{"id":11640,"date":"2022-03-23T06:37:12","date_gmt":"2022-03-23T06:37:12","guid":{"rendered":"https:\/\/www.thegioimaychu.vn\/blog\/?p=11640"},"modified":"2022-03-23T10:24:13","modified_gmt":"2022-03-23T10:24:13","slug":"tang-toc-manh-me-lap-trinh-dong-voi-kien-truc-gpu-nvidia-hopper","status":"publish","type":"post","link":"https:\/\/thegioimaychu.vn\/blog\/tong-hop\/tang-toc-manh-me-lap-trinh-dong-voi-kien-truc-gpu-nvidia-hopper-p11640\/","title":{"rendered":"T\u0103ng t\u1ed1c m\u1ea1nh m\u1ebd l\u1eadp tr\u00ecnh \u0111\u1ed9ng v\u1edbi Ki\u1ebfn tr\u00fac GPU NVIDIA Hopper"},"content":{"rendered":"<style>.iblink{color:#975!important;}.iblink:hover{color:orange!important;}<\/style><p>Ki\u1ebfn\u00a0tr\u00fac GPU NVIDIA Hopper\u00a0\u0111\u01b0\u1ee3c c\u00f4ng b\u1ed1 h\u00f4m nay t\u1ea1i GTC22 s\u1ebd t\u0103ng t\u1ed1c dynamic programming &#8211; m\u1ed9t k\u1ef9 thu\u1eadt gi\u1ea3i quy\u1ebft v\u1ea5n \u0111\u1ec1 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng trong c\u00e1c thu\u1eadt to\u00e1n v\u1ec1 gen, t\u00ednh to\u00e1n l\u01b0\u1ee3ng t\u1eed, t\u1ed1i \u01b0u h\u00f3a \u0111\u1ecbnh tuy\u1ebfn&#8230; l\u00ean \u0111\u1ebfn 40 l\u1ea7n v\u1edbi\u00a0c\u00e1c <a href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/hopper-architecture\/\">t\u1eadp l\u1ec7nh DPX<\/a> m\u1edbi.<\/p>\n<p>M\u1ed9t t\u1eadp l\u1ec7nh \u0111\u01b0\u1ee3c t\u00edch h\u1ee3p trong\u00a0GPU NVIDIA H100, DPX s\u1ebd gi\u00fap c\u00e1c nh\u00e0 ph\u00e1t tri\u1ec3n vi\u1ebft m\u00e3 \u0111\u1ec3 \u0111\u1ea1t \u0111\u01b0\u1ee3c t\u1ed1c \u0111\u1ed9 tr\u00ean c\u00e1c thu\u1eadt to\u00e1n l\u1eadp tr\u00ecnh \u0111\u1ed9ng trong nhi\u1ec1u ng\u00e0nh, th\u00fac \u0111\u1ea9y quy tr\u00ecnh l\u00e0m vi\u1ec7c \u0111\u1ec3 ch\u1ea9n \u0111o\u00e1n b\u1ec7nh, m\u00f4 ph\u1ecfng l\u01b0\u1ee3ng t\u1eed, ph\u00e2n t\u00edch \u0111\u1ed3 th\u1ecb v\u00e0 t\u1ed1i \u01b0u h\u00f3a \u0111\u1ecbnh tuy\u1ebfn.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2022\/03\/tgmc-blog-623a9250c0f90.jpg\" alt=\"Transformer Engine\" \/><\/p>\n<h2><b>Dynamic Programming &#8211; L\u1eadp tr\u00ecnh \u0111\u1ed9ng l\u00e0 g\u00ec?\u00a0<\/b><\/h2>\n<p>\u0110\u01b0\u1ee3c ph\u00e1t tri\u1ec3n v\u00e0o nh\u1eefng n\u0103m 1950, l\u1eadp tr\u00ecnh \u0111\u1ed9ng l\u00e0 m\u1ed9t k\u1ef9 thu\u1eadt ph\u1ed5 bi\u1ebfn \u0111\u1ec3 gi\u1ea3i c\u00e1c b\u00e0i to\u00e1n ph\u1ee9c t\u1ea1p v\u1edbi hai k\u1ef9 thu\u1eadt ch\u00ednh: \u0111\u1ec7 quy (recursion) v\u00e0 ghi nh\u1edb (memoization).