#INTEL BURN TEST GFLOPS COMPILATION DATABASE CPU CODE#
#INTEL BURN TEST GFLOPS COMPILATION DATABASE CPU DOWNLOAD#

#INTEL BURN TEST GFLOPS COMPILATION DATABASE CPU CODE#

OpenCL does wrap your kernel (piece of code to run) in a loop. Here is a simple implementation in C# (yes, I know there are much better algorithms to calculate primes).Д¬opy Code kernel void GetIfPrime(global int* message) Imagine you wanted to know all prime numbers from 2 to 10^8. It is written in C# but could be adapted to any. This helper project will reduce your programming overhead so that you can concentrate on the core problem. OpenCL programming can be a very time consuming task. Dont think about computedevices, pinvoke, marshalling and other stuff. (See example below) The overhead you have as a developer is literally zero. OpenCL code always runs faster than C# on arrays and is really easy and quick to just use with this project. Most importantly, it is really easy to write a program for your GPU and CPU with this class. If there are many ifs, the CPU can be better sometimes. The speedup factor can approach 500x in pure multiply add workloads. Native C# is 5x slower than the best speed you can get on your PC. These are the results for simple prime calculation:ДЄs you can see, you really can speed up your program a LOT. So any program you write can be used on any device. Unlike Cuda, it runs on any GPU (Amd, Nvidia, Intel) and also on the CPU. Keep in mind that this project uses OpenCL. Use your GPU for any task and have your CPU free to do something else.Save energy and time by using GPU and CPU in parallel.Ideally, all your data fits into some float or other numeric arrays.Д®xamples for a potential speed up would be: If you have a piece of code which is concurrent and you want to speed it up, this is the right project for you. By using only the CPU to execute tasks, you might waste about 90% of its potential. Your computer is a very powerful machine.

#INTEL BURN TEST GFLOPS COMPILATION DATABASE CPU DOWNLOAD#

If you want to skip the introduction and dive into using this, feel free to download the source code. In fact, you only need a little bit of basic programming skills for this project. This is also going to show that GPU programming does not have to be hard. They are compiled and executed at run time.

This project can dynamically execute simple programs written in a C dialect (OpenCL C) on your GPU, CPU or both. Modern Quad Core CPUs have about 6 Gflops whereas modern GPUs have about 6Tflops of computational power. This project is going to show you that a modern Core I7 is probably the slowest piece of programmable hardware you have in your PC.

Works on multiple GPUs and any other OpenCL device now.

Single GFlops = 27089,95GFlops = 27TFlops

New Hardware tested: Insane improvements since 2016!.

Intel burn test gflops compilation database cpu