Description of fast matrix multiplication algorithm: ⟨20×32×32:10920⟩

Algorithm type

8⁢X16⁢Y16⁢Z8+25⁢X8⁢Y16⁢Z8+5⁢X8⁢Y12⁢Z12+4⁢X8⁢Y8⁢Z16+8⁢X16⁢Y8⁢Z4+21⁢X8⁢Y16⁢Z4+26⁢X8⁢Y12⁢Z8+2⁢X8⁢Y8⁢Z12+2⁢X8⁢Y4⁢Z16+5⁢X4⁢Y16⁢Z8+12⁢X4⁢Y18⁢Z4+5⁢X12⁢Y8⁢Z4+7⁢X8⁢Y12⁢Z4+49⁢X8⁢Y8⁢Z8+5⁢X8⁢Y4⁢Z12+4⁢X4⁢Y18⁢Z2+60⁢X4⁢Y16⁢Z4+2⁢X4⁢Y14⁢Z6+10⁢X4⁢Y12⁢Z8+12⁢X4⁢Y8⁢Z12+5⁢X4⁢Y16⁢Z2+17⁢X4⁢Y14⁢Z4+2⁢X4⁢Y12⁢Z6+16⁢X2⁢Y18⁢Z2+5⁢X2⁢Y16⁢Z4+7⁢X12⁢Y4⁢Z4+50⁢X8⁢Y8⁢Z4+14⁢X8⁢Y4⁢Z8+5⁢X4⁢Y14⁢Z2+71⁢X4⁢Y12⁢Z4+3⁢X4⁢Y10⁢Z6+10⁢X4⁢Y8⁢Z8+35⁢X2⁢Y16⁢Z2+4⁢X2⁢Y14⁢Z4+4⁢X2⁢Y12⁢Z6+16⁢X8⁢Y8⁢Z2+21⁢X4⁢Y10⁢Z4+7⁢X4⁢Y8⁢Z6+5⁢X4⁢Y6⁢Z8+26⁢X2⁢Y14⁢Z2+13⁢X2⁢Y12⁢Z4+10⁢X8⁢Y4⁢Z4+5⁢X6⁢Y8⁢Z2+6⁢X4⁢Y10⁢Z2+260⁢X4⁢Y8⁢Z4+34⁢X4⁢Y6⁢Z6+24⁢X4⁢Y4⁢Z8+33⁢X2⁢Y12⁢Z2+6⁢X2⁢Y10⁢Z4+16⁢X2⁢Y8⁢Z6+48⁢X8⁢Y4⁢Z2+9⁢X6⁢Y6⁢Z2+134⁢X4⁢Y8⁢Z2+222⁢X4⁢Y6⁢Z4+20⁢X4⁢Y4⁢Z6+24⁢X4⁢Y2⁢Z8+33⁢X2⁢Y10⁢Z2+36⁢X2⁢Y8⁢Z4+72⁢X2⁢Y9⁢Z2+30⁢X6⁢Y4⁢Z2+66⁢X4⁢Y6⁢Z2+413⁢X4⁢Y4⁢Z4+40⁢X4⁢Y2⁢Z6+24⁢X2⁢Y9⁢Z+426⁢X2⁢Y8⁢Z2+12⁢X2⁢Y7⁢Z3+60⁢X2⁢Y6⁢Z4+88⁢X2⁢Y4⁢Z6+30⁢X2⁢Y8⁢Z+102⁢X2⁢Y7⁢Z2+12⁢X2⁢Y6⁢Z3+96⁢X⁢Y9⁢Z+30⁢X⁢Y8⁢Z2+64⁢X6⁢Y2⁢Z2+12⁢X4⁢Y4⁢Z2+128⁢X4⁢Y2⁢Z4+30⁢X2⁢Y7⁢Z+535⁢X2⁢Y6⁢Z2+18⁢X2⁢Y5⁢Z3+98⁢X2⁢Y4⁢Z4+210⁢X⁢Y8⁢Z+24⁢X⁢Y7⁢Z2+24⁢X⁢Y6⁢Z3+96⁢X4⁢Y4⁢Z+126⁢X2⁢Y5⁢Z2+42⁢X2⁢Y4⁢Z3+30⁢X2⁢Y3⁢Z4+156⁢X⁢Y7⁢Z+78⁢X⁢Y6⁢Z2+80⁢X4⁢Y2⁢Z2+30⁢X3⁢Y4⁢Z+36⁢X2⁢Y5⁢Z+750⁢X2⁢Y4⁢Z2+24⁢X2⁢Y3⁢Z3+198⁢X⁢Y6⁢Z+36⁢X⁢Y5⁢Z2+96⁢X⁢Y4⁢Z3+54⁢X3⁢Y3⁢Z+48⁢X2⁢Y4⁢Z+396⁢X2⁢Y3⁢Z2+48⁢X2⁢Y2⁢Z3+72⁢X2⁢Y⁢Z4+198⁢X⁢Y5⁢Z+36⁢X⁢Y4⁢Z2+144⁢X2⁢Y3⁢Z+824⁢X2⁢Y2⁢Z2+60⁢X2⁢Y⁢Z3+396⁢X⁢Y4⁢Z+96⁢X⁢Y2⁢Z3+132⁢X3⁢Y⁢Z+264⁢X2⁢Y⁢Z2+654⁢X⁢Y3⁢Z+228⁢X⁢Y2⁢Z2+120⁢X2⁢Y⁢Z+540⁢X⁢Y2⁢Z+660⁢X⁢Y⁢Z8X16Y16Z825X8Y16Z85X8Y12Z124X8Y8Z168X16Y8Z421X8Y16Z426X8Y12Z82X8Y8Z122X8Y4Z165X4Y16