Conference ProgramTim Lewis2020-04-01T14:01:16+01:00
The “Advanced Hands-On OpenCL Tutorial” focuses on advanced OpenCL concepts and is an extension of the highly successful ‘Hands on OpenCL’ course which has received over 6,500 downloads from GitHub. Simon McIntosh-Smith, Professor in High Performance Computing at the University of Bristol and one of the tutorial authors will lead the sessions along with members of his research team.
“I’m delighted to offer developers the opportunity to extend their OpenCL knowledge by running this advanced version of the open source Hands-On OpenCL tutorial.” said Simon McIntosh-Smith. “The course is based on my extensive “HandsOnOpenCL” online material which been incredibly popular on Github. Anyone looking to extend their OpenCL skills beyond the introductory level should benefit from this one-day tutorial.”
The tutorial format is a 50/50 split between lectures and exercises and uses a mix of OpenCL C and C++ host APIs. Attendees will require their own laptop to log onto a server running OpenCL 1.0 thru OpenCL 2.0. Alternatively, students can run the exercises on their laptops using their preferred OpenCL SDK.
About the Presenter
Simon McIntosh-Smith is a leading OpenCL trainer, having taught the subject since 2009. He has run many OpenCL training courses at conferences such as Super Computing and HiPEAC, and has provided OpenCL training for the UK’s national supercomputing service and for the Barcelona Supercomputing Center. With OpenCL training experience ranging from half day on-site introductions within companies, to three-day intensive hands-on workshops, Simon provides standard and customized OpenCL training courses. The tutorial will also be supported by members of Simon’s research team, all of whom are experienced OpenCL software developers. Follow Simon on Twitter: @simonmcs
Optimizing OpenCL for Intel FPGAs
FPGAs are reconfigurable silicon used to create custom circuits for accelerating algorithms. This hands-on workshop will cover how to use OpenCL to implement high performance solutions on the FPGA using the latest version of Intel® FPGA SDK for OpenCL. We will examine how kernels are converted to custom dataflow circuits and how executions of the OpenCL kernels are mapped onto the FPGAs. We will experiment with various debug and analysis tools available in the SDK to help us optimize our OpenCL kernels with regards to both FPGA resource consumption and performance. We will examine how loops in kernels can be effectively optimized for deep pipelined-parallel execution. We will practice stream data in and out of the kernels using pipes and channels from the host, external interfaces, and other kernels for effective inline acceleration. We will guide the compiler to make performance and area trade-offs through use of attributes and pragmas and arbitrary-precision data types. We will lastly discuss how local memory systems can be generated on the FPGA for effective stall-free accesses from kernels.
Attendees will be provided with remote access to a development node and should bring a non-Linux laptop. A basic knowledge of OpenCL would be an advantage, but nothing too sophisticated is required.
In response to the demand for heterogeneous programming models for C/C++, and the interest in driving these models in ISO C++, Distributed & Heterogeneous Programming in C/C++ includes all the programming models that have been designed to support heterogeneous programming in C and C++.
Many models now exist including SYCL, HPX, KoKKos, Raja, C++AMP, HCC, Boost.Compute, and CUDA to name a few.
This conference aims to address the needs of both HPC and the consumer/embedded community where a number of C++ parallel programming frameworks have been developed to address the needs of multi-threaded and distributed applications. The C++11/14/17 International Standards have introduced new tools for parallel programming to the language, and the ongoing standardization effort is developing additional features which will enable support for heterogeneous and distributed parallelism into ISO C++ 20/23.
DHPCC++ is an ideal place to discuss research in this domain, consolidate usage experience, and share new directions to support new hardware and memory models with the aim of passing that experience to ISO C and C++.
Khronos Advisory Panel BOF
Neil Trevett | Khronos President NVIDIA Vice President Developer Ecosystem OpenCL Working Group Chair