<\/p>\n<p>\u0110\u1ec7 quy li\u00ean quan \u0111\u1ebfn vi\u1ec7c chia nh\u1ecf m\u1ed9t v\u1ea5n \u0111\u1ec1 th\u00e0nh c\u00e1c v\u1ea5n \u0111\u1ec1 con \u0111\u01a1n gi\u1ea3n h\u01a1n, ti\u1ebft ki\u1ec7m th\u1eddi gian v\u00e0 c\u00f4ng s\u1ee9c t\u00ednh to\u00e1n.\u00a0Trong ghi nh\u1edb, c\u00e1c c\u00e2u tr\u1ea3 l\u1eddi cho nh\u1eefng v\u1ea5n \u0111\u1ec1 ph\u1ee5 n\u00e0y &#8211; \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng l\u1ea1i nhi\u1ec1u l\u1ea7n khi gi\u1ea3i quy\u1ebft v\u1ea5n \u0111\u1ec1 ch\u00ednh &#8211; \u0111\u01b0\u1ee3c l\u01b0u tr\u1eef.\u00a0Ghi nh\u1edb l\u00e0m t\u0103ng hi\u1ec7u qu\u1ea3, v\u00ec v\u1eady c\u00e1c v\u1ea5n \u0111\u1ec1 ph\u1ee5 kh\u00f4ng c\u1ea7n ph\u1ea3i \u0111\u01b0\u1ee3c t\u00ednh to\u00e1n l\u1ea1i khi c\u1ea7n thi\u1ebft sau n\u00e0y trong v\u1ea5n \u0111\u1ec1 ch\u00ednh.<\/p>\n<p>C\u00e1c l\u1ec7nh DPX t\u0103ng t\u1ed1c c\u00e1c thu\u1eadt to\u00e1n l\u1eadp tr\u00ecnh \u0111\u1ed9ng l\u00ean \u0111\u1ebfn 7 l\u1ea7n tr\u00ean GPU NVIDIA H100, so v\u1edbi c\u00e1c GPU d\u1ef1a tr\u00ean ki\u1ebfn \u200b\u200btr\u00fac NVIDIA Ampere.\u00a0Trong m\u1ed9t n\u00fat c\u00f3 b\u1ed1n GPU NVIDIA H100, kh\u1ea3 n\u0103ng t\u0103ng t\u1ed1c \u0111\u00f3 c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c \u0111\u1ea9y m\u1ea1nh h\u01a1n n\u1eefa.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2022\/03\/tgmc-blog-623a92510ac9b.jpg\" alt=\"DPX Instructions\" \/><\/p>\n<h2><b>C\u00e1c tr\u01b0\u1eddng h\u1ee3p s\u1eed d\u1ee5ng: Span Healthcare, Robotics, M\u00e1y t\u00ednh l\u01b0\u1ee3ng t\u1eed, Khoa h\u1ecdc d\u1eef li\u1ec7u<\/b><\/h2>\n<p>L\u1eadp tr\u00ecnh \u0111\u1ed9ng th\u01b0\u1eddng \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng trong nhi\u1ec1u thu\u1eadt to\u00e1n t\u1ed1i \u01b0u h\u00f3a, x\u1eed l\u00fd d\u1eef li\u1ec7u v\u00e0 omics.\u00a0Cho \u0111\u1ebfn nay, h\u1ea7u h\u1ebft c\u00e1c nh\u00e0 ph\u00e1t tri\u1ec3n \u0111\u00e3 ch\u1ea1y c\u00e1c lo\u1ea1i thu\u1eadt to\u00e1n n\u00e0y tr\u00ean CPU ho\u1eb7c FPGA &#8211; nh\u01b0ng c\u00f3 th\u1ec3 m\u1edf kh\u00f3a t\u1ed1c \u0111\u1ed9 \u0111\u00e1ng k\u1ec3 b\u1eb1ng c\u00e1ch s\u1eed d\u1ee5ng h\u01b0\u1edbng d\u1eabn DPX tr\u00ean GPU NVIDIA Hopper.<\/p>\n<p><b>Omics\u00a0<\/b><\/p>\n<p>Omics bao g\u1ed3m m\u1ed9t lo\u1ea1t c\u00e1c l\u0129nh v\u1ef1c sinh h\u1ecdc bao g\u1ed3m genomics (t\u1eadp trung v\u00e0o DNA), proteomics (t\u1eadp trung v\u00e0o protein) v\u00e0 transcriptomics (t\u1eadp trung v\u00e0o RNA).