terça-feira, 25 de abril de 2017

Drivers Identificador

http://devid.info/

Drivers for all

https://pt.driverscollection.com/

sábado, 28 de janeiro de 2017

Adicionar "Nova Guia" ao Chrome browser

1 - botão direito no ícone do Chrome na barra de tarefas (vai abrir um sub menu suspenso);
2 - botão direito no ícone "Google Chrome" (vai abrir um menu;

3 - botão esquerdo na opção "Propriedades;
4 - na aba "Atalho" preencha o campo com o diretório do sistema e do Chrome("[diretório do sistema]:\[diretório padrão dos apps]\Google\Chrome\Application\chrome.exe" chrome://newtab")
ficaria algo assim: "C:\Program Files (x86)\Google\Chrome\Application\chrome.exe" chrome://newtab.


PRONTO!

Why Are We Still Using CPUs Instead of GPUs?

Why Are We Still Using CPUs Instead of GPUs?

Increasingly GPUs are being used for non-graphical tasks like risk computations, fluid dynamics calculations, and seismic analysis. What’s to stop us from adopting GPU-driven devices?
Today’s Question & Answer session comes to us courtesy of SuperUser—a subdivision of Stack Exchange, a community-drive grouping of Q&A web sites.

The Question

SuperUser reader Ell keeps up with tech news and is curious why we’re not using more GPU-based systems:
It seems to me that these days lots of calculations are done on the GPU. Obviously graphics are done there, but using CUDA and the like, AI, hashing algorithms (think Bitcoins) and others are also done on the GPU. Why can’t we just get rid of the CPU and use the GPU on its own? What makes the GPU so much faster than the CPU?
Why indeed? What makes the CPU unique?

The Answer

SuperUser contributor DragonLord offers a well supported overview of the differences between GPUs and CPUs:
TL;DR answer: GPUs have far more processor cores than CPUs, but because each GPU core runs significantly slower than a CPU core and do not have the features needed for modern operating systems, they are not appropriate for performing most of the processing in everyday computing. They are most suited to compute-intensive operations such as video processing and physics simulations.
The detailed answer: GPGPU is still a relatively new concept. GPUs were initially used for rendering graphics only; as technology advanced, the large number of cores in GPUs relative to CPUs was exploited by developing computational capabilities for GPUs so that they can process many parallel streams of data simultaneously, no matter what that data may be. While GPUs can have hundreds or even thousands of stream processors, they each run slower than a CPU core and have fewer features (even if they areTuring complete and can be programmed to run any program a CPU can run). Features missing from GPUs include interrupts and virtual memory, which are required to implement a modern operating system.
In other words, CPUs and GPUs have significantly different architectures that make them better suited to different tasks. A GPU can handle large amounts of data in many streams, performing relatively simple operations on them, but is ill-suited to heavy or complex processing on a single or few streams of data. A CPU is much faster on a per-core basis (in terms of instructions per second) and can perform complex operations on a single or few streams of data more easily, but cannot efficiently handle many streams simultaneously.
As a result, GPUs are not suited to handle tasks that do not significantly benefit from or cannot be parallelized, including many common consumer applications such as word processors. Furthermore, GPUs use a fundamentally different architecture; one would have to program an application specifically for a GPU for it to work, and significantly different techniques are required to program GPUs. These different techniques include new programming languages, modifications to existing languages, and new programming paradigms that are better suited to expressing a computation as a parallel operation to be performed by many stream processors. For more information on the techniques needed to program GPUs, see the Wikipedia articles on stream processing and parallel computing.
Modern GPUs are capable of performing vector operations and floating-point arithmetic, with the latest cards capable of manipulating double-precision floating-point numbers. Frameworks such as CUDA and OpenCL enable programs to be written for GPUs, and the nature of GPUs make them most suited to highly parallelizable operations, such as in scientific computing, where a series of specialized GPU compute cards can be a viable replacement for a small compute cluster as in NVIDIA Tesla Personal Supercomputers. Consumers with modern GPUs who are experienced with Folding@home can use them to contribute with GPU clients, which can perform protein folding simulations at very high speeds and contribute more work to the project (be sure to read the FAQs first, especially those related to GPUs). GPUs can also enable better physics simulation in video games using PhysX, accelerate video encoding and decoding, and perform other compute-intensive tasks. It is these types of tasks that GPUs are most suited to performing.
AMD is pioneering a processor design called the Accelerated Processing Unit (APU) which combines conventional x86 CPU cores with GPUs. This could allow the CPU and GPU components to work together and improve performance on systems with limited space for separate components. As technology continues to advance, we will see an increasing degree of convergence of these once-separate parts. However, many tasks performed by PC operating systems and applications are still better suited to CPUs, and much work is needed to accelerate a program using a GPU. Since so much existing software use the x86 architecture, and because GPUs require different programming techniques and are missing several important features needed for operating systems, a general transition from CPU to GPU for everyday computing is extremely difficult.

