I'm doing my first steps in the OpenMP world.
I have an image I want to apply a filter on.
Since the image is large I wanted to break it into non overlapping parts and apply the filter on each independently in parallel.
Namely, I'm creating 4 images I want to have different threads.
I'm using Intel IPP for the handling of the images and the function to apply on each sub image.
I described the code here:
The whole point of simulation is to model the behavior of a design and potential changes against various conditions to determine whether we are getting an expected response; and simulation in software is far cheaper than building hardware and performing a physical simulation and modifying the hardware model each time.
In November 2014, I led a session at SC14 (the event formerly known as “Supercomputing”) titled “The Future of Fortran”. I invited representatives from other vendors and members of the Fortran standards committee to participate, and had some accept, but when it came time for the session, I was up there alone. Oh well…
< Overview >
In this article, we are enabling and using Intel(R) Integrated Performance Primitives(IPP), Intel(R) Threading Building Blocks(TBB) and Intel(R) C++ Compiler(ICC) on Linux ( Ubuntu 14.04 LTS 64bit ). We will build and run one of the examples that comes with IPP and apply TBB and ICC on the example to observe the performance improvement of using Intel(R) System Studio features.
New Intel processors introduce enhanced instruction set extensions to improve performance or strengthen security of an application. Instruction set extensions like Intel AVX1 and AVX21 are used to improve performance and Intel SHA2 instructions are used for SHA acceleration to increase security of an application.
Intel(R) C++ Compiler 15.0 provides a feature which enables offloading general purpose compute kernels to processor graphics. This feature enables the processor graphics silicon area for general purpose computing. The key idea is to utilize the compute power of both CPU cores and GPU execution units in tandem for better utilization of available compute power.
Target OS requirements:
Intel(R) System Studio Developer Story : With XDB and MinnowBoard MAX , how to debug exception errors in the Android-Linux-Kernel.