\u00a0C\u00e1c l\u0129nh v\u1ef1c n\u00e0y, th\u00f4ng b\u00e1o cho c\u00f4ng vi\u1ec7c quan tr\u1ecdng c\u1ee7a nghi\u00ean c\u1ee9u b\u1ec7nh t\u1eadt v\u00e0 ph\u00e1t hi\u1ec7n thu\u1ed1c, t\u1ea5t c\u1ea3 \u0111\u1ec1u d\u1ef1a v\u00e0o c\u00e1c ph\u00e2n t\u00edch thu\u1eadt to\u00e1n c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c t\u0103ng t\u1ed1c v\u1edbi c\u00e1c h\u01b0\u1edbng d\u1eabn DPX.<\/p>\n<p>V\u00ed d\u1ee5, c\u00e1c thu\u1eadt to\u00e1n l\u1eadp tr\u00ecnh \u0111\u1ed9ng Smith-Waterman v\u00e0 Needleman-Wunsch \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 s\u1eafp x\u1ebfp tr\u00ecnh t\u1ef1 DNA, ph\u00e2n lo\u1ea1i protein v\u00e0 g\u1ea5p protein.\u00a0C\u1ea3 hai \u0111\u1ec1u s\u1eed d\u1ee5ng ph\u01b0\u01a1ng ph\u00e1p cho \u0111i\u1ec3m \u0111\u1ec3 \u0111o m\u1ee9c \u0111\u1ed9 s\u1eafp x\u1ebfp c\u1ee7a c\u00e1c tr\u00ecnh t\u1ef1 di truy\u1ec1n t\u1eeb c\u00e1c m\u1eabu kh\u00e1c nhau.<\/p>\n<p>Smith-Waterman t\u1ea1o ra k\u1ebft qu\u1ea3 ch\u00ednh x\u00e1c cao, nh\u01b0ng t\u1ed1n nhi\u1ec1u t\u00e0i nguy\u00ean v\u00e0 th\u1eddi gian t\u00ednh to\u00e1n h\u01a1n c\u00e1c ph\u01b0\u01a1ng ph\u00e1p c\u0103n ch\u1ec9nh kh\u00e1c.\u00a0B\u1eb1ng c\u00e1ch s\u1eed d\u1ee5ng c\u00e1c l\u1ec7nh DPX tr\u00ean m\u1ed9t n\u00fat c\u00f3 b\u1ed1n GPU NVIDIA H100, c\u00e1c nh\u00e0 khoa h\u1ecdc c\u00f3 th\u1ec3 t\u0103ng t\u1ed1c qu\u00e1 tr\u00ecnh n\u00e0y l\u00ean 35 l\u1ea7n \u0111\u1ec3 \u0111\u1ea1t \u0111\u01b0\u1ee3c qu\u00e1 tr\u00ecnh x\u1eed l\u00fd th\u1eddi gian th\u1ef1c, n\u01a1i c\u00f4ng vi\u1ec7c g\u1ecdi c\u01a1 s\u1edf v\u00e0 c\u0103n ch\u1ec9nh di\u1ec5n ra v\u1edbi t\u1ed1c \u0111\u1ed9 t\u01b0\u01a1ng t\u1ef1 nh\u01b0 gi\u1ea3i tr\u00ecnh t\u1ef1 DNA.<\/p>\n<p>Vi\u1ec7c t\u0103ng t\u1ed1c n\u00e0y s\u1ebd gi\u00fap d\u00e2n ch\u1ee7 h\u00f3a ph\u00e2n t\u00edch b\u1ed9 gen trong c\u00e1c b\u1ec7nh vi\u1ec7n tr\u00ean to\u00e0n th\u1ebf gi\u1edbi, \u0111\u01b0a c\u00e1c nh\u00e0 khoa h\u1ecdc \u0111\u1ebfn g\u1ea7n h\u01a1n v\u1edbi vi\u1ec7c cung c\u1ea5p thu\u1ed1c c\u00e1 nh\u00e2n h\u00f3a cho b\u1ec7nh nh\u00e2n.<\/p>\n<p><b>T\u1ed1i \u01b0u h\u00f3a Tuy\u1ebfn \u0111\u01b0\u1eddng<\/b><\/p>\n<p>Vi\u1ec7c t\u00ecm ra tuy\u1ebfn \u0111\u01b0\u1eddng t\u1ed1i \u01b0u cho nhi\u1ec1u m\u1ea3nh chuy\u1ec3n \u0111\u1ed9ng l\u00e0 \u0111i\u1ec1u c\u1ea7n thi\u1ebft \u0111\u1ed1i v\u1edbi c\u00e1c robot t\u1ef1 \u0111\u1ed9ng di chuy\u1ec3n qua m\u1ed9t kho \u0111\u1ed9ng ho\u1eb7c th\u1eadm ch\u00ed m\u1ed9t ng\u01b0\u1eddi g\u1eedi chuy\u1ec3n d\u1eef li\u1ec7u \u0111\u1ebfn nhi\u1ec1u ng\u01b0\u1eddi nh\u1eadn trong m\u1ea1ng m\u00e1y t\u00ednh.