia GTX 770M graphics and hybrid storage (750 GB SATA hard drive +256 GB SSD). and the highest version has 32GB memory, Nvidia's fastest

performance test Project, The iOS version currently provides only a single core and multi-core performance test project for CPUs. CPU single-threaded and multithreaded performance comparisons First is the comparison of processor performance, the PC (Desktop + notebook) selected core i7-6800k (six cores 12 threads), Core i7-6700k (quad core Eight threads), Core i5-6500 (quad core four threads), core i3-6100 (dual core four threads) and core I7-6700HQ (quad core Eight threads), core I5-6200U (d

Raytheon St Pro is a high color value high-performance game, this machine not only equipped with GTX 1060 unique, but also the use of three metal fuselage, the appearance of fashion, dynamic. If you are interested in this machine, then may wish to take a look at today I bring you the St Pro appearance analysis. Hardware configuration Raytheon St Pro 10999 Yuan (mobile end 9999 yuan) Raytheon St Pro's Specific hardware confi

Dell's new version of Alienware 13 is an example of what it claims to be the world's first 13-inch Vr-ready notebook. The starting price for Alienware 13 is not high--at least for the brand--but 1200 dollars (about 8105 yuan). This cost allows you to get the Intel Core I5-6300HQ processor, NVIDIA GeForce GTX 1060 graphics, 8GB ddr4-2133 memory, 180GB m.2 SATA 6Gbps SSD, killer 802.11c Wi-Fi, Bluetooth 4.1 and Windows 10 64-bit systems.

October 26, is surface global listing four anniversary day, Microsoft chooses this day to convene surface new product launch, both pays homage, also has the inheritance. Today, Microsoft in New York released a new all-in-one surface Studio, a new generation of surface book, as well as the newly manipulated Accessories surface Dial series products. Fifth generation Surface Pro did not appear, the new Surface Book upgrade mainly in the processor, graphics and battery, so the first one of the surf

Dell Magazine 7000 Series Without cool, changeable breathing lights, Dell Magazine 7000 looks inconspicuous, but its built-in Intel i7 processor and GTX 960M graphics card can quickly run DOTA2 and other large games, 15.6-inch high-definition screen gives you insight into every detail, is a home trip to play DotA 2 of the necessary tool. The machine is now on the official website of Dell Selling, quote 5899 Yuan, interested players do not miss.

For PC gamers, game notebooks are an effective alternative to desktops, but relatively expensive, such as the famous Alienware Alien series. However, the recent digital Storm launched a Krypton game, providing a strong configuration and performance, while offering a price of only 2251 U.S. dollars (about 13880 yuan), including 17-inch 1080P screen, core I7–4810MQ processor, 16GB RAM, 256GB SSDD+750GB SATA Hard disk and GeForce GTX 880M graphics card (

selected through a cross validation set. No weight attenuation or dropout, because the model does not fit in either of these two rounds. For all the style conversion experiments we take relu2_2 layer to do content, relu1_2,relu2_2,relu3_3 and relu4_3 as style. VGG-16 Network, our experiment used torch and CUDNN, trained for about 4 hours on a GTX Titan X GPU. qualitative results: in Figure 6 we show comparisons of results, compare our demerit points

Getting started with http://www.cnblogs.com/Fancyboy2004/archive/2009/04/28/1445637.html cuda-GPU hardware architecture Here we will briefly introduce that NVIDIA currently supports Cuda GPU, Which is executing CudaProgram(Basically, its shader unit) architecture. The data here is a combination of the information posted by nvidia and the data provided by NVIDIA in various seminars and school courses. Therefore, there may be errors. Main data sources include NVIDIA's Cuda programming guide 1.1,

-core computer. Under normal circumstances, the error "unsupported GNU version! Gcc versions later than 4.9 are not supported !", The reason is that this cuda does not support gcc5.0 or above and runs on the terminal.Cd/usr/local/cuda-7.5/includeCp host_config.h host_config.h.bakSudo gedit host_config.hCtrl + F look for a place with "4.9", there should be only one place, above it# If _ GNUC _> 4 | (_ GNUC _ = 4 _ GNUC_MINOR _> 9) change two 4 to 5, save and exit, continueCd/home/gomei/NVIDIA_CU

. concurrentkernels)70 printf ("Yes! \ N ");71 else72 printf ("No! \ N ");73}7475} Running result: The Count of Cuda devices: 1 --- General information for device 0 ---Name of the Cuda device: geforce GTX 470Compute capability: 2.0Clock rate: 1215000Device copy overlap (simulataneously perform a cudamemcpy () and kernel execution): EnabledKernel execution timeout (whether there is a runtime limit for kernels executed on this device): Enabled --- Memor

