Publications

@inproceedings{franchiniDualcoreCoprocessorNative2012,

title = {A Dual-Core Coprocessor with Native 4D Clifford Algebra Support},

author = { Silvia Franchini and Antonio Gentile and Filippo Sorbello and Giorgio Vassallo and Salvatore Vitabile},

doi = {10.1109/DSD.2012.2},

isbn = {978-0-7695-4798-5},

year  = {2012},

date = {2012-01-01},

pages = {419--422},

abstract = {Geometric or Clifford Algebra (CA) is a powerful mathematical tool that is attracting a growing attention in many research fields such as computer graphics, computer vision, robotics and medical imaging for its natural and intuitive way to represent geometric objects and their transformations. This paper introduces the architecture of CliffordCoreDuo, an embedded dual-core coprocessor that offers direct hardware support to four-dimensional (4D) Clifford algebra operations. A prototype implementation on an FPGA board is detailed. Experimental results show a 1.6x average speedup of CliffordCoreDuo in comparison with the baseline mono-core architecture. A potential cycle speedup of about 40x over Gaigen 2, a geometric algebra software library generator for general-purpose processors, is also demonstrated. textcopyright 2012 IEEE.},

keywords = {Clifford algebra, Embedded coprocessors, Field Programmable Gate Arrays, FPGA prototyping, Geometric algebra, Medical Imaging, multi-core architectures},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{franchini_dual-core_2012,

title = {A dual-core coprocessor with native 4D Clifford algebra support},

author = {Silvia Franchini and Antonio Gentile and Filippo Sorbello and Giorgio Vassallo and Salvatore Vitabile},

doi = {10.1109/DSD.2012.2},

isbn = {978-0-7695-4798-5},

year  = {2012},

date = {2012-01-01},

pages = {419–422},

abstract = {Geometric or Clifford Algebra (CA) is a powerful mathematical tool that is attracting a growing attention in many research fields such as computer graphics, computer vision, robotics and medical imaging for its natural and intuitive way to represent geometric objects and their transformations. This paper introduces the architecture of CliffordCoreDuo, an embedded dual-core coprocessor that offers direct hardware support to four-dimensional (4D) Clifford algebra operations. A prototype implementation on an FPGA board is detailed. Experimental results show a 1.6x average speedup of CliffordCoreDuo in comparison with the baseline mono-core architecture. A potential cycle speedup of about 40x over Gaigen 2, a geometric algebra software library generator for general-purpose processors, is also demonstrated. © 2012 IEEE.},

keywords = {Clifford algebra, Embedded coprocessors, Field Programmable Gate Arrays, FPGA prototyping, Geometric algebra, Medical Imaging, multi-core architectures},

pubstate = {published},

tppubtype = {inproceedings}

}