From a846d295faab229a07b3477e872dd6c8a2edbd47 Mon Sep 17 00:00:00 2001 From: Max Andriychuk Date: Tue, 12 Nov 2024 14:42:05 +0100 Subject: [PATCH] Add MODE presentation --- _data/preslist.yml | 28 ++++++++++++++++++ ...ksym_Andriichuk_MODE2024_Optimizations.pdf | Bin 0 -> 1973393 bytes 2 files changed, 28 insertions(+) create mode 100644 assets/presentations/Maksym_Andriichuk_MODE2024_Optimizations.pdf diff --git a/_data/preslist.yml b/_data/preslist.yml index f956dfc..42c5cf9 100644 --- a/_data/preslist.yml +++ b/_data/preslist.yml @@ -1,3 +1,31 @@ +- title: "Advanced optimizations for source transformation based + automatic differentiation" + description: | + Clad is a LLVM/Clang plugin designed to provide automatic differentiation (AD) + for C++ mathematical functions. It generates code for computing derivatives modifying + abstract syntax tree using LLVM compiler features. Clad supports forward- and + reverse-mode differentiation that are effectively used to integrate all kinds of + functions. The typical AD approach in Machine Learning tools records and flattens the + compute graph at runtime, whereas Clad can perform more advanced optimizations at + compile time using a rich program representation provided by the Clang AST. These + optimizations investigate which parts of the computation graph are relevant to + the AD rules. + + One such technique is the “To-Be-Recorded” optimization, which reduces + the memory pressure to the clad tape data structure in the adjoint mode. Another + optimization technique is activity analysis, which discards all derivative + statements that are not relevant to the generated code. In the talk we will explain + compiler-level optimizations specific to AD, and will show some specific examples + of how these analyses have impacted clad applications. + + location: "[MODE 2024](https://indico.cern.ch/event/1380163/)" + date: 2024-09-25 + speaker: Maksym Andriichuk + id: "VVMODE2024" + artifacts: | + [Link to Slides](/assets/presentations/Maksym_Andriichuk_MODE2024_Optimizations.pdf) + highlight: 1 + - title: "Improving BioDynamo's Performance using ROOT C++ Modules" description: | Poster presented at the FOURTH Mode Workshop on