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- W1993445765 abstract "Many applications in signal processing, control, and graphics on embedded devices require efficient linear algebra computations. On general-purpose computers, program generators have proven useful to produce such code, or important building blocks, automatically. An example is LGen, a compiler for basic linear algebra computations of fixed size. In this work, we extend LGen towards the embedded domain using as example targets Intel Atom, ARM Cortex-A8, ARM Cortex-A9, and ARM1176 (Raspberry Pi). To efficiently support these processors we introduce support for the NEON vector ISA and a methodology for domain-specific load/store optimizations. Our experimental evaluation shows that the new version of LGen produces code that performs in many cases considerably better than well-established, commercial and non-commercial libraries (Intel MKL and IPP), software generators (Eigen and ATLAS), and compilers (icc, gcc, and clang)." @default.
- W1993445765 created "2016-06-24" @default.
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- W1993445765 date "2015-03-09" @default.
- W1993445765 modified "2023-09-26" @default.
- W1993445765 title "A basic linear algebra compiler for embedded processors" @default.
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- W1993445765 doi "https://doi.org/10.5555/2755753.2757058" @default.
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