ThrustRTC

The aim of the project is to provide a library of general GPU algorithms, functionally similar to Thrust, that can be used in non-C++ programming launguages that has an interface with C/C++ (Python, C#, JAVA etc).

This projects uses a new CUDA programming paradigm: NVRTC + dynamic-instantiation, as an alternative to the well establish "CUDA runtime + static compilation + templates" paradigm.

Click here to learn more about the new paradigm.

Using ThrustRTC in different languages

The usage of this library is quite simlar to using Thrust, except that you can use it Python, C# and JAVA, and CUDA SDK is not required.

Thrust, C++:

#include <vector>
#include <thrust/replace.h>
#include <thrust/device_vector.h>

std::vector<int> hdata({ 1, 2, 3, 1, 2  });
thrust::device_vector<int> A(hdata);
thrust::replace(A.begin(), A.end(), 1, 99);

// A contains { 99, 2, 3, 99, 2}

ThrustRTC, in C++:

#include "TRTCContext.h"
#include "DVVector.h"
#include "replace.h"

int hdata[5] = { 1,2,3,1,2 };
DVVector A("int32_t", 5, hdata);
TRTC_Replace(A, DVInt32(1), DVInt32(99));

// A contains { 99, 2, 3, 99, 2}

ThrustRTC, in Python:

import ThrustRTC as trtc

A = trtc.device_vector_from_list([1, 2, 3, 1, 2], 'int32_t')
trtc.Replace(A, trtc.DVInt32(1), trtc.DVInt32(99))

# A contains [99, 2, 3, 99, 2]

ThrustRTC, in C#:

using ThrustRTCSharp;

DVVector A = new DVVector(new int[] { 1, 2, 3, 1, 2 });
TRTC.Replace(A, new DVInt32(1), new DVInt32(99));

// A contains { 99, 2, 3, 99, 2}

ThrustRTC, in JAVA:

import JThrustRTC.*;

DVVector vec = new DVVector(new int[] { 1, 2, 3, 1, 2 });
TRTC.Replace(vec, new DVInt32(1), new DVInt32(99));

// A contains { 99, 2, 3, 99, 2}

A significant difference between ThrustRTC and Thrust is that ThrustRTC does not include the iterators. All operations explicitly work on vectors types. There are adaptive objects that can be used to map to a sub-range of a vector instead of using the whole vector.