Matrix Multiplication Using CUDA Streams

GPU Teaching Kit – Accelerated Computing

Objective

The purpose of this lab is to get you familiar with using the CUDA streaming API by re-implementing a the tilled matrix multiplication lab to use CUDA streams.

Prerequisites

Before starting this lab, make sure that:

Instruction

Edit the code in the code tab to perform the following:

Instructions about where to place each part of the code is demarcated by the //@@ comment lines.

Local Setup Instructions

The most recent version of source code for this lab along with the build-scripts can be found on the Bitbucket repository. A description on how to use the CMake tool in along with how to build the labs for local development found in the README document in the root of the repository.

The executable generated as a result of compiling the lab can be run using the following command:

./MatrixMultiplication_Stream_Template -e <expected.raw> \
  -i <input0.raw>,<input1.raw> -o <output.raw> -t matrix

where <expected.raw> is the expected output, <input0.raw>,<input1.raw> is the input dataset, and <output.raw> is an optional path to store the results. The datasets can be generated using the dataset generator built as part of the compilation process.