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document was published isbn Text external ISBN for the publication in which the document was published doi Text external Digital Object Identifier for the document url URL external URL at which the document can be found byteCount Integer internal Approximate file size in octets pageCount Integer internal Number of
from the top result below
https://arxiv.org/pdf/2608.02122
) /Title (DEFT: Joint Task Placement and DVFS for Energy-Efficient Multi-GPU Runtimes) /Trapped /False /arXivID (https://arxiv
https://arxiv.org/pdf/2407.00125
document was published isbn Text external ISBN for the publication in which the document was published doi Text external Digital Object Identifier for the document url URL external URL at which the document can be found byteCount Integer internal Approximate file size in octets pageCount Integer internal Number of
https://arxiv.org/pdf/2608.01785
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https://arxiv.org/html/2609.03371v1
Operators can replace or upgrade their instruments and distribute longitude coverage across a network
https://arxiv.org/pdf/2608.00785
*¥ä¸"ï Ñ¥îå4‘XÚâ¢Ô]滉¼³`Yd)©$’Þéw©(P©¯\éw™÷»¼ó²’´Åe©»$ºS IG–R¯¸Ç¼´Å%‘:V‹ûéŸÍ¶g¿Á{*ÆŠ´ÑŠ$ðï ðv˜búyxZü¹ç1ì—ËphNß"lŽÍ€ >´›ïþ=ÔÝðÈêó9œ¶ÍŸï^1ãÏõ1”>"½þñ©m‡S;„wün ¶´ ´ºÒ*áj§ò[¶çGx»Âð.‹Ÿ±¾¹½Ú›�7ûp•� Ïi¸†®
https://arxiv.org/pdf/2006.00342
®lÏ'þÀ›4¦ó^ÆF˜É-B”,UKÒTØVñECEnQ-¸EÛ«»É'ýž�þyÍ]éóü…Û£žü"&a§ïˆ(¼NÞúì3Ì®
https://arxiv.org/src/2006.01048
�z'P"²#3Ôf+ Sdy¢ž^tϰ=wÙ�®Üy@ :¤ó–dÿÊÕÞw °¹ØÄq³ ™ºN½Òðû™âzAýpO,‘é÷÷VœA6“&üG6‚Æ9"×Ai6ý£ZÌ þ¢È¿ßÙùÓÂÿ'‡†•åÕÔRâââ’’’ÒÒÂ:ÈÉÉ�{kjjª¨¢EçÍð ¹¹¹ii#©www� «†æ‡h†}û'á”ÿ•5©QõîÌUUUþLK[q~~ž%8–Î�fN„œ’¢&(èWRrt¾ÑSÅ1—&ù599Ùñd±®¶6N]èRcÅ·|h®„ª,,„ð ÝÚÜdwØ_ßßGÇÂJ�ŠÒ11as»µØÿ-™ÊòÄ ˆa~aaRB‚Óùz×ÈÈÈô´B>ê708l6£t%»’ô�$
https://arxiv.org/pdf/2608.03118
Ó>~ý|)•Š:›{÷iªJ¥3�/S©¬–,a)Ò0Ť‘L3•¦Ì0m5³ÌjÁˤd‰0¸áMBà_áEâý[Åý;Ǻè /b [&²õŽÉDcPƤÐôÂ¤Ì ^˜L*%“:¥Pcñª&—šÉ “‚Î4I0βT€8éXŠ4²4µ¸�åÐI°Të�,5‚Yj1OªðÌ4YêÜÐ5£Ì—)ªdJ82~þêÓ_ù(Lº»8ß¼®òÅt¸øÎãèÇ�ý껳Ù|µÄ� µ`ø å³P™úJÖ4�
https://arxiv.org/list/cs.AI/new
We demonstrate that it can self-assemble functional circuits from scratch and rapidly re-route logic around permanent, previously unseen hardware faults
