In order to enable an iCal export link, your account needs to have an API key created. This key enables other applications to access data from within Indico even when you are neither using nor logged into the Indico system yourself with the link provided. Once created, you can manage your key at any time by going to 'My Profile' and looking under the tab entitled 'HTTP API'. Further information about HTTP API keys can be found in the Indico documentation.
Additionally to having an API key associated with your account, exporting private event information requires the usage of a persistent signature. This enables API URLs which do not expire after a few minutes so while the setting is active, anyone in possession of the link provided can access the information. Due to this, it is extremely important that you keep these links private and for your use only. If you think someone else may have acquired access to a link using this key in the future, you must immediately create a new key pair on the 'My Profile' page under the 'HTTP API' and update the iCalendar links afterwards.
Permanent link for public information only:
Permanent link for all public and protected information:
OpenCL is a standard for programming heterogeneous computers built from CPUs, GPUs and other processors. It includes a framework to define the platform in terms of a host (e.g. a CPU) and one or more compute devices (e.g. a GPU) plus a C-based programming language for writing programs for the compute devices. Using OpenCL, a programmer can write task-based and data-parallel programs that use all the resources of the heterogeneous computer. In this tutorial, we will introduce OpenCL.
This will be a “programmer’s introduction” where we cover the ideas behind OpenCL but also show how these ideas are translated into source code. We will do this through a series of progressively more challenging examples, thereby providing a set of pedagogically useful examples that experienced HPC programmers can use to quickly become productive OpenCL programmers.
In the afternoon there will be an hands-on tutorial. Please, bring your own laptop. We will provide access to some machines with Intel OpenCL Linux installed, but it would be best if you had OpenCL installed on your own laptop. We will drive the tutorial around the Windows release from Intel, but we invite to use Linux version. You can download the beta release of OpenCL (Linux and Windows) from Intel at: http://software.intel.com/en-us/articles/opencl-sdk/
For Apple laptops, OpenCL is included with Xcode for Mac OS X (Snow Leopard release and beyond). You can also use the AMD release of OpenCL for x86 processors which can be downloaded at: http://developer.amd.com/SDKS/AMDAPPSDK/Pages/default.aspx Tim Mattson's bio.