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Can traditional programming bridge the Ninja performance gap for parallel computing applications?
2012
SIGARCH Computer Architecture News
Current processor trends of integrating more cores with wider SIMD units, along with a deeper and complex memory hierarchy, have made it increasingly more challenging to extract performance from applications. It is believed by some that traditional approaches to programming do not apply to these modern processors and hence radical new languages must be discovered. In this paper, we question this thinking and offer evidence in support of traditional programming methods and the
doi:10.1145/2366231.2337210
fatcat:dljosjl2arhrhm3dlgpcm4rome