<\/p>\n<p>\u0110\u1ec3 gi\u1ea3i quy\u1ebft v\u1ea5n \u0111\u1ec1 t\u1ed1i \u01b0u h\u00f3a n\u00e0y, c\u00e1c nh\u00e0 ph\u00e1t tri\u1ec3n d\u1ef1a v\u00e0o Floyd-Warshall, m\u1ed9t thu\u1eadt to\u00e1n l\u1eadp tr\u00ecnh \u0111\u1ed9ng \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 t\u00ecm kho\u1ea3ng c\u00e1ch ng\u1eafn nh\u1ea5t gi\u1eefa t\u1ea5t c\u1ea3 c\u00e1c c\u1eb7p \u0111i\u1ec3m \u0111\u1ebfn trong b\u1ea3n \u0111\u1ed3 ho\u1eb7c \u0111\u1ed3 th\u1ecb.\u00a0Trong m\u00e1y ch\u1ee7 c\u00f3 b\u1ed1n GPU NVIDIA H100, kh\u1ea3 n\u0103ng t\u0103ng t\u1ed1c Floyd-Warshall \u0111\u01b0\u1ee3c t\u0103ng g\u1ea5p 40 l\u1ea7n so v\u1edbi m\u00e1y ch\u1ee7 ch\u1ec9 s\u1eed d\u1ee5ng CPU \u1ed5 c\u1eafm k\u00e9p truy\u1ec1n th\u1ed1ng.<\/p>\n<p>\u0110\u01b0\u1ee3c k\u1ebft h\u1ee3p v\u1edbi ph\u1ea7n m\u1ec1m h\u1eadu c\u1ea7n\u00a0NVIDIA cuOpt\u00a0AI, kh\u1ea3 n\u0103ng t\u0103ng t\u1ed1c t\u1ed1i \u01b0u h\u00f3a \u0111\u1ecbnh tuy\u1ebfn n\u00e0y c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng cho c\u00e1c \u1ee9ng d\u1ee5ng th\u1eddi gian th\u1ef1c trong nh\u00e0 m\u00e1y, xe t\u1ef1 h\u00e0nh ho\u1eb7c c\u00e1c thu\u1eadt to\u00e1n l\u1eadp b\u1ea3n \u0111\u1ed3 v\u00e0 \u0111\u1ecbnh tuy\u1ebfn trong \u0111\u1ed3 th\u1ecb tr\u1eebu t\u01b0\u1ee3ng.<\/p>\n<p><iframe loading=\"lazy\" title=\"Optimize Route Planning with NVIDIA cuOpt\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/z5-gKQFqE_4?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<p><b>M\u00f4 ph\u1ecfng l\u01b0\u1ee3ng t\u1eed<\/b><\/p>\n<p>V\u00f4 s\u1ed1 thu\u1eadt to\u00e1n l\u1eadp tr\u00ecnh \u0111\u1ed9ng kh\u00e1c c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c t\u0103ng t\u1ed1c tr\u00ean GPU NVIDIA H100 v\u1edbi l\u1ec7nh DPX.\u00a0M\u1ed9t l\u0129nh v\u1ef1c \u0111\u1ea7y h\u1ee9a h\u1eb9n l\u00e0 \u0111i\u1ec7n to\u00e1n l\u01b0\u1ee3ng t\u1eed, trong \u0111\u00f3 l\u1eadp tr\u00ecnh \u0111\u1ed9ng \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng trong c\u00e1c thu\u1eadt to\u00e1n t\u1ed1i \u01b0u h\u00f3a tensor \u0111\u1ec3 m\u00f4 ph\u1ecfng l\u01b0\u1ee3ng t\u1eed.\u00a0C\u00e1c h\u01b0\u1edbng d\u1eabn DPX c\u00f3 th\u1ec3 gi\u00fap c\u00e1c nh\u00e0 ph\u00e1t tri\u1ec3n \u0111\u1ea9y nhanh qu\u00e1 tr\u00ecnh x\u00e1c \u0111\u1ecbnh th\u1ee9 t\u1ef1 co tensor ph\u00f9 h\u1ee3p.<\/p>\n<p><b>T\u1ed1i \u01b0u h\u00f3a truy v\u1ea5n SQL<\/b><\/p>\n<p>M\u1ed9t \u1ee9ng d\u1ee5ng ti\u1ec1m n\u0103ng kh\u00e1c l\u00e0 trong khoa h\u1ecdc d\u1eef li\u1ec7u.