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    <p>There is pressure to make Erlang execute numeric code faster. The HiPe compiler compiles to native code instead of the BEAM bytecode for example, and it probably has its most effective optimization on code on floating points where it can avoid boxing. This is very beneficial for floating point code, since it can store values directly in FPU registers.</p> <p>For the majority of Erlang usage, Erlang is plenty fast as it is. They use Erlang to write always-up control systems where the most important speed measurement that matters is low latency responses. Performance under load tends to be IO-bound. These users tend to stay away from HiPe since it is not as flexible/malleable in debugging live systems.</p> <p>Now that servers with 128Gb of RAM are not that uncommon, and there's no reason they'll get even more memory, some IO-bound problems might shift over to be somewhat CPU bound. That could be a driver.</p> <p>You should follow HiPe for the development.</p> <hr> <p>Your examples of image manipulations and matrix multiplications seem to me as very bad matches for Erlang though. Those are examples that benefit from vector/SIMD operations. Erlang is not good at parallellism (where one does the same thing to multiple values at once). </p> <p>Erlang processes are MIMD, multiple instructions multiple data. Erlang does lots of branching behind pattern matching and recursive loops. That kills CPU instruction pipelining.</p> <p>The best architecture for heavily parallellised problems are the GPUs. For programming GPUs in a functional language I see the best potential in using Haskell for creating programs targeting them. A GPU is basically a pure function from input data to output data. See the <a href="http://www.cs.chalmers.se/~koen/Lava/papers.html" rel="noreferrer">Lava</a> project in Haskell for creating FPGA circuits, if it is possible to create circuits so cleanly in Haskell, it can't be harder to create program data for GPUs.</p> <p>The Cell architecture is very nice for vectorizable problems as well.</p>
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    1. POWhen does Erlang's parallelism overcome its weaknesses in numeric computing?
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    1. COIt's quite interesting that you say "Erlang is not good at parallellism (where one does the same thing to multiple values at once)", which I also think is correct - yet the link in the previous answer tells how good Erlang is because of being able to do the same thing to multiple values in parallel (checking if the value is less than a constant).
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