opencl

I am developing an application in opencl whose basic objective is to implement a data mining algorithm on GPU platform. I want to use Hadoop Distributed File System and want to execute the application on multiple nodes. I am using MapReduce framework and I have divided my basic algorithm into two parts i.e. 'Map' and 'Reduce'. I have never worked in hadoop before so I have some questions: Do I have write my application in java only to use Hadoop and Mapeduce framework? I have written kernel functions for map and reduce in opencl. Is it possible to use HDFS a file system for a non java GPU

I want to measure the performance (read runtime) of my kernel code on various devices viz CPU and GPUs. The kernel code that I wrote is: __kernel void dataParallel(__global int* A) { sleep(10); A[0]=2; A[1]=3; A[2]=5; int pnp;//pnp=probable next prime int pprime;//previous prime int i,j; for(i=3;i<500;i++) { j=0; pprime=A[i-1]; pnp=pprime+2; while((j<i) && A[j]<=sqrt((float)pnp)) { if(pnp%A[j]==0) { pnp+=2; j=0; } j++; } A[i]=pnp; } } However I have been told that it is not possible to use sleep() in the kernel code. If that is true then can someone give the reason and if it isn't please tell

I'm using pyOpenCL to do some complex calculations. It runs fine on CPU, but I get an error when trying to run it on an NVIDIA GeForce 9400M (256 MB). I'm working on Mac OS X Lion (10.7.5) The strange thing is that this error does not always show up. It seems to occur when my calculations use larger numbers (resulting in larger iterations) but only when run on GPU. I'm not writing to memory locations I'm not supposed to write to. I ruled out possible problems with concurrent modification by running the code as a single work item. I simplified my OpenCL code as much as possible, and from what

I cloned https://github.com/codeplaysoftware/computecpp-sdk.git and modified the computecpp-sdk/samples/accessors/accessors.cpp file. I just added std::cout << "SYCL exception caught: " << e.get_cl_code() << '\n'; . See the fully modified code : /*************************************************************************** * * Copyright (C) 2016 Codeplay Software Limited * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * *

I am a newbie to opencl. I have a doubt about opencl functioning when kernel is running on a cpu device.Suppose we have a kernel running on a cpu device, can it read from a file on the disk. If yes,then how ? If no , then why not ? Can you please suggest a source for detailed information ?? thanks in advance. You can't. OpenCL is trying to unite access to computing power and file system is depending on OS. If you want this feature, there are threads (C++11 thread, pthread,...) or OpenMP should be able to handle this, because it's CPU-only thing. It can't. Simply because not every OpenCL device

Can I use struct as OpenCL kernel argument? I want to use struct type as OpenCL kernel argument in NVIDIA OpenCL 1.2 (NVIDIA driver 352.39) I tried, but it makes CL_OUT_OF_RESOURCE error. What is wrong in my code?? [for struct definition] /* struct type definition */ typedef struct _st_foo { int aaa; int bbb; ..... int zzz; }st_foo; // st_foo doesn't have any pointer members [Host code] /* OpenCL initalize... */ st_foo stVar; cl_mem cm_buffer; cm_buffer = clCreateBuffer(cxContext, CL_MEM_READ_ONLY, sizeof(st_foo), NULL, NULL); clSetKernelArg(ckKernel, 0, sizeof(cl_mem), (void*)&cm_buffer);