Monday, Nov 17 | 8:30am - 5:00pm | Room 395
Tim Mattson, Alice Koniges, and Simon McIntosh–Smith
The tutorial format will be a 50/50 split between lectures and exercises. Students will use their own laptops (Windows, Linux or OS/X) and log into a remote server running an OpenCL platform. Alternatively, students can load OpenCL onto their own laptops prior to the course (Intel, AMD and NVIDIA provide OpenCL SDKs. Apple laptops with X-code include OpenCL by default. Be sure to configure X-code to use the command line interface).
Tuesday, Nov 18 | 5:30pm – 7:00pm | Room 275-76-77
Tim Mattson, Simon McIntosh–Smith, Andrew Richards, Ronan Keryell, and others.
In this BOF, we will discuss the latest developments in OpenCL including the recent OpenCL 2.0 specification. We will then convene a panel representing divergent views on the future of OpenCL to engage in an interactive debate on where to take OpenCL.
Poster Reception: Hardware Accelerated Linear Programming: Parallelizing the Simplex Method with OpenCL
Nov 16-21 | 5:15pm - 7:00pm | Room: New Orleans Theater Lobby
This work proposes an energy-efficient hardware accelerated Linear Programming (LP) solver. The system is based on the Simplex Algorithm for solving LP problems and is operable on Field Programmable Gate Arrays (FPGAs), Graphic Processing Units (GPUs), and Multi-Core Computer Processors (CPUs).