Z812X4Y18Z45X12Y8Z47X8Y12Z449X8Y8Z85X8Y4Z124X4Y18Z260X4Y16Z42X4Y14Z610X4Y12Z812X4Y8Z125X4Y16Z217X4Y14Z42X4Y12Z616X2Y18Z25X2Y16Z47X12Y4Z450X8Y8Z414X8Y4Z85X4Y14Z271X4Y12Z43X4Y10Z610X4Y8Z835X2Y16Z24X2Y14Z44X2Y12Z616X8Y8Z221X4Y10Z47X4Y8Z65X4Y6Z826X2Y14Z213X2Y12Z410X8Y4Z45X6Y8Z26X4Y10Z2260X4Y8Z434X4Y6Z624X4Y4Z833X2Y12Z26X2Y10Z416X2Y8Z648X8Y4Z29X6Y6Z2134X4Y8Z2222X4Y6Z420X4Y4Z624X4Y2Z833X2Y10Z236X2Y8Z472X2Y9Z230X6Y4Z266X4Y6Z2413X4Y4Z440X4Y2Z624X2Y9Z426X2Y8Z212X2Y7Z360X2Y6Z488X2Y4Z630X2Y8Z102X2Y7Z212X2Y6Z396XY9Z30XY8Z264X6Y2Z212X4Y4Z2128X4Y2Z430X2Y7Z535X2Y6Z218X2Y5Z398X2Y4Z4210XY8Z24XY7Z224XY6Z396X4Y4Z126X2Y5Z242X2Y4Z330X2Y3Z4156XY7Z78XY6Z280X4Y2Z230X3Y4Z36X2Y5Z750X2Y4Z224X2Y3Z3198XY6Z36XY5Z296XY4Z354X3Y3Z48X2Y4Z396X2Y3Z248X2Y2Z372X2YZ4198XY5Z36XY4Z2144X2Y3Z824X2Y2Z260X2YZ3396XY4Z96XY2Z3132X3YZ264X2YZ2654XY3Z228XY2Z2120X2YZ540XY2Z660XYZ8*X^16*Y^16*Z^8+25*X^8*Y^16*Z^8+5*X^8*Y^12*Z^12+4*X^8*Y^8*Z^16+8*X^16*Y^8*Z^4+21*X^8*Y^16*Z^4+26*X^8*Y^12*Z^8+2*X^8*Y^8*Z^12+2*X^8*Y^4*Z^16+5*X^4*Y^16*Z^8+12*X^4*Y^18*Z^4+5*X^12*Y^8*Z^4+7*X^8*Y^12*Z^4+49*X^8*Y^8*Z^8+5*X^8*Y^4*Z^12+4*X^4*Y^18*Z^2+60*X^4*Y^16*Z^4+2*X^4*Y^14*Z^6+10*X^4*Y^12*Z^8+12*X^4*Y^8*Z^12+5*X^4*Y^16*Z^2+17*X^4*Y^14*Z^4+2*X^4*Y^12*Z^6+16*X^2*Y^18*Z^2+5*X^2*Y^16*Z^4+7*X^12*Y^4*Z^4+50*X^8*Y^8*Z^4+14*X^8*Y^4*Z^8+5*X^4*Y^14*Z^2+71*X^4*Y^12*Z^4+3*X^4*Y^10*Z^6+10*X^4*Y^8*Z^8+35*X^2*Y^16*Z^2+4*X^2*Y^14*Z^4+4*X^2*Y^12*Z^6+16*X^8*Y^8*Z^2+21*X^4*Y^10*Z^4+7*X^4*Y^8*Z^6+5*X^4*Y^6*Z^8+26*X^2*Y^14*Z^2+13*X^2*Y^12*Z^4+10*X^8*Y^4*Z^4+5*X^6*Y^8*Z^2+6*X^4*Y^10*Z^2+260*X^4*Y^8*Z^4+34*X^4*Y^6*Z^6+24*X^4*Y^4*