You can try with OpenMP tasks. Open a parallel block and create two task blocks in it. Something like this: #pragma omp parallel { #pragma omp task { // hello world code } #pragma omp task { // connect mysql } } Add the -fopenmp option to your compilation line. There might be better approaches … Read more
Introduction Yes, it is possible to run completely unrelated tasks in parallel in C/C++. This can be done using a variety of techniques, such as multi-threading, asynchronous programming, and message passing. Each of these techniques has its own advantages and disadvantages, and can be used to achieve different levels of parallelism. In this article, we … Read more
Your code is fairly straightforward with lots of independent parallel loops. These parallel loops appear to be wrapped in an outer convergence do while loop, so as long as you keep the data on the device for all iterations of the convergence loop, you won’t be bottlenecked by transfers. I would recommend starting with compiler … Read more
I haven’t analyzed all of it, but definitely the modification of mapStore from multiple goroutines is unsafe: mapStore[*res.someData] = append(mapStore[*res.someData], res) But as a starting point, run this under the race detector. It’ll find many problems for you. This is also clearly unsafe: resSlice := append(resSlice, res) But it also doesn’t quite do what you … Read more
In R it is always preferable to avoid loops wherever possible, as they are usually much slower than alternative vectorized solutions. This operation can be done with a data.table join. Basically, when you run dt1[dt2]; you are performing a right-join between the two data.tables. The preset key columns of dt1 determine which columns to join … Read more
One problem is how you are handling h_A, h_B, and h_C: h_A = (float *) wbImport(wbArg_getInputFile(args, 0), &inputLength); h_B = (float *) wbImport(wbArg_getInputFile(args, 1), &inputLength); The above lines of code are creating an allocation for h_A and h_B and importing some data (presumably). These lines of code: cudaHostAlloc((void **) &h_A, size, cudaHostAllocDefault); cudaHostAlloc((void **) &h_B, … Read more
Your code is correctly printing the value of c as 9. You need to clarify on the environment you are running this code. 2 solved (CUDA C) Why is it not printing out the value copied from device memory?
I have a list of promises: [pr1, pr2, pr3, pr4, pr5] If you have a list of 5 promises you already have 5 things processing in parallel. There is no way to stop it since you have already triggered the processes by creating the promises. If you want to process only two of them at … Read more
List<Customer> customers = GetCustomers(“ACT”); Task[] tasks = new Task[MaxNumOfConcurrentSaves]; While(customers.Length > 0) { for(int i = 0; i < MaxNumOfConcurrentTasks; i++){ tasks[i] = SaveCustomerData(customers[i]); customers[i] = null; } customers = List.FindAll<Customer>(customers, aCust => !(aCust == null)); Task.AwaitAll(tasks) } Ok so here’s whats happening (and you’ll have to perfect it for your uses): while we have … Read more
I will not do your HW, but I will give a hint. When playing around with OpenMp for loops, you should be alert about the scope of the variables. For example: #pragma omp parallel for for(int x=0; x < width; x++) { for(int y=0; y < height; y++) { finalImage[x][y] = RenderPixel(x,y, &sceneData); } } … Read more