PCI-E 30,000 Gigabit Ethernet product IP DevelopmentThis board card is based on the Virtex7 xc7v690t-1ffg1761i, the design of the PCIe Backplane, the board features are as follows:1, Standard PCI-E interface, support PCI-E 8x, support PCI-E 3.0.2, the standard FMC-HPC interface, the Vadj level is 1.8V.3, the front panel out of the 1-way SFP + optical module, the highest design speed of 10Gbps.4, the board behind the 2-way SFP + optical module, the highest design speed of 10Gbps.5, support two g

([Isinstance (X.op, t.elemwise) for x in F.maker.fgraph.toposort ()]):Print (' used the CPU ')ElsePrint (' used the GPU ') The above is done to do many times (10*30*768*1000) times exp calculation, with a tensor (Tensor) expressed. Compare the difference between CPU and GPU computing under My Computer Cpu:i7-4720hq [Elemwise{exp,no_inplace} (It took 55.188000 secondsUsed the CPU GPU (GTX 960M) [Gpuelemwise{exp,no_inpla

Image signal Processing Board of dual Tms320c6678+xilinx FPGA K7 xc7k420t based on 6U VPX The integrated image processing hardware platform includes 2 blocks of image signal Processing Board, 1 blocks of video processing board, 1 blocks of main control Board, 1 blocks of power Plate, and 1 blocks of VPX backplane.First, the Board of Cards overviewThe image signal Processing board includes 2-piece TI multicore DSP processor-tms320c6678,1 Chip Xilinx FPGA xc7k420t-1ffg1156,1 chip Xili

telecommunications industry, which is expanding support for Internet video and rich media content.The Virtex-6 FPGA family includes three application-oriented FPGA platforms optimized to provide different features and functional combinations to better meet the needs of different customer applications:Virtex-6 LXT fpga-optimized target applications require high-performance logic, DSP, and serial connectivity based on a low power GTX 6.5Gbps serial tra

little adaptability. GTX graphics drivers are as follows (Tesla version of the driver, please go to Nvidia's official website to download):：http://www.geforce.cn/drivers$ sudo sh./Nvidia-linux-x86_64-340.24.runSwitch to the directory where Cuda_6.5.11_rc_linux_64.run is located, and then execute the install command:$ sudo sh cuda_6.5.11_rc_linux_64.runAgain, the installation must be performed before the md5sum, I first installed is executed, found no

, occlusion query, floating point texture, all 9_1 Functions D3d_feature_9_3 NV geforcefx 6600, ATI radeon x1300 D3d9 hardware: sm2b, instancing, 4 K texture, MRT, floating point texture mixing, all 9_2 features must be supported D3d_feature_10_0 NV geforce 8800/GTX 280 D3d10 hardware: must support sm4, geometry shader, stream output, Alpha to coverage, msaa texture, double-sided stencer, texuture array, bc4/5,

chase:1. Network structure:This paper is mainly about image classification, for us to get a picture, we can quickly know what this picture, such as a cat, a chair. But for computers, how to classify images is a problem, and the computer knows a bunch of numbers 0 and 1. In order to achieve this goal, and the effect is good, it uses the model structure for short alexnetGenerally speaking :Alexnet a total of 8 layers, with more than 60M of the parameter amount.The first five layers are convolutio

/etc/profile3.1.2 Adding a Lib library pathIn /etc/ld.so.conf.d/ , add the file cuda.conf as follows:/usr/local/cuda-6.5/lib64Execute the following command to make it effective immediatelysudo ldconfig3.2 Installing Cuda SAMPLEInstall the following dependent packages firstInstall Freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev Libglu1-mesa-devThen install the sample file with the following commandsudo./cuda-samples-linux-6.5. 14-18745345.run Compile the sample file after completi

.) But the download time is a bit long. ）sudo apt-get install Cuda 3. After installation you need to set environment variables:$ export Path=/usr/local/cuda-6.5/bin:$PATH $ export Ld_library_path=/usr/local/cuda-6.5/ LIB64:$LD _library_path4. After Setup, you can also choose whether to install the sample code included with Cuda ($ cuda-install-samples-6.5.sh dir> CD ~/nvidia_cuda-6.5_samplesThen go to the Bin directory and run DevicequeryCD ~/nvidia_cuda-6.5_samples/./devicequeryIf the follow