Differentiable Programming for Experiment Design diff --git a/assets/presentations/Maksym_Andriichuk_MODE2024_Optimizations.pdf b/assets/presentations/Maksym_Andriichuk_MODE2024_Optimizations.pdf new file mode 100644 index 0000000000000000000000000000000000000000..ed261b8d4f8a7e20b88d42ed999a81462a6df7cc GIT binary patch literal 1973393 zcmb5U1yCGK*EWnh1b127WpN4a?iKseNqXW^9b(1}b+8 z7T@3x!iy1Na9aSYL%_IeKe>H?yLRHLpquA~?b_WWirc`-QZJ>Aq4TGUjsE@fr&-jl zr!8ooj$fgx?I*)Q4#?3XbP*DjhCUQKSetdM7DdkJNwQ_CGXZQ#qcRpl50^mLoLizN zy|ysLj4w5_%zvS^+;5LBRZ>mg9-m+~HjlTg-G-vz%W_tozP)8OnYvnh*PEZxsJUDD zqPGXz=;~&1x#8Oa`8Go6L+fqJ_$-a~Y0pjZbio$bp-#L~zwwN!@r>Z!{pU|#D%T;t zmgei+XRS%=N35CLEpEvLXt8jY5E$gVKS9zGK}EmgT_mXFCD3ybbPyHO^MeqZLT@i5 z$wb-6-DH z$>n_cf}b6}<8GE$%E*j50<19#V`#MEavro+xat$wUQ-;~6O!IS7^$Efk)q-fBRju@ zZ#$~H{@MLvKs_ZM3t`O7l6{q{9ZujPBQ>(x`JyogCg-oiuUe>V505&t z*LosM4ht{zc6J0j%$CjK`g{~&C@Stuok$ZIQ;;#LLBH)x{Fz09AeX&2?*#3|W|u{n zXFr}Edsa>pDvv%w9GV+E<;J`( zw05WAYz@Q9f04C(GSm~79f;9*9wf8zCY$FI+Xf<(>Gh84Q?(3dBY-i4G2=2<_?UsC zGn*cf4eOW^fK|iP!v(-9Yx`kZ>_2z$|J-E(`T$mO zdmDQvbq7OZQ@}r1B<>6ZaQ$QWL;VLLefaXPZVe3}fcxM6XlSqlc>dM=M?y#0$ja3C z-$JssKmhN*g=B5n0et^$av%Z!ab4{L$o|2y|2X}R5ndNdGgKe+BVxnU5G)RZKr} z?BL>RXaitXS2T3C1_1vv0b-Ue&L5-V_O=f8cK=Mwhn0VW?}ytQ9NhoU`20UH`Ai=% z3HNu?Io9y7{I!yk&#*Tu-vt$Il&31-JOh6R6NC&IXh;$#36mNjk1ZkD&&$pPxkE^q z*;k7~(NB?C|A|F)2M%Ag@H>nsER0zw24w0(*YT>pzOVJsx&QvVIonOH5JyXez2;im z-Cb2%lZ&?j$18|P(^uN_Zs~fy6%5khsQ%-NktyTkuItKCr52?V77GW_?MMkx%GH`s zo00$uxge2VmVG6>yCV~gKTKj3qdW-ro6;tMFb>Vk=9;t^dXUsw9Bruras z5PPhBTGE!Oslf+H3!Sk=7nW#-D>bI#oV|V}I4XXRzp2AZ#q-V;PE&%3lNpR$hom9`YZGEcqhARH5{yz=eeR!;nMF)ZI^^L?ry zKYNPrPw&l(OPhJCso+Ix-^^K`M2@Kc#Hq~tJe(`uT;Q&>J`d2+luEAotGEtGgyb>!N(EQGioL5L=y4+PR=+ncuA(Y`$>ELgVtqh`Ny$wIM=2#wv znvhy)T*JJW3Rt?2<5USTj{22qi6Bo!G^0uF8#980yRM$cksy?lngv!#x1U!IkgxtShnM+PD_yXefJg!MS#gIPO~#w`d~8m(=&qFgC2(7`ti%OF(u-P zR+9Ak9Xr1OlW~lne$Y^Fm|!cQjoBhX9W|?R1FG(xsp~;ON{#5oqLoBKV4IEBiMkXQ z8iK12RLWqUGHaA3DxI8|S#FY4eQ$t?ocy2W-bd5U=p8ptJQ(>j9rR*YG*o~|+HI=! zd_9sft=LuQHCGN+r1WjgP_e)Qc`A)mPd!sfagkrge0Wp2*-t{ap-O<^iw5Ott9})$ zd>S06)|)9=U`a!2=8>wR0Ev$ObaGykAbJbf4{I@x3>3*@^9rO)BP0TV5hq{`8!