Author(s):	Beau Johnston
Location	OGGB3
Date	jan Wed 14	Days Raw Files
Start	10:40	First Raw Start	10:30
Duration	0:45:00	Offset	0:09:03
End	11:25	Last Raw End	11:29
Chapters	00:00
Total cuts_time	41 min.

http://lca2015.linux.org.au/schedule/30202/view_talk
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assets release.pdf Making_code_run_fast_on_all_the_things_with_OpenCL.json
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Description:	Modern computer systems are becoming more heterogenous. This can be seen with the increased use of accelerator devices and co-processors for both industrial and personal use. Devices such as Graphical Processing Units (GPUs) offer improved performance (both in taking a shorter duration to compute and energy efficiency) for a range of applications. Other tasks are better suited to the Digital Signal Processor (DSP), Field Programmable Gate Array (FPGA), another Central Processor Unit (CPU) or any alternative co-processor. All of these devices are significantly different in architecture and programming language support. Developing an application for all of these devices results in much redundancy, fragmentation and frustration by requiring the developer to write potentially several alternative implementations. This fragmentation can be really bad for programmers and the Open Source community in general as each vendor provides their own API's, proprietary tools and restrict our freedoms by locking us into a third party ecosystem. Thankfully a language and Open Source standard exists to save us from vendor hell, the answer is Open Computing Language (OpenCL)! During this talk I will discuss how to leverage this hardware agnostic language (from a programmers perspective) and recap on some tips on how to write flexible kernels once and have them run efficiently on all platforms. Additionally I'll focus on proper utilisation of time... our time (as developers) and the clients. Too often do we put off learning a new language or standard because of the initial time we need to sink into it before we have working code. I'll do this work for you, namely by comparing a few different language implementations of OpenCL with a major emphasis being placed on development time and comparing it against execution time (and what cost does it have your sanity). You'll also be given some running OpenCL boilerplate code in each of these languages, so you can hit the ground running! Please attend my talk, as I need your help in increasing it's adoption which will in turn increase vendor support for the lastest, greatest and more flexible versions of the OpenCL standard. markdown
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