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
Compare Benchmarks and Compiler Optimization I...
Search
Sponsored
·
SiteGround - Reliable hosting with speed, security, and support you can count on.
→
po3rin
May 27, 2019
Programming
4
880
Compare Benchmarks and Compiler Optimization In Go
Go(Un) Conference #6
po3rin
May 27, 2019
Tweet
Share
More Decks by po3rin
See All by po3rin
LLMで複雑な検索条件アセットから脱却する!! 生成的検索インタフェースの設計論
po3rin
4
1.3k
C-Shared Buildで突破するAI Agent バックテストの壁
po3rin
0
470
嗚呼、当時の本番環境の状態で AI Agentを再評価したいなぁ...
po3rin
0
530
Temporal Knowledge Graphで作る! 時間変化するナレッジを扱うAI Agentの世界
po3rin
5
1.8k
自作LLM Native GORM Pluginで実現する AI Agentバックテスト基盤構築
po3rin
2
890
麻雀点数計算問題生成タスクから学ぶ Single Agentの限界と Agentic Workflowの底力
po3rin
5
3k
LLMOpsのパフォーマンスを支える技術と現場で実践した改善
po3rin
8
1.2k
LLMは麻雀を知らなすぎるから俺が教育してやる
po3rin
4
2.7k
M3におけるCI/CDパイプラインを新鮮に保つ仕組み
po3rin
0
410
Other Decks in Programming
See All in Programming
What Spring Developers Should Know About Jakarta EE
ivargrimstad
0
450
Takumiから考えるSecurity_Maturity_Model.pdf
gessy0129
1
140
AHC061解説
shun_pi
0
370
今更考える「単一責任原則」 / Thinking about the Single Responsibility Principle
tooppoo
3
1.6k
どんと来い、データベース信頼性エンジニアリング / Introduction to DBRE
nnaka2992
1
280
文字コードの話
qnighy
44
17k
野球解説AI Agentを開発してみた - 2026/02/27 LayerX社内LT会資料
shinyorke
PRO
0
260
Understanding Apache Lucene - More than just full-text search
spinscale
0
110
DSPy入門 Pythonで実現する自動プロンプト最適化 〜人手によるプロンプト調整からの卒業〜
seaturt1e
1
700
モックわからないマン卒業記 ~振る舞いを起点に見直した、フロントエンドテストにおけるモックの使いどころ~
tasukuwatanabe
2
120
AWS Infrastructure as Code の新機能 2025 総まとめ 〜SA 4人による怒涛のデモ祭り〜
konokenj
10
3.3k
エージェント開発初心者の僕がエージェントを作った話と今後やりたいこと
thasu0123
0
240
Featured
See All Featured
The B2B funnel & how to create a winning content strategy
katarinadahlin
PRO
1
300
Discover your Explorer Soul
emna__ayadi
2
1.1k
What the history of the web can teach us about the future of AI
inesmontani
PRO
1
470
Gemini Prompt Engineering: Practical Techniques for Tangible AI Outcomes
mfonobong
2
310
SEO in 2025: How to Prepare for the Future of Search
ipullrank
3
3.4k
The Power of CSS Pseudo Elements
geoffreycrofte
