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Hi Marat -- Looks like a great approach! Do you have thoughts on how this could be extended to work with Xeon Phi and graphics coprocessors? The particular g

by nkurz 11y ago

Hi Marat -- Looks like a great approach! Do you have thoughts on how this could be extended to work with Xeon Phi and graphics coprocessors? The particular grail I'm searching for would do what you have done, but also allow some operations to be offloaded. Also, I see you have some preliminary R bindings: https://bitbucket.org/MDukhan/yeppp/src/7830144789416f9fbed3998a4c711147533cb546/bindings/R/?at=default https://bitbucket.org/MDukhan/yeppp/src/7830144789416f9fbed3... Are these thought to be working?

Marat_Dukhan 11y ago
Yeppp! supports Xeon Phi, and includes binaries for it, albeit without hand-tuned kernels. Support for GPUs is unlikely: Yeppp! is a single-threaded library by design, and GPUs programming models are intrinsically multi-threaded. The R bindings are working and do provide speedup, but they are in no way of release quality. The officially supported bindings (.Net, JVM, and FORTRAN) are auto-generated. Additionally, Julia team maintains Yeppp.jl - bindings for Julia (https://github.com/JuliaLang/Yeppp.jl https://github.com/JuliaLang/Yeppp.jl)