Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Go言語でMac GPUプログラミング
Search
monochromegane
December 18, 2023
Programming
1
590
Go言語でMac GPUプログラミング
2023.12.18 Fukuoka.go#19 Reboot
https://fukuokago.connpass.com/event/302717/
monochromegane
December 18, 2023
Tweet
Share
More Decks by monochromegane
See All by monochromegane
ベクトル検索システムの気持ち
monochromegane
33
11k
Go言語での実装を通して学ぶ、高速なベクトル検索を支えるクラスタリング技術/fukuokago-kmeans
monochromegane
1
170
Go言語でターミナルフレンドリーなAIコマンド、afaを作った/fukuokago20_afa
monochromegane
2
240
多様かつ継続的に変化する環境に適応する情報システム/thesis-defense-presentation
monochromegane
1
880
Online Nonstationary and Nonlinear Bandits with Recursive Weighted Gaussian Process
monochromegane
0
530
AIを前提とした体験の実現に向けて/toward_ai_based_experiences
monochromegane
2
940
Contextual and Nonstationary Multi-armed Bandits Using the Linear Gaussian State Space Model for the Meta-Recommender System
monochromegane
1
1k
迅速な学習機構を用いて逐次適応性を損なうことなく非線形性を扱う文脈付き多腕バンディット手法/extreme_neural_linear_bandits
monochromegane
0
2.2k
再帰化への認知的転回/the-turn-to-recursive-system
monochromegane
0
800
Other Decks in Programming
See All in Programming
バランスを見極めよう!実装の意味を明示するための型定義 TSKaigi 2025 Day2 (5/24)
whatasoda
1
350
OpenTelemetryで始めるベンダーフリーなobservability / Vendor-free observability starting with OpenTelemetry
seike460
0
140
Feature Flag 自動お掃除のための TypeScript プログラム変換
azrsh
PRO
4
270
ドメイン駆動設計とXPで支える子どもの未来 / Domain-Driven Design and XP Supporting Children's Future
nrslib
0
340
20250429 - CNTUG Meetup #67 / DevOps Taiwan Meetup #69 - Deep Dive into Tetragon: Building Runtime Security and Observability with eBPF
tico88612
0
190
VibeCoding時代のエンジニアリング
daisuketakeda
0
270
generative-ai-use-cases(GenU)の推しポイント ~2025年4月版~
hideg
1
440
rbs-traceを使ってWEARで型生成を試してみた After RubyKaigi 2025〜ZOZO、ファインディ、ピクシブ〜 / tried rbs-trace on WEAR
oyamakei
0
260
AIコーディングの本質は“コード“ではなく“構造“だった / The essence of AI coding is not “code” but "structure
seike460
2
590
ソフトウェア品質特性、意識してますか?AIの真の力を引き出す活用事例 / ai-and-software-quality
minodriven
18
5.4k
マテリアルって何者?RealityKitで扱うマテリアル入門
nao_randd
0
120
「MCPを使ってる人」が より詳しくなるための解説
yamaguchidesu
0
260
Featured
See All Featured
I Don’t Have Time: Getting Over the Fear to Launch Your Podcast
jcasabona
32
2.3k
A designer walks into a library…
pauljervisheath
205
24k
Agile that works and the tools we love
rasmusluckow
329
21k
VelocityConf: Rendering Performance Case Studies
addyosmani
329
24k
Statistics for Hackers
jakevdp
799
220k
What's in a price? How to price your products and services
michaelherold
245
12k
Git: the NoSQL Database
bkeepers
PRO
430
65k
Being A Developer After 40
akosma
91
590k
Practical Tips for Bootstrapping Information Extraction Pipelines
honnibal
PRO
19
1.2k
The Psychology of Web Performance [Beyond Tellerrand 2023]
tammyeverts
47
2.8k
What’s in a name? Adding method to the madness
productmarketing
PRO
22
3.5k
The Success of Rails: Ensuring Growth for the Next 100 Years
eileencodes
45
7.3k
Transcript
Lightning Talks ࡾ༔հ / Pepabo R&D Institute, GMO Pepabo, Inc.