\u00a0C\u00e1c nh\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u l\u00e0m vi\u1ec7c v\u1edbi ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh SQL th\u01b0\u1eddng c\u1ea7n th\u1ef1c hi\u1ec7n m\u1ed9t s\u1ed1 ho\u1ea1t \u0111\u1ed9ng \u201cn\u1ed1i\u201d tr\u00ean m\u1ed9t t\u1eadp h\u1ee3p c\u00e1c b\u1ea3ng.\u00a0L\u1eadp tr\u00ecnh \u0111\u1ed9ng gi\u00fap t\u00ecm th\u1ee9 t\u1ef1 t\u1ed1i \u01b0u cho c\u00e1c ph\u00e9p n\u1ed1i n\u00e0y, th\u01b0\u1eddng ti\u1ebft ki\u1ec7m c\u00e1c th\u1ee9 t\u1ef1 c\u00f3 \u0111\u1ed9 l\u1edbn trong th\u1eddi gian th\u1ef1c thi v\u00e0 do \u0111\u00f3 t\u0103ng t\u1ed1c c\u00e1c truy v\u1ea5n SQL.<\/p>\n<div>____<br \/><b>B\u00e0i vi\u1ebft li\u00ean quan<\/b><\/div>\n<ul>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=23415\">B\u01b0\u1edbc v\u00e0o k\u1ef7 nguy\u00ean tr\u1ee3 l\u00fd AI c\u00e1 nh\u00e2n &#8211; so s\u00e1nh chi ti\u1ebft NVIDIA RTX Spark v\u00e0 DGX Spark<\/a><\/li>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=23322\">NVIDIA RTX PRO 4500 Blackwell Server Edition: B\u01b0\u1edbc nh\u1ea3y v\u1ecdt t\u1eeb th\u1ebf h\u1ec7 L4 cho h\u1ea1 t\u1ea7ng AI suy lu\u1eadn hi\u1ec7u n\u0103ng cao<\/a><\/li>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=23119\">NVIDIA NGC\u2011ready Low\u2011latency Edge AI: Gi\u1ea3i ph\u00e1p cho Retail, Manufacturing v\u00e0 Smart Cities<\/a><\/li>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=23110\">So s\u00e1nh s\u1ee9c m\u1ea1nh c\u1ee7a m\u00e1y t\u00ednh AI DGX Spark v\u1edbi c\u00e1c card GPU m\u00e1y tr\u1ea1m chuy\u00ean nghi\u1ec7p c\u1ee7a NVIDIA<\/a><\/li>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=22969\">T\u1eeb Orin \u0111\u1ebfn Thor: B\u01b0\u1edbc nh\u1ea3y v\u1ecdt ki\u1ebfn tr\u00fac c\u1ee7a NVIDIA JetPack 7.0 v\u00e0 t\u01b0\u01a1ng lai c\u1ee7a robot h\u00ecnh ng\u01b0\u1eddi<\/a><\/li>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=22887\">T\u1ea1i sao g\u1ecdi NVIDIA DGX Spark l\u00e0 Si\u00eau m\u00e1y t\u00ednh AI c\u00e1 nh\u00e2n?<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Ki&#7871;n&nbsp;tr&uacute;c GPU NVIDIA Hopper&nbsp;&#273;&#432;&#7907;c c&ocirc;ng b&#7889; h&ocirc;m nay t&#7841;i GTC22 s&#7869; t&#259;ng t&#7889;c dynamic programming &ndash; m&#7897;t k&#7929; thu&#7853;t gi&#7843;i quy&#7871;t v&#7845;n &#273;&#7873; &#273;&#432;&#7907;c s&#7917; d&#7909;ng trong c&aacute;c thu&#7853;t to&aacute;n v&#7873; gen, t&iacute;nh to&aacute;n l&#432;&#7907;ng t&#7917;, t&#7889;i &#432;u h&oacute;a &#273;&#7883;nh tuy&#7871;n&hellip; l&ecirc;n &#273;&#7871;n 40 l&#7847;n v&#7899;i&nbsp;c&aacute;c t&#7853;p l&#7879;nh DPX m&#7899;i. 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