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.