I am getting a really terrible fps on epic or high quality. I have a 512mb GPU.I just want a low fps around 30-40.My scene only contains a room having some textures. Do I am expecting more or is there any way to solve this problem.I thought may be its because of starter content which i hadn't used.
I think your computer is the problem here
Recommended Hardware
Windows 7 64-bit or Mac OS X 10.9.2 or later
Quad-core Intel or AMD processor, 2.5 GHz or faster
NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher
8 GB RAM
Here, I provide a link to thier page https://wiki.unrealengine.com/Recommended_Hardware
Related
I own an Intel Compute Stick 2 that I intend to use to process object detection networks.
After installing OpenVINO on my machine (Ubuntu 18.04), I tried running the object detection python demo on a video. When running it on the Intel stick, I would get a speed of around 7.5 frames per second, while running it on my laptop Intel CPU is a lot faster at 44 frames per second.
Even if my laptop is a decent gaming laptop, I was surprised by the fact that processing on the Intel stick is so much slower. I plan to use the Intel stick on another device, not my laptop, but I would like to understand why there is this big difference in performance. Anyone had a similar experience?
You're getting an expected performance of Intel® Neural Compute Stick 2.
Check out the following discussions regarding the performance of Intel® Neural Compute Stick 2.
Raspberry Pi and Movidius NCS Face Recognition
Share | Intel Neural Compute Stick 2 (Intel Neural Compute Stick 2) related tests
Battle of Edge AI — Nvidia vs Google vs Intel
I have two computers, one with a GTX 980 + Intel Core i7 4960X and the other one has a AMD Radeon HD 7850 + Pentium G860. I am getting device features with opencl's clGetDeviceInfo function. I am wondering why the Penitum G860 is supporting cl_khr_gl_sharing extension and Core i7-4960X is not supporting in OpenCL.
Is that something related to difference between AMD and nVIDIA graphic cards? or it is really the difference between cpus? Because definitely, Core i7-4960 is much much more powerful than Pentium G860.
Intel OpenCL Drivers are installed on both computers. For the nVIDIA system, I am using nvidia opencl 1.1 driver but for AMD one, I am using AMD APP SDK 3.0. Can be some difference due to that?
I am quite new in the world of GPU Computing. So I would really like someone to explain me the very basics. I have to Intel chipsets with the following GPUs:
GMA4500
HD graphics
I am interested in running algebraic and bitwise functions with huge data sets, like transpose of an array or bitwise shift of the lines of an array, in a GPU. The goal is of course to gain more performance.
My main question is how can I program such on GPUs? In the past I have used CUDA to program on nVIDIA video card. I understand from previous topics that I can't use CUDA for an INTEL GPUs. Thanks in advance!!
Update 1
I found out that Intel supports OpenCL for HD graphics. More precisely the Intel SDK for OpenCL applications provides a comprehensive development environment for OpenCL application on Intel® platforms including compatible drivers, code samples, development tools, such as the code builder, optimization guide, and support for optimization tools.
The SDK supports OpenCL 1.2 on 3rd and 4th generation Intel® Core™ processors with Intel® HD Graphics and Intel® Iris™ Graphics Family, Intel® Atom™ Processors with Intel HD Graphics, Intel® Xeon® processors, and Intel® Xeon Phi™ coprocessors.
OpenCL is the standard, cross-vendor API for GPGPU programming, roughly analogous to nVidia's proprietary CUDA.
I am new in OpenCL. I have an Dell XPS 1645 laptop which has ATI Mobility Radeon HD 4670 graphics card and a Intel CPU. I saw that AMD's software does not support OpenCL stuff for my graphics card but in Khronos website, my video card is seen as OpenCL supported. So, what do I have to do to start OpenCL programming? Also, can I use AMD's software which is for OpenCL?
It looks like you have a laptop with Windows 7, an Intel Core i7 CPU with 4 cores and hyper-threading?
Well OpenCL can run on CPU's as well as GPU's. With this model won't be able to access the GPU as an OpenCL device, but you can still use the CPU as an OpenCL device.
So download the OpenCL SDK from Intel or AMD, or both. Install it and try the examples.
You will have the change the calls to
clGetDeviceIds( .... )
so that the device type specified is always CL_DEVICE_TYPE_CPU
With some friends we want to use openCL. For this we look to buy a new computer, but we asked us the best between AMD and Intel for use of openCL. The graphics card will be a Nvidia and we don't have choice on the graphic card, so we start to want buy an intel cpu, but after some research we figure out that may be AMD cpu are better with openCL. We didn't find benchmarks which compare the both.
So here is our questions:
Is AMD better than Intel with openCL?
Is it a matter to have a Nvidia card with an AMD cpu for the performance of openCL?
Thank you,
GrWEn
You shouldn't care as much about what CPU you use as much as what GPU you use. You would need to choose between an AMD/ATI GPU or nVidia GPU.
I would personally recommend an nVidia GPU as, in addition to OpenCL support, you can experiment with their more proprietary CUDA technology which offers a far richer development experience than OpenCL does today. While you're at it take a look at the new AMP technology that was just announced by Microsoft for C++ which aims to bring language extensions akin to nVidia's CUDA. nVidia also has offerings for the enterprise with their Tesla GPUs with several vendors offering GPU clusters and you can even get a GPU compute cluster on Amazon EC2 now which is all based on nVidia hardware.
You want to buy a new computer with your friends? What kind of project do you plan to do? The question about the hardware is answered with the needs you have. If you give some more information, we can provide better suggestions.
As written before, the CPU is not the important point as long as you do not want to buy a multiprocessor multicore system like 4 Quadprocessors. The difference in performance is mostly the differences of the GPUs used and there you can find different cards for all needs. From a cheap GPU to the nVidia Tesla cards.
It is definitely not a problem to run a nVidia board on a AMD system. I do it here. You also can use the OpenCL devices from the AMD Multicore CPU and the nVidia GPU in parallel.
You should pay attention: If you plan to buy a potent system to run your software (like a webserver), every developer of OpenCL software needs a system for testing. So every developer needs at least a modern multi-core CPU with an OpenCL SDK. Where the OpenCL kernels are developed does not matter. OpenCL is platform independed.
Both Intel and AMD have good OpenCL-support for their CPUs, so currently it does not really matter which you cooose. If you want to use the embedded GPU on AMD Fusion or Intel SandyBridge, then I suggest you go for Fusion since Intel does not have a driver for their GPUs (yet). Depending on what you are going to use OpenCL for, I could suggest a GPU - sometimes NVidia is faster, sometimes AMD.
AMP, CUDA, RenderScript and the many, many others all work nice but they don't work on all hardware as OpenCL does. CUDA certainly has advantages, but in the time you have learnt openCL I can assure you the tools around OpenCL have catched up.
The CPU has no influence on GPU OpenCL performance.
You might also want to try running the OpenCL kernels on CPU. Checkout the Intel OpenCL compiler beta. You can even run kernels on both CPU and GPU.