Intel® threading building blocks

By C. Pheatt. Journal of Computing Sciences in Colleges (JCSC; Formerly: Journal of Computing in Small Colleges), 2008

1,105 citations recorded by the source corpus.

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Guiding of smoke animations through variational coupling of simulations at different resolutions (2009, methodology): “Wehavetaken the approach of parallelizing the individual components of our multigrid solver such as the relaxation and matrix-vector multiplication using Intel Thread Building Blocks[Rei07].”
The deal.II Library, Version 9.5 (2023, positive): “…– MUMPS [4, 3] – muparser [60] – OpenCASCADE [61] – p4est [22, 21] – PETSc [11, 12] – ROL [66] – ScaLAPACK [17] – SLEPc [40] – SUNDIALS [42] – SymEngine [69] – TBB [65] – Trilinos [41, 72] – UMFPACK [27] Please consider citing the appropriate references if you use interfaces to these libraries.”
Recent developments in GEANT4 (2016, positive): “The planned removal of this restriction will achieve better integration with external parallelization frameworks such as Intel Threading Building Blocks (TBB) [9].”
Kokkos: Enabling manycore performance portability through polymorphic memory access patterns (2014, neutral): “Finally, we outline a strategy for legacy C codes to migrate to manycore devices.”
The Design of OpenMP Tasks (2009, background): “Both TBB and TPL offer a task model similar to our proposal.”
JUNO physics and detector (2021, methodology): “SNiPER uses Threading Building Blocks (TBB) [198] to execute algorithms on multiple CPU threads in parallel.”