Be aware that there's a funding treadmill to jobs at national agencies. If your current president goes off to a protracted and expensive war, you just may find your funding getting rather thin.
...Hell, the group I work for has been trying to hire a DBA for 6 months. Every time we think we've found one (after interviewing a bunch of unqualified people) they get a better offer from somebody else.
The statement "We can't find anyone!" should always have an appended "for what we're willing to pay".
My experience with data flow is LabVIEW. As a language designed to handle simultaneous slow hardware communication and fast dataset processing, it's a natural for multi-threading.
Parallelization is automated within the compiler based on program structure. The compiler's not all that great at it (limited to 5 explicit threads plus whatever internal tweaking is done), but... the actual writing of the code is just damn easy.
Not to excuse the LabVIEW compiler: closed architecture, tight binding to the IDE, strong typing that's really painful, memory copies everywhere. But the overall model for dataflow is just superior for parallel applications. It's unfortunate that there seems to be little alternative out there with similar support for data flow, but more overall utility.
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Be aware that there's a funding treadmill to jobs at national agencies. If your current president goes off to a protracted and expensive war, you just may find your funding getting rather thin.
...Hell, the group I work for has been trying to hire a DBA for 6 months. Every time we think we've found one (after interviewing a bunch of unqualified people) they get a better offer from somebody else.
The statement "We can't find anyone!" should always have an appended "for what we're willing to pay".
My experience with data flow is LabVIEW. As a language designed to handle simultaneous slow hardware communication and fast dataset processing, it's a natural for multi-threading. Parallelization is automated within the compiler based on program structure. The compiler's not all that great at it (limited to 5 explicit threads plus whatever internal tweaking is done), but... the actual writing of the code is just damn easy. Not to excuse the LabVIEW compiler: closed architecture, tight binding to the IDE, strong typing that's really painful, memory copies everywhere. But the overall model for dataflow is just superior for parallel applications. It's unfortunate that there seems to be little alternative out there with similar support for data flow, but more overall utility.