Intel Software

DPC++ PROGRAMMING ON NVIDIA GPU

Date: Wednesday, July 22, 2020
Time: 9:00 AM to 10:30 AM PDT

Intel invites you to join the DPC++ Programming on NVIDIA GPU virtual workshop! Learn how Codeplay™ has collaborated with Intel® to deliver an open source DPC++ back-end implementation that provides support for Nvidia GPUs. We will present details of how developers can take advantage of this, and how support has also been added for the oneMKL BLAS library. The workshop will be from 9:00 AM to 10:30 AM PDT on Wednesday, July 22, 2020. Build, create, code & Innovate with oneAPI.

Abstract:

DPC++ provide developers with the ability to write standard C++ code for heterogeneous systems, and accelerate execution using a range of different processors including CPUs, GPUs and FPGAs.

Software developers can use this implementation to target Nvidia GPUs using any SYCL code, without any porting or special tricks required. If you have existing SYCL code, or if you are writing new SYCL code, you can compile it and target Nvidia GPUs without modifications.

Doing a hands-on exercise will help you to learn how to invoke the compiler to compile your code for Nvidia hardware using DPC++.

Speaker: Ruyman Reyes – Codeplay Software

Ruyman Reyes

Ruyman is a software engineer with background in High Performance Computing and extensive experience in programming models and heterogeneous platforms.

Speaker: Stuart Adams - Codeplay Software

Stuart Adams

Stuart Adams is a staff software engineer whose main interests are graphics, gameplay and engine programming. If it involves writing high-performance C++, he is into it!

Required Fields(*)

Please enter a first name.
First name must be at least 2 characters long.
First name must be less than 250 characters long.
Please enter a first name.
Please enter a last name.
Last name must be at least 2 characters long.
Last name must be less than 250 characters long.
Please enter a last name.
Please enter an email address.
Please enter a valid email address.
Email Address must be less than 250 characters.
Please enter a company name.
Company name must be at least 2 characters long.
Company name must be less than 250 characters long.
Please enter a company name.
Please select a country.
Please enter a business phone.
Business phone must be at least 2 characters long.
Business phone must be less than 250 characters long.
Please enter a business phone.
Please enter a valid business phone.

By submitting this form, you are confirming you are age 18 years or older and you agree to share your personal data with Intel for this business request.

By submitting this form, you are confirming you are age 18 years or older. Intel may contact me for marketing-related communications. To learn about Intel's practices, including how to manage your preferences and settings, you can visit Intel's Privacy and Cookies notices.

Hardware/software requirements for the hands-on exercise:

Currently, the only combination that is fully tested is Ubuntu 18.04 with CUDA 10.2 using a Titan RTX GPU (SM 71), but it should work on any GPU compatible with SM 50 or above with CUDA 10.2.

Attendees will need to have NVIDIA hardware compatible with these requirements and CUDA 10.2 installed.

Join our Discord channel where our experts will answer your questions, and you can interact with other like-minded developers.