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Condensing an overload of parallel computing ingredients into a single architecture recipe

Riadh Ben Abdelhamid, Yoshiki Yamguchi and Taisuke Boku

University of Tsukuba, Japan


General-purpose processors offer the best programming flexibility to address a wide range of problems. Nonetheless, they still lack behind special-purpose processors when it comes to sustained computational performance. Here, we leverage the best from both worlds and we propose a flexible, highly scalable, high-performance computing architecture with versatility in mind. The proposed architecture code-named DRAGON, benefits from several forms of parallelism such as SIMD, VLIW, Memory Broadcasting and even vector processing.


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