I'm trying to run a C x86 application in a raspberry using Exagear.
In my laptop the CPU consumption of the C applications while is running is about 50-60%. When I run the same C application in the raspberry, the CPU consumption is about 300%. I don't know why this CPU consumption difference between my laptop and the raspberry using exagear.
My raspberry is a Quad core Cortex A53 processor # 1.2 GHz with Videocore IV GPU 1GB LPDDR2 RAM. While my laptop virtual machine have two processors and 4GB RAM.
I'm thinking that maybe there's some kind of problema using my C application with exagear.
I would like to know if I could check more things to try to figure out which is the cause of this high CPU consumption.
Related
Intel CPUs from SandyBridge and newer have MSRs that allow to get an accurate energy consumption (Measured in micro joules). These are visible to the kernel (RAPL - Running average power limit). Is there an equivalent option for ARM CPUs?
I am running a code of an application on my x86 Intel processor. I want to monitor the temperature (Thermal Profile) deviation caused by the application. How can I see in Linux? Are there such commands that I can run on terminal?
Thanks
How can I use PMU(Performance Monitor Unit) in ARM11 to calculate execution clock cycles of an assembly code?
I am using Raspberry Pi Model B. I am programming it in assembly language (running assembly program as OS), and want to calculate the number of clock cycles it takes to execute my code.
Start from here:
Performance Monitor Unit example code for ARM11 and Cortex-A/R
I've also seen a good resource on some Raspberry Pi dedicated site but have not saved the link. I'll post it if I find it.
Here we go: Raspberry Pi
In my opencl application I have a controlling application part, a graphics application part and some serial application part, as shown below:
All these applications are running in parallel.
So far I have written applications that run simultaneously on CPU and GPU. Is there a way I can use ARM together with CPU(Intel) and GPU (ATI) in parallel as shown in the picture above?
I was running cuda program on a machine which has cpu with four cores, how is it possible to change cuda c program to use all four cores and all gpu's available?
I mean my program also does things on host side before computing on gpus'...
thanks!
CUDA is not intended to do this. The purpose of CUDA is to provide access to the GPU for parallel processing. It will not use your CPU cores.
From the What is CUDA? page:
CUDA is NVIDIA’s parallel computing architecture that enables dramatic increases in computing performance by harnessing the power of the GPU (graphics processing unit).
That should be handled via more traditional multi-threading techniques.
cuda code runs only on GPU.
so if you want parallelism on your CPU cores, you need to use threads such as Pthreads or OpenMP.
Convert your program to OpenCL :-)