https://arxiv.org/pdf/2005.13905
1“Ë‚´Ã~±íÌðè5’&kR*Ôê¡0daõ̳šëð‹%uK”`&6E©�
https://arxiv.org/pdf/2608.02854v1
�“kñP`úûÜïž8‡„È 4GŽ´HQ@æ%¤R› Ø�«F¼@Ë~„Î9¡ (B9ãìÖ5ÎOS«7WŸ›k¬zSÛD–ëØn©õ> endobj 9 0 obj > stream xœ�ZYsÛ8~ß_ÁÇxS“7P55U–ïC¶#ɇ¼µ´ÍXÜØ’‡’g&óë·›% $¡òT9‘Ùh ___”Iš¤ !‰„ÿiB|°„2øà KYBDÂ$|È„+øP‰`ð¡A_&Ä$RÊ„¦‰RðAÍàƒ&&5°Db$|ð„¤œ&TÀ&°
https://arxiv.org/src/2006.03720
Á`"†aXt࢜G ¿Ô÷aVTê(:–F ÁTWÓÑc#ýZe_òÞÐÔÚ˜‡ÒÙ þ²u'iUipŒŽMEE'ϰäžO›ÌKX ²Á�¨(NDÌIñ&_,æº)n¡dlnTªÐ“w—çGG‡'ïŽ;³q O6ì&*ŠÐ;p´¤uÖ;Æ{s^hÃA³—ÜãXÕÐl
https://arxiv.org/src/2006.00064
rD™h¥ø t Ã'L€0°"Ip}eòdêD󀉆 —`}•[>M)P#Cu¬xHW0B“6¯dP{xÜcÌ`�æÖ‰°“›ÌŽ_JikŠ5áÎùœì>ŠÞ…Š/—ù`Ó“ñNª7°Íšáu¬¸U° Y«Ž™‡æ¦S¸@¾ó6žœhØ“`ÇAZ–Æwè¢9t¢¥†Ý�«O4™)·ìF3I„\Ó°„uÒ™”‚âÁÀÌœ\Çœä_†”Þ]Д«Íït°¸$ÌŽJ0ñj€Ï·|¦At %QïòÄóíÃó'Fä:oê1Óä1ã£Ió’s~_Œ£y•>(ìŽ)ÔâCfXcêFÌš”{Fºj€‰¦ü{œÚ €÷ ¤la~£°ÀħÅvǸŸ\5îÇ3�m6´9(Äx
https://arxiv.org/src/2006.02759
}†‘û{Ø\»†�fUaÅbTMV ¼•~À8yœš–ˆÆ9}r'e´‘¢ÉŽ]y±DÔ)u³V5ºh㾕z±'&]Ñ'“”ÆPÄÊ0 ´á7N* ¡¼iPÿÎååà3œèqS [÷F@ub¨{@ºÊzêó«èiÍXs™
https://arxiv.org/src/2006.01128
háLkol ðÿÑÿ'VVæÿ=þ§ÿkd gcfc``becf`üßzÐÿYYðéÿ”ÏÿE.NÎŽøø ŽvvÎÿŸúý{ÿÿ§"‘¥a e�"™_Y‡bŧǷ3´„âæ†¢“6±5s6Çgdå`ÇÿßE'jaílâˆO'jmàl"lbdglÅËåäìhb`å¾¹£-‡Ý†Ø{W‡ïH_ lÑ‹‡>$1N¢î RïS¿�$|Eì DòÇ«—`ݨǴE‘¹°(M×5nˆÚW‹¾A´�EºQ…õ1Þ6XfÉq�m
https://arxiv.org/src/2006.01331
>'š"J=&_[¿:¾�$¿@0üÿâÕ›Þ^AjˆØj«>¢ÌÄ ‡†˜[Œª¤AÔôQ‘t`}~Q¨?½z(Rx€�‰{>2„¨J¢`ÇÎÒ»Aý ±˜;©ˆ×2?;_ڱ퀂.ì™OˆVþcñøÐ±nÁ{¾cçì){Æž³ïÙ_ÙöoìßÙKöнf?°7ìoì-{Ç.Ø�ìïì'ö3ûû¢c½·&›Í˜Ã\ÆÙœ-Ø’yì7vÍ|°� ±÷,f KYÆnØ-[±5û éÙCödj"¼ç¢êF?&8C%(æE|C$
https://arxiv.org/src/2006.02085
rúž�Ù¥•¸Ó]+Z¸W�—ǧ'¡-tfž•ˆÀ�||þâå Þ»ízŽmE{¸�:oŸ=W–ãÄélæ.Ø öîÝ×äþ— o;’›0°?–SÆ‘ñbŠ EP˜ðÚ yoäjz0H´'ÞæÒOŒJœû²�û»ˆDÈv]¶+Øià@È „óÝú©—¸¡·ü¢ÓùWO¦Ã�eûV”ìÙ^üû�±1þ†ÃýAÿ‡Šÿ£ÑÁÿÇÿÆgg§³³ÃNçnÌàîØÏ…O|ÕÃÞˆæ¥Ã®ÝdÎ’¹`Ž´ã$rC–
https://arxiv.org/src/2104.08691
>6JžfÞHxØá@ŠÀO»Fm1Id”±4ŸLâ$3ß~8q=¾ø¸vtèz3‚®“D ìw9”ØHpÖ€ â ˆï`užàûŸüyÿ[z[ (ÌVD8\žÂ÷Iž±,ÖÀR/‘(Æ~Ǻz¥Y§SΫӑQ #ÿ�Sgì�Æã²KîóI†«ŸÄ!óâp ©8�‡Å , #”¡ôX6ÆLpÁÖ;8…šÑ@$"òàìZLU6×7^B+ h!C³T[-±ú• 8y# Eº;ÔÜŸdäAá!\·ÁO”‡}ÜŸ(¾Ó
https://arxiv.org/pdf/2608.02976
Zýáü oŒÍøe§SÕ�¦©ôðI ×´ÓOÂ\õïèÀIpïÀ‹%ª&1™$a©K¹ËÈCH»0G�Ž_¥3¶{‡bý¹Xx” O±jlbLTxT2¦S$‹A™×ŒÛxI V‚¬öuYã