+{c$7pp1TBn>5Z(aH;X&Sxfb7?L~N zO1<-~0-VSk+BPN2DEw(NUa%i(uUsL46xK+#atJ%eQEglogX=7LCS~2$ZF8Ju z#1JZoZV^>7DYFXzK4Od3AbCGE_xYOrT0Y0M6Jr<~&Coy)*#)czkHF8vS;BXgRuAwm5P++aVRnlI+e4AVdfEo{1Mq2_ zr>yMgnpv2S9dZXEGSMlA3$FUA?z1f(c@-GL^Yw-XAG-7@C(#ZzOu6O;>2NWXTc)S) zPhcUx28kTM&iI#Um-#whe7ofoX2`8ovBqD86L>gMi{N z4}zZ5xq3(TKh_Ua-WXj#K3+eXq;0BW3i@d*v+7n@i@%DMQQn=BLDdJBP^+-MMWIR9 zAHGYEJd;~55np8UgB}LOigq)pB7{e;hr! z*FRY|O%a(!SAj4Z80@7~X4)wS^$KUqsuZYQv$*)S$sYi^KmrySjA?OF#mHkWw$z_C^GR zGpdao0+8wcEjDTcPYqPbD_iIv*G9@PU^H3H6NQLavPB%u+xGnyq?w&>e=gddf+pnl zh*5ZcEa+Z6o^UG6BZvzq%fesG<&8v)s$hE=NWMyDb+#)XZg`LM_;Ijy-^M41 zI@b{MK19m@WFb>=T@I)aeLeWPauF~8EHqQI7`?^Al3*FAP(;l^B!~SPR&2`da^dnW zn*vG_t*5#{;0{G6P%u`Y;=ov*PQxWiN0LiB!0T#o$eq<-oAC>#Ulk$I#0oaIbGo@MCZgwc?Nd*^&H2J^F)^<_)_olLx4YfO0Fecm5dJpZ zceU1(Jy$PuEESdjC~Liu01pG<8Ki2%7mze>BB5jLyPJ#oWe9*J)6hBJ|5LV{}_K9Ls0mZH=zeTI+JrCNZ_{kHBJrp#57e3o^BHc(;$<@gMqlz@3+Ob*w(Gv6E!(Hxsqm zFI>eUOjpVXb5SJmff|3l1;9J7IM7HFy~3r;oi1dH0fD9oLw??8N`}ihnmm0MVLP4^ zic&)@`0eDks)7lA@@XCX*mncAQD2PQJ+1s!mn#k;1JC5zMxVcl>a>E&w_M5Zm$-h1 z%vDz@kEvLo!f$`W)y~%5ms>)ssW|VMGS&+@s^OtUa1qrj-$Dwp-5Zsk(k;_Oy(ew< zRfng`SPH9?B$oMAs7#7?C%G%cpo~2fbfy=+la>Tmerkt(2md-po_xi!cC;)JTK5kJ zG6J`2MNUR6P_8*|Z5w_dLSekNa#-kNnCD6Y7C8Kw|3eo&fi zbI)3t&2<_WD6BA?Qs5pNCK@x&Y}}t-N#@lHYqE5104W&blZ%V3)=Df;JNoq1E28js zFbGz$MQ7XuNg6Kv(b+6)ywp8!_r5O~w}gDqwMY(hS1#Rp~U_M-1(<`kSVWDZ!of&q~!jRM}b}B7jzF8p@y z*+wI_)9BuLWuGJXoh82xAz*;Uz+b)ki(|7I^sFtued~DP_UIC+VUvWE{BO+ZFW_$&jDs}(9kb1f=ZAICK93K?39c2OHH9Aez$7Bl|1mR ztUh!n30BPz-GE3x?; zoYuWno5L1ehf#Q2c+qB@f+Wey>Y!H^tR+f!^dR)~GIY%UaA$Vdr?BpFsb_t1h$%jz zd-1VeEPO6=*L`bREu+IIosnVMFNM4mxRRJ3FIVYKtg3Gf9OZDOAn=w|pIztFC*afyfOPae?D{ zh#p|5|zYIt9vc%J1a`7>rzCjBpjJ8BX5DqNb?BcH2%;W4kY$ z$9=RT;v%z#HjVnas^z0tWl>T>^~^7psN(JmZ5p;()7x)vwkw~VWiP@)QFXm;;)?f- zQQ&g!G+7Y*P;5BWZ@shD-x&#ay_CQ7k$szvO!ymb{tPAyr2GY?JVwQMrD?djR* z&AUMse?rqQae9)s`k3XMUY}y4Q7AAOqcK5PJpL^vKpW$*oA0EB)0FJ=1UeY9>zZRT zM4FZ&ia0JZtnlGE0lL7VErSE-DbFrKr^;a zW`*B+*WrK&zGJWH)arFkXoT4R2f-YELE4CIplw#`a=Wo$eqFz3ptEB7=l3z;;#~(T z7(&IICK1>Y7i>Y8M)pZ#jl8NreCNbMj5}irRrKqAwTR;|VG*(1CGveKU^Lwz9U=uZ zMv@j=%uTv8|J9onB7Snu*KKtHq0R$P?4)<~x?U)C@~1FXFGwl1>Y=i+JnK)sZ=hrT zT&%HP*HOk^g&oQ?+E0|@12df%gtRvNRgZ>C;QIrmu1f#k$9pxS^;CqSD!#w2N+k() zDhp@SxOv!Yz)Summu7+B=x^GFnifeIltz@S=uA}FV2rD!OUx~_`W$3

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