hkaiser changed the topic of #ste||ar to: STE||AR: Systems Technology, Emergent Parallelism, and Algorithm Research | stellar-group.org | HPX: A cure for performance impaired parallel applications | github.com/STEllAR-GROUP/hpx | This channel is logged: irclog.cct.lsu.edu
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<Yorlik>
hkaiser: YT?
<Yorlik>
Does HPX have built-in directives to automatically use accelerator cards for SIMD operations? I need to implement a simple physics engine for our project and would like to design it from start to exploit any hardware acceleration we might use.
<hkaiser>
simd doesn't need an accelerator card
<hkaiser>
but yes, we have the simd and par_simd execution policies that are implemented for a couple of algorithms
<hkaiser>
for plain simd (no algorithms) I'd suggest you use explicit vectorization using special c++ data types, as exposed by Vc, std::experimental::simd (gcc/clang only), or Eve
<srinivasyadav227>
why `get_function_annotation` is using `transform_reduce_iteration` ?
<Yorlik>
hkaiser: Thanks!
<hkaiser>
srinivasyadav227: sure
<hkaiser>
srinivasyadav227: we have support in the core that can associate a name with a function/function object
<hkaiser>
but since the algorithms often deal with functions/object embedded inside other functions, the name extraction has to delecate to the embedded object in order to produce meaningful results
<hkaiser>
the traits you linked do that
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<gonidelis[m]>
hkaiser: yt?
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<K-ballo>
never heard of nim before today
<hkaiser>
K-ballo: I did hear of it, but never used it