Learn all about oneAPI from the experts

As the world’s data-centric workloads become more diverse, so do architectures that process that data. The Intel oneAPI project aims to deliver a unified standards-based programming model to simplify application development across diverse computing architectures spanning scalar, vector, matrix, and spatial (SVMS) deployed in CPU, GPU, AI, FPGA, and other accelerators.

While a unified development model can potentially be a game-changer, developers will still need to tune code for the hardware they target.

Get the skills you need to program in a heterogeneous world

In partnership with Intel, Colfax has been a leading provider of code modernization and optimization training (the HOW Series). We are excited to be leading the way with training for oneAPI and Data Parallel C++ (DPC++). The training includes access to Intel® DevCloud providing you with the hardware and software to try oneAPI/DPC++ easily (you can also download and use the tools on your own system).

Included in our experts for oneAPI and DPC++, is James Reinders (retired from Intel and also one of the co-authors on an upcoming book on DPC++) who has an impressive track record of teaching parallel programming and supercomputer-know-how. Together we are excited to bring advanced training on oneAPI and DPC++ on the web, cloud, classrooms, or on-premise to suit your needs.

Contact us for more information

Training Modules

The following training modules are available now.

Getting Started with oneAPI Programming in a heterogeneous world How oneAPI addresses our heterogeneous world Hello Doubler - simple DPC++ coding example What is SYCL? DevCloud - Try oneAPI easily oneAPI - Why and how What is Data Parallel C++? Watch the video Download Module 1 Slides

Introduction to DPC++ DPC++, SYCL, C++, and a heterogeneous universe Anatomy of a DPC++ program Hello Doubler - DPC++ Device selection in DPC++ DPC++ - Standards-based cross-architecture language Why not an existing language? What is Data Parallel Computing? Watch the video Download Module 2 Slides

Fundamentals of DPC++ DPC++ programs Execution model Where and how to get and use DPC++ id, item, nd_item Lab exercise: stencil code Host/Accelerator model VTune for probing Heirarchical parallelism Launching kernels with dependencies Watch the video Download Module 3 Slides Download Module 4 Slides

Future Training Modules

Future training modules (coming up in 2020) will dive into more detail on DPC++ and oneAPI, with topics including event handling, optimizing for CPU/GPU/FPGA, and oneAPI libraries.