2023.12.18 Fukuoka.go#19 Reboot GoݴޠͰMac GPUϓϩάϥϛϯά
ϓϦϯγύϧΤϯδχΞ ࡾ ༔հ / @monochromegane 2 https://blog.monochromegane.com Yusuke Miyake ϖύϘݚڀॴ
ݚڀһ
• ଟมྔਖ਼ن ʹै͏ཚੜʹ͕͔͔࣌ؒΔ • ͜ͷཚੜͷखॱʢͷҰͭʣҎԼͷ௨Γ 1. ֤ཁૉ͕ඪ४ਖ਼نʹै͏ཚ ΛಘΔ 2. ڞࢄߦྻ
ΛίϨεΩʔղʢ ʣͯ͠ࡾ֯ߦྻ ΛಘΔ 3. ΛٻΊΔ • ಛʹɺ֬ͷύϥϝʔλʢ ͱ ʣ͕ҟͳͬͨΓɺ࣍ݩ ͕େ͖͍ ߹ʹɺཚੜʹ͕͔͔࣌ؒͬͯ͠·͏ y ∼ 𝒩 (μ, Σ), μ ∈ ℝD, Σ ∈ ℝD×D z = {zi }1≤i≤D , zi ∼ 𝒩 (0,1) Σ Σ = LL⊤ L y = μ + Lz μ Σ D 3 ͡Ίʹ
• ߦྻܭࢉಠཱ͔ͭฒߦͨ͠λεΫΛଟؚ͘ΉͨΊɺߴԽʹฒྻԽ͕༗ޮ • ͢ͳΘͪɺSIMDɺCPUͷϚϧνίΞɺGPUͳͲʹΑΔฒྻԽ • CPUόϯυͰλεΫཻখ͍͞ͷͰgoroutine͔ͳ͍ʢͱࢥ͏ʣ • GoݴޠͰͷߦྻܭࢉϥΠϒϥϦGonumCPUͷϚϧνίΞΛαϙʔτ͢Δ BLASͷόΠϯσΟϯάΛఏڙ͍ͯ͠Δ •
Apple silicon (M1) ʹGPU͕ࡌ͞Ε͍ͯΔͷͰɺͦͪΒ׆༻͍ͨ͠ 4 ͡Ίʹ
• GPUͷΞΫηεΛఏڙ͢ΔOSඪ४ࡌͷϑϨʔϜϫʔΫ • άϥϑΟοΫεॲཧҎ֎ʹɺGPU্Ͱͷฒྻܭࢉॲཧѻ͑Δ • Objective-C·ͨSwift͔ΒɺGPU্ͷॲཧΛهड़ͨ͠γΣʔμʔؔΛݺͿ • γΣʔμʔؔC++ϕʔεͷMetal Shader Language
(MSL) Ͱهड़ • Metal Performance Shaders (MPS) ͱ͍͏γΣʔμʔؔ܈ఏڙ͞ΕΔ 5 Metal: MacͰGPUϓϩάϥϛϯά
6 Metal: MacͰGPUϓϩάϥϛϯά • جຊతͳྲྀΕɺσόΠεʢGPUʣͷίϚϯυΩϡʔʹର͠ɺίϚϯυόο ϑΝͱ͍͏୯ҐͰγΣʔμʔؔΛొ͠ɺ݁ՌΛड͚औΔͱ͍͏ͷ • ͳ͓ɺCPUͱGPUͷͷΓऔΓʹઐ༻ͷόοϑΝ͕༻ҙ͞Ε͍ͯΔ ίϚϯυΩϡʔ ͷ४උ
ΓऔΓ༻ͷ όοϑΝͷ४උ όοϑΝͷσʔλ͔Β ߦྻΠϯελϯεੜ .14ͷγΣʔμʔؔ ΛॳظԽɺίϚϯυ όοϑΝͱͯ͠Τϯ ίʔυɺΩϡʔʹొ όοϑΝ͔Β݁Ռͷड ͚औΓ 0CKFDUJW$Ͱͷ ࣮ྫ
• Goݴޠ͔ΒcgoΛ͑͜ΕΒͷObjective-CͷίʔυΛݺΔ༷ࢠ • https://github.com/a-h/gpu ϥΠϒϥϦͱͯ͠ར༻Ͱ͖Δ͕MPSʹରԠ͍ͯ͠ͳ͍ • https://github.com/mikecvet/go-mm MPSͷݺͼग़͠Λ࣮͍ͯ͠Δ͕ϕϯνϚʔΫͷίʔυͷΈ • ্هΛࢀߟʹͭͭ͠ɺGoݴޠ্ͰͷGPUΛ༻͍ͨଟมྔਖ਼نʹै͏ཚ
ੜ͕Ͱ͖ͦ͏ 7 Cgo: GoݴޠͰMac GPUϓϩάϥϛϯά
1. Objective-CͷϔομϑΝΠϧΛinclude͠ɺLDFLAGSʹMetalϑϨʔϜϫʔΫΛࢦఆ͢Δ 2. ʢඞཁʹԠͯ͡ʣࣗલͷγΣʔμʔؔΛgo:embedͰΈࠐΜͰ͓͘ 3. C.xxͱͯ͠Objective-CͰهड़ͨ͠ॳظԽγΣʔμʔؔΛ࣮ߦ͢ΔؔΛݺͿɻ࣮ߦ࣌ ͷύϥϝʔλ݁ՌunsafeύοέʔδΛͬͯΞΫηεɻ 8 Cgo: GoݴޠͰMac