Have something to add to the explanation? Sound off in the the comments. Want to read more answers from other tech-savvy Stack Exchange users? Check out the full discussion thread here.

quarta-feira, 22 de junho de 2016

APAGAR ARQUIVO INAPAGÁVEL - UNDELETABLE FILE

Apos ver varios topicos relatando esse problema e pessoas como eu que ja tiveram esse problema,resolvi criar esse topico.
Aqui voce vai aprender de forma simples(sem negocio de DOS ou modo de recuperaçao) a apagar aquele arquivo vazio que se apegou ao seu HD ou então aquele que vive dizendo que ha um processo ocorrendo nele.

Material Necessario:
-Winrar em portugues
-Unlocker
-antes de mais nada baixe e instale esses dois programas,sao levinhos nada mais que 3 megas ao todo.

Vou fazer tipo FAQ, pra ficar amigavel.



Eh simples,clique com o botao direito do mouse na pasta e selecione o Unlocker,veja o processo que ta atrelado a pasta,selecione-a e desbloqueie.

""Isso nao deu certo e agora??""
CAlma,use o plano B, de novo botao direito, agora o winrar, selecione "adicionar ao arquivo...)" nas opçoes escolha,"deletar aruivos apos compactaçao", pronto depois eh so apagar o arquivo .rar.

""o "highlander" apaga mas volta??""
ele volta apos a reinicializaçao porque ele eh protegido pelo Sistem File Checker(SFC),o unico de apaga-lo
jeito eh desabilitar o SFc.eh complicado depedendo do windows, mas nao eh perigoso, vc pode habilita-lo depois.

""Nao quero desabilitar o SFC, vou ter que viver com "o imortal" no meu HD??""
um jeito simples de nao ver mais o arquivo eh ocultando ele(propriedades>selecione oculto).

"".................porque voce nao ensinou isso antes??""
pra dizer que sei alguma coisa.

""se sabe sobre isso,me diz porque esse problemas ocorrem.""
1-o arquivo eh do sistema e por isso eh protegido
2-o windows pensa q o arquivo eh do sistema e por isso eh protegido
3-por ser protegido o processo winlogon.exe esta atrelado a ele, entao toda vez que o Win faz logon, ele ve se ta tudo de boa com o arquivo ou recria-o.
4-deu erro quando vc apagou o arquivo e agora ele esta como se ja tivesse deletado nao estando,entao ele nao pode ser redeletado.
5-deu erro quando vc apagou o arquivo e ele foi apagado,mas a alma dele(o nome dele deve ta ainda no indexador de arquivos ou no registro do windows) 
nao foi totalmente apagada,por isso o windows pensa q ele existe.
6-ha realmente um processo real ocorrendo nele.
7-o explorer(o programa q amostra as suas pastas,o menu iniciar, os icones do desktop,ect.) ta atrelado a ele por algum erro do explorer.

""eu quero desativar o SFC, me ajuda??""
se alguem realmente quiser eu explico, eh q eh complicado.

""vc acha q sabe alguma coisa eu sei mais q tu, fraco!""
nao to querendo ser o dono da razao, se ha algum topico falando melhor sobre isso, se infrigi alguma regra do forum, se vc tem duvidas, 
criticas, sugestoes, doaçoes de dinheiro,estamos aqui.!!!
ddragoonss


ps:se for postar em outro local esse topico, por favor, coloque a minha autoria:"originalmente postado por ddragoonss"


http://www.hardware.com.br/comunidade/aprenda-apagar/914106/

quinta-feira, 12 de novembro de 2015

Tecla Alt Gr não funciona


Estava com o mesmo problema e resolvi assim:
1. Primeiro, vá até a Janelinha do Windows no canto esquerdo da barra de tarefas 
2. Clique com o botão direito do mouse sobre a mesma, irá abrir algumas opções, navegue até GERENCIADOR DE DISPOSITIVOS e clique nele.
3. Agora navegue até MOUSE E OUTROS DISPOSITIVOS APONTADORES, do lado tem tipo uma SETA, clique nele e expanda as opções.
4. Depois de expandir irá aparecer duas opções, a segunda é SYNAPTICS PS/2 PORT TOUCHPAD, clique com o botão direito do mouse nela, navegue até PROPRIEDADES.
5. Navegue até DRIVER.
6. Vá até a opção REVERTER DRIVER e aguarde o processo, reinicie e pronto.
Talvez isso te ajude

segunda-feira, 31 de agosto de 2015

Remover hiperlinks de arquivos Word

Remover hiperlinks de arquivos Word:

1º Selecione todo o texto do Word (CTRL+T)
2º Pressione CTRL+SHIFT+F9
Pronto!