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Ubuntu-tensorflow program end GPU Memory not released issue

I ran TensorFlow program on Ubuntu, halfway through the use of the Win+c key to the end of the program, but the GPU video memory is not released, has been in the occupied state.Using commandsNvidia-smiShown belowTwo GPU programs are in progress, in fact, gpu:0 has been stopped by the author, but the GPU is not released

Use GPU universal parallel computing to draw a manderberet set image

(controlled by the constant MAX_ITER ); 3. The selected compound plane area (the rmin, rmax, imin, and imax parameters are controlled ). The complexity of the algorithm cannot be determined because the iterations of each point in the compound plane are different. It is an O (N) algorithm with a large coefficient. In this test, the fixed range of the selected complex plane is the range of the real number axis [-1.101,-1.099] and the virtual number axis [2.229i, 2.231i. Its graph is the group of

What is the difference between CPU and GPU?

First you need to explain what the two abbreviations for CPU (the processing unit) and the GPU (Graphics processing Unit) represent respectively. CPU is the central processing unit, the GPU is the graphics processor. Second, to explain the difference between the two, first understand the similarities: both have a bus and the outside world, have their own caching system, as well as digital and logical unit o

Zfxengine Development notes-GPU hardware architecture

I _dovelemon Date: 2014/8/31 Source: csdn blog Article: GPU hardware architecture Introduction In 3D graphics, the emergence of programmable rendering pipelines is undoubtedly a pioneering work. In the following article, we will briefly introduce the hardware architecture of vertex shader and pixel shader, the most important of today's programmable rendering pipelines, and how to write shader using assembly languages. Vertex shader On the hardware,

2. Understanding parallel computing from the perspective of GPU

Preface This article describes how to implement parallel computing from the perspective of GPU programming technology. Three important issues to be considered in parallel computing 1. synchronization problems In the course on operating system principles, we have learned about deadlocks between processes and critical resource issues caused by resource sharing. 2. Concurrency Some problems are "Easy parallelism", such as matrix multiplication. In this t

GPU CPU Differences in drawing

There are two ways to handle drawing and animation:CPU (central processing unit) and GPU (graphics processor). In modern iOS devices, there are programmable chips that can run different software, but for historical reasons, we can say that the CPU does all the work at the software level, while the GPU is at the hardware level. in general, we can do anything with software (using the CPU), but for image p

GPU Sort __gpu

Single version of the two-tone ordering can be referred to http://blog.csdn.net/sunmenggmail/article/details/42869235 Or is this picture The idea of two-tone sorting based on Cuda is: Provides a thread for each element, or 1024 threads if it is greater than 1024 elements, because the __syncthreads can only be synchronized as a thread within the block, and a block has a maximum of 1024 threads, If the number of elements is greater than 1024, each thread may be responsible for more than one elem

Overview of OpenGL for universal GPU computing

It might be a bit earlier. GPU computing developers will do a common GPU computing OpenGL, with the rise of GPU computing technology, more and more technologies, such as OpenCL, CUDA, OPENACC, etc., are specifically used to do parallel computing standard or interface. OpenGL is used to do general-purpose GPU computing,

APU breaks the limit between CPU and GPU 1 + 1> 2?

What is APU The full name of APU is "Accelerated processing Units". The Chinese name is "Acceleration processor". The innovation of APU is to break the boundaries between CPU and GPU, and ultimately unify CPU and GPU from technology, production and application, in terms of structure, "obtain what is needed", "pay-as-you-go" on applications, and "merge into one" on products. But the performance of the two-in

Installing a Docker container that uses nvidia-docker--to use the GPU

nvidia-dockeris a can be GPU used docker , nvidia-docker is docker done in a layer of encapsulation, through nvidia-docker-plugin , and then call to docker on, its final implementation or on docker the start command to carry some necessary parameters. This is why you need to install it before you install it nvidia-docker docker .dockeris generally based on CPU the use of applications, and if GPU so, you nee

The difference between a GPU and a CPU

Boring time to see a CPU and GPU feel like, CPU and GPU a letter difference, but in the physical up a lot of difference. I believe we all know that the CPU is our computer's CPU, then we should also know that the GPU is a graphics processor. So what is the difference between them, the following small series for everyone to sum up CPU Full name central processing

Google depth of TPU: A article to understand the internal principles, and why the rolling GPU

Search, Street View, photos, translations, the services Google offers, use Google's TPU (tensor processor) to speed up the neural network calculations behind it. On the PCB board Google's first TPU and the deployment of the TPU data center Last year, Google launched TPU and in the near future on the chip's performance and structure of a detailed study. The simple conclusion is that TPU offers 15-30 times the performance boost and 30-80 times the efficiency (performance/watt) boost compared to th

TensorFlow specifying the use of the GPU

Viewing GPU conditions on the machine Command: Nvidia-smi Function: Shows the GPU on the machine Command: Nvidia-smi-l Function: Periodically update the GPU on the display machine Command: Watch-n 3 Nvidia-smi Function: Set refresh time (seconds) to show GPU usage The upper left side has a number of 0, 1, 2, 3, which

Implementation of Silverlight hyper-performance animation with GPU hardware acceleration (top)

When Silverlight3 was released, my friends and I were excited by the new GPU hardware acceleration, so we started a reckless overnight test, but the result was really disappointing. Yes, no matter how you modify your code, you can't feel a noticeable performance boost. The next day, the word GPU gradually away from my mind. Until a few days ago, after interacting with a friend, I was again asked to test the

A preliminary study on C # GPU

A preliminary study on C # GPU general computing First of all thanks for unauthorized reprint. GPU's parallel computing capacity is higher than the CPU, so recently there are many projects using the GPU appear in our vision, in InfoQ see this article on Accelerator-v2, it is Microsoft Research project, need to register to download, feel as I touch GPU general

Xcode GPU Frame Caputre

Today do map function, real machine test, Xcode console output Metal GPU Frame Capture Enabled: You can use the GPU frame Capture Metal API Validation Enabled: APIs can be used Validation What is a GPU Frame capture? This thought is Xcode a bug, the Internet check a bit, think also quite advanced: Friendship Link: http://www.cnblogs.com/TracePlus/p/40938

IE9 cannot cancel "Use software rendering without GPU rendering"

I. Description of the problem The setting "Use software rendering without GPU rendering" cannot be changed in IE9. Second, the method The "Use software rendering without GPU rendering" setting is turned on and grayed out to change settings, indicating that your display card does not match the minimum requirements and cannot turn on GPU hardware accelerati

GPU down sampling for Point Based Rendering

Abstract: Can the Ewa Rendering Method of dot rendering have the graphic effects produced by real-time GPU oversampling of our workers? Certainly not.Abstract: Is the Ewa splatting will be better than my GPU multipass supersampling method? Of course not!Zusammemfasloud: ist die Ewa splatting so besser als meine GPU multipass supersampling methode? Naturlich nicht

Hardware architecture Cuda entry-GPU hardware architecture

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. There

Is your password secure? Brute force password cracking with GPU

Reprinted from: http://www.cnbeta.com/articles/145526.htm This is an interesting little tool that allows you to use GPU to brute force password cracking, from the description in the news, radeon5770 operations per second for HD 3.3 billionRadeon HD 5770 can crack a five-digit password "fjr8n" in one second "...... If you have four HD 5970 images, the cracking speed will reach 33.1 billion times per second, and the CPU we generally use is only about 9

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