https://arxiv.org/src/2608.03883
>ã |ró�àLò©@àžŠ“PÜ‹p¯]ûA(">×" äÝ 78ëÜrywÜUb¹gpüþÒÖáŽïE*ƒ8Bº¾ì0¸UÈ0;Õòö’4†iÒƒv;$ƒÿѓٿWlâ°�ੈD nå±E fLÍóbWª4HX¦‚0PÝ–å$XœÓ â!Óa…¸J¶©,+ÁSKƾ%¦q¢Àáåć\ÊÃﯣ?Ãÿ°¿þûŸŠX`wû�)” ¢)ƒ‘ÀÅúqÊ^¿ùùšý§wr'ìÆá–dß"¨óËM7N§49ö*S³8
https://arxiv.org/pdf/2006.02602
,{AûëG™JÐ ÝÅ’ùÈGRRBv$!·Aâ×�›àâ¦&MÜ”YI6[’2WeMÊ¢Š3V�MG©�‡!Œ²ššq #–%tkFؤ íä(Z¶¦ï좳–-Ÿ¤Ñèòs¡Š)„ïÁÙ…ÐH¸]?XÜä´7ó„;ñ�Ô;´\Þy§^ôQø´ùÊ£´Š–¡‡5£qYNo¤æJ’ÓðÊŠ—ù�ûˆQñaÀØeB§½À *¯Ï”Ìuw²ó„–”Z¥_íÞ`iQJ±hèdÐäK?ÍP´6PmÕŠIZ¶z®sÜŠ¢Ô$
https://arxiv.org/pdf/2608.02666
'±üd$ ëÿìWõUóÒäˆ)‚]ŠÍîêêºWu“ÿˆ¾‰þÝ}ñ£‹~ø1JõïÇД&YÁ{þS¥.i³è‡¿E¿xŽŽi’¦y=ÿUµöÂ%¯]REY»yþ[t÷üœE.zþKô]ÿäê::º(Þòò�—.Yïy9Œ_bÞ¾\_odäGvºaë-KF�üŽ�){:^>^oÊu¦ _^GmýÏŸ£o£¿oÞ¤SÐ9èTQ©NáR»2)Û¢Œ\[™NUçtÊE¤:µód¾€Šý¼MÕ&UYb½-Ä@uÙæ�%
https://arxiv.org/html/2608.02909v1
Through simulations, we show that this approach recovers estimates close to the true values, even in relatively small samples, while the standard approach can produce substantial bias in practice
https://arxiv.org/html/2608.02851v1
org perpetual non-exclusive license
arXiv:2608
https://arxiv.org/html/2607.22511v2
A statement can be free of sorry and still be mathematically uninformative: a definition may reduce to True; or an unproven step may be introduced as an axiom that the kernel accepts
https://arxiv.org/list/cs.NA/new
all
New submissions (showing 18 of 18 entries)
[1] arXiv:2608
https://arxiv.org/list/cs.DC/new
SE)
Automating GPU kernel optimization remains difficult in practice: generated variants can violate correctness constraints, runtime measurements are noisy, and search often stalls early
https://arxiv.org/html/2608.02609v1
edu
Abstract
Half a million cuneiform clay tablets survive in museums worldwide, yet modern users can neither read nor write in the world’s oldest writing system, leaving a 4,000-year cultural barrier that existing NLP tools have only partially addressed
https://arxiv.org/html/2607.27099v1
org perpetual non-exclusive license
arXiv:2607
https://arxiv.org/list/math/new
Their finite iterates can develop rapidly increasing numbers of linear pieces, making them a natural test case for the expressive power of deep neural networks