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| Nathan Halliday is joined the program as a high school student studying at Hills Road College, Cambridge, UK. Following his internship experience with HPCC Systems, Nathan has now moved on to study Mathematics at St Annes College, University of Oxforduniversity.
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Poster Abstract
The ECL language is centred centered around high performance. HPCC Systems focuses on parallelism to enable highly optimised optimized dataset operations.
The parallel workflow engine increases the scope of parallel processing from within activity graphs to the entire workflow. The goal is to make workunits faster but maintain the existing behaviour behavior of the sequential engine.
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The parallel workflow algorithm is planned to become default in HPCC Systems version 7.12.0 It is beneficial for all ECL programmers and the speedup is achieved without altering the language functionality. For production systems, money will be saved, by providing the clusters with more work sooner. For cloud environments, additional resources can be added dynamically, to maximise maximize the benefits of the faster processing.
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