GPUϓϩάϥϛϯά (PͰͷ࣮ྫ
• Goݴޠ্ͰͷGPUΛ༻͍ͨଟมྔਖ਼نʹै͏ཚੜ • Goͷίʔυ͔Β ΛcgoΛܦ༝ͯ͠Objective-Cͷؔʹ͢ • MPSͷMPSMatrixDecompositionCholeskyΛ༻͍ͯίϨεΩʔղ • ࣗલγΣʔμʔؔΛ༻͍ͯԼࡾ֯ߦྻҎ֎Λ0ʹຒΊΔ •
MPSͷMPSMatrixVectorMultiplicationΛ༻͍ͯ Λܭࢉ • MPSͷMPSMatrixSumΛ༻͍ͯ Λܭࢉ • GoͷίʔυͰ݁ՌΛड͚औΔ z, μ, Σ Lz μ + Lz 9 Cgo: GoݴޠͰMac GPUϓϩάϥϛϯά
• GonumͱMetal࣮ͷ࣮ߦΛൺֱʢ1000࣍ݩʣ 10 ඪ४ਖ਼نཚͷมͷൺֱ BenchmarkTransformNormMetal-8 9 117668310 ns/op BenchmarkTransformNormGonumBLAS-8 55
21494668 ns/op BenchmarkTransformNormGonum-8 21 54288034 ns/op BenchmarkTransformNormCholMetal-8 1140 1070094 ns/op BenchmarkTransformNormCholGonumBLAS-8 15124 78960 ns/op BenchmarkTransformNormCholGonum-8 6712 177368 ns/op • ίϨεΩʔղͷ݁ՌΛผ్͢Α͏ʹͨ͠߹ͷൺֱ • MPSͷίϨεΩʔղগ͍͔͠͠Εͳ͍͕ɺͦͷଞͷࠩԿ͔
• ߦྻʢ1000x1000ʣͱߦྻʢ1000x1000ʣͷࢉΛൺֱ 11 ߦྻࢉͷൺֱ BenchmarkMatrixMultipicationMetal-8 494 2222134 ns/op BenchmarkMatrixMultipicationGonumBLAS-8 60
22063894 ns/op BenchmarkMatrixMultipicationGonum-8 19 59507228 ns/op BenchmarkMatrixVectorMultipicationMetal-8 1497 792244 ns/op BenchmarkMatrixVectorMultipicationGonumBLAS-8 10000 114843 ns/op BenchmarkMatrixVectorMultipicationGonum-8 972 1239177 ns/op • ߦྻʢ1000x1000ʣͱϕΫτϧʢ1000x1ʣͷࢉΛൺֱ • ߦྻಉ࢜ͷΑ͏ͳܭࢉྔͰGPUͷํ͕ߴɻ ͷΑ͏ͳߦྻͱϕΫτϧͷࢉͰ͜ ͷ࣍ݩʹ͓͍ͯGPUҠৡͷΦʔόʔϔουͷํ͕େ͖͔ͬͨͱߟ͑ΒΕΔ Lz
• GoݴޠͰMac GPUϓϩάϥϛϯά͢Δํ๏Λհͨ͠ • ؆қతͳͷൺֱධՁΛ௨ͯ͠ɺ͍ॴͷഽײΛಘΔ͜ͱ͕Ͱ͖ͨ • MPSͷϚχϡΞϧΛಡΉͱχϡʔϥϧωοτϫʔΫͷαϙʔτ͋ΓɺΞΠ σΟΞ࣍ୈͰ໘ന͍͜ͱ͕Ͱ͖ͦ͏ • MPSͷݺͼग़͠ՄೳͳϥΠϒϥϦΛ࡞ͬͯΈ͍ͨ
• Ͳ͏ϝϞϦϦʔΫͯͦ͠͏ͳͷͰͦͷลΓվળ͍ͨ͠ • ࡾGo 12 ·ͱΊ
None