Transcoders could differ in how they consume media from their watch folders. Otherwise, a job id suffix will be added to the filename. Use unique sub-folder workflow - Enable workflow that creates a new sub-folder with a unique name inside the watch folder per job.Proxy timeout - Amount of seconds to wait until a growing proxy appears inside the watched folder before marking a job as failed due to timeout.Storage Path - The specific path for destination storage.Storage - The storage that the files created will end up on.Keep as edit proxy - Keep a proxy as an additional format.Exclude Patterns - The transcoder will ignore files which contain the (case-sensitive) pattern from this field.You can also use regular expressions: re:/^.*\.mov$/ (match file/folder with.*.mov (match file/folder that ends on.*exclude* (match file/folder with substring exclude).Include Patterns - The transcoder will only transcode files which contain the (case-sensitive) pattern from this field.After proxy file stops growing in size a job is considered finished. File grow threshold - Growing proxy file threshold.Create web proxy from edit proxy - Create a web proxy from an edit proxy using the iconik Transcoder.Watch folder location - Absolute location of the watch folder.For Blackmagic Proxy Generator use Proxy. Proxy folder name - Name of the folder where the result proxy file should be located.If file not present ISG can use ffmpeg and montage to generate a keyframe map from a created proxy. Keyframe map folder name - Name of the folder where the result keyframe map file should be located.If file not present, the ISG can use ffmpeg to generate a keyframe from a created proxy. Keyframe folder name - Name of the folder where the resultant keyframe file should be located.Accelerating Applications with CUDA C/C++.Solving Laplace Equation on GPU with OpenACC.Bioinformatics workflows with snakemake and conda.Big Data Application Over Hadoop and Spark.Introduction to OpenCL Programming (C/C++) Copyright (c) T. In the HPC school, the students had the opportunity to work with a higher-level heterogeneous programming model based on directives, called OpenACC. In this programming model, the parallelism is implicit, which means that the compiler is responsible for the parallelization, which might not work in all scenarios. However, OpenACC is a proprietary parallel programming model and it is supported by a limited set of devices, such as NVIDIA GPUs. OpenCL came as a standard for heterogeneous programming that enables a code to run in different platforms, such as multicore CPUs, GPUs (AMD, Intel, ARM), FPGAs, Apple M1, tensor cores, and ARM processors with minor or no modifications.įurthermore, differently from OpenACC, the programmer has full control of the hardware and is entirely responsible for the parallelization process. However, this portability has a cost, that’s the reason why OpenCL exposes the programmer to a much lower level compared to OpenACC or even CUDA. The target audience of OpenCL consists of programmers that aim at programming portable heterogeneous code and that want full control of the parallelization process. In this introductory tutorial, we teach how to perform the sum of two vectors C=A+B on the OpenCL device and how to retrieve the results from the device memory. The main objective of this tutorial is to introduce for students of the HPC school the heterogeneous programming standard - OpenCL. This tutorial covers the following aspects of OpenCL programming: A secondary objective is to show what is behind the higher-level heterogeneous programming libraries, so it is possible to understand how they work. Compile C/C++ programs that launch OpenCL kernels.This tutorial is based on the following content from the Internet: Tutorial: Simple start with OpenCL and C++.Getting started with OpenCL and GPU Computing, Feb. Mattson, T., McIntosh-Smith, S., Koniges, A.
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