I've been working on a SparseRealVector that implements RealVector but is
backed by OpenIntToDoubleHashMap. Unlike SparseRealMatrix, the goal is more
speed than space. Mostly it is going well, but running into a few problems
where some RealVector methods are almost nonsensical for sparse vecto
Hi Russel,
> At the heart of all the problems is shared memory. Perhaps it is worth
> challenging the use of shared memory models for application programming;
> perhaps it is worth building new APIs that avoid shared memory in order
> to make application that exploit parallelism easier for the a
The suggestion of Russel goes far beyond what I had originally imagined
(and also beyond my expertise). This is surely out of scope for [lang].
My intension was to start with something smaller, which would certainly
not be revolutionary, but could somewhat simplify the life of users of
the jav
To whom it may engage...
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