Z^8+33*X^2*Y^12*Z^2+6*X^2*Y^10*Z^4+16*X^2*Y^8*Z^6+48*X^8*Y^4*Z^2+9*X^6*Y^6*Z^2+134*X^4*Y^8*Z^2+222*X^4*Y^6*Z^4+20*X^4*Y^4*Z^6+24*X^4*Y^2*Z^8+33*X^2*Y^10*Z^2+36*X^2*Y^8*Z^4+72*X^2*Y^9*Z^2+30*X^6*Y^4*Z^2+66*X^4*Y^6*Z^2+413*X^4*Y^4*Z^4+40*X^4*Y^2*Z^6+24*X^2*Y^9*Z+426*X^2*Y^8*Z^2+12*X^2*Y^7*Z^3+60*X^2*Y^6*Z^4+88*X^2*Y^4*Z^6+30*X^2*Y^8*Z+102*X^2*Y^7*Z^2+12*X^2*Y^6*Z^3+96*X*Y^9*Z+30*X*Y^8*Z^2+64*X^6*Y^2*Z^2+12*X^4*Y^4*Z^2+128*X^4*Y^2*Z^4+30*X^2*Y^7*Z+535*X^2*Y^6*Z^2+18*X^2*Y^5*Z^3+98*X^2*Y^4*Z^4+210*X*Y^8*Z+24*X*Y^7*Z^2+24*X*Y^6*Z^3+96*X^4*Y^4*Z+126*X^2*Y^5*Z^2+42*X^2*Y^4*Z^3+30*X^2*Y^3*Z^4+156*X*Y^7*Z+78*X*Y^6*Z^2+80*X^4*Y^2*Z^2+30*X^3*Y^4*Z+36*X^2*Y^5*Z+750*X^2*Y^4*Z^2+24*X^2*Y^3*Z^3+198*X*Y^6*Z+36*X*Y^5*Z^2+96*X*Y^4*Z^3+54*X^3*Y^3*Z+48*X^2*Y^4*Z+396*X^2*Y^3*Z^2+48*X^2*Y^2*Z^3+72*X^2*Y*Z^4+198*X*Y^5*Z+36*X*Y^4*Z^2+144*X^2*Y^3*Z+824*X^2*Y^2*Z^2+60*X^2*Y*Z^3+396*X*Y^4*Z+96*X*Y^2*Z^3+132*X^3*Y*Z+264*X^2*Y*Z^2+654*X*Y^3*Z+228*X*Y^2*Z^2+120*X^2*Y*Z+540*X*Y^2*Z+660*X*Y*Z

Algorithm definition

The algorithm ⟨20×32×32:10920⟩ is the (Kronecker) tensor product of ⟨2×2×2:7⟩ with ⟨10×16×16:1560⟩.

Algorithm description

These encodings are given in compressed text format using the maple computer algebra system. In each cases, the last line could be understood as a description of the encoding with respect to classical matrix multiplication algorithm. As these outputs are structured, one can construct easily a parser to its favorite format using the maple documentation without this software.


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