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{ 
    "father_compound": 55, 
    "name": ["aspirin", "acetylsalicylic acid"], 
    "smiles": "CC(=O)Oc1ccccc1C(=O)O", 
    "inchi_key": "BSYNRYMUTXBXSQ-UHFFFAOYSA-N", 
    "sdf_representation": "http://server.com/compound/2/sdf", 
    "comment": [ 
        "this is a comment", 
        "analogue of rdfs:comment" 
    ], 

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{
    "name":"molecular weight",
    "units":"Da",
    "description":"blah blah",
    "hasSource":"http://jaqpot.org:8080/model/45",
    "sameAs":"http://someontology.org/v/1.1#MolecularWeight",
    "creator":"chung@jaqpot.org"
}

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{
    "id": 100,
    "status":"COMPLETED",
    "http_status":200,
    "result": "http://opentox.ntua.gr:8080/model/234",
    "duration":452,
    "progress":[
        "data loaded",
        "new resources have been created",
        "now training the model",

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{
    "father_compound": 55,
    "name": "aspirin",
    "smiles": "CC(=O)Oc1ccccc1C(=O)O",
    "inchi_key": "BSYNRYMUTXBXSQ-UHFFFAOYSA-N",
    "sdf_representation": "http://server.com/compound/2/sdf",
    "comment": [
        "this is a comment",
        "analogue of rdfs:comment"
    ],

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/*
 * StreamArrayReader.cpp
 *
 *  Created on: Nov 1, 2014
 *      Author: Pantelis Sopasakis
 */

#ifndef STREAMARRAYREADER_IMPL_
#define STREAMARRAYREADER_IMPL_

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#!/bin/bash

# GET a dataset and store it in RDF in a file (locally)
curl http://apps.ideaconsult.net:8080/ambit2/dataset/R545 -H Accept:application/rdf+xml > R545.rdf 2> /dev/null


# POST the SAME dataset to the dataset server [Creates a task]:
task_uri=`curl -X POST --data-binary @R545.rdf http://apps.ideaconsult.net:8080/ambit2/dataset -H Content-type:application/rdf+xml -H Accept:text/uri-list 2> /dev/null`;
status=$(curl --write-out %{http_code} --silent --output /dev/null $task_uri);
echo "[Task Created] status = $status"

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% Where to store the header file:
header_filename = '/Users/imt/cuda-workspace/dGPAD_CUDA/src/sys_data.h';
int_type = 'short';

%create header
tic;

size_of_FN = zeros(length(sys.Ft),1);
size_of_FN_cum = zeros(size(size_of_FN));
for kk=1:length(sys.Ft),

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#ifndef MAT_VECTOR_
#define MAT_VECTOR_

#include<cuda_runtime.h>
#include"cublas_v2.h"
#include "helper_cuda.h"

/**
 * Definition of the function that perform multiple matrix-vector operations
 * @param      matrices:        Vector of pointers that point to multiple matrix vector operations,

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#include <stdio.h>
#include <stdlib.h>
#include <cuda_runtime.h>

#include "helper_cuda.h"

#define _CUDA(x) checkCudaErrors(x)

__global__ void ker(float ** d_X, float * d_A, float * d_B, int n){
  printf("Addresses...\n");

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#define 	BLOCK_SIZE		128
#define		RESTRICT __restrict__

template<typename T>
__global__ void matvec_kernel(const T * RESTRICT  dA, const T * RESTRICT  dx,
    T * RESTRICT dy, const uint_t nRows, const uint_t nx)
{
  const unsigned int tid = threadIdx.x + blockIdx.x * blockDim.x;

  __shared__ T x_shared[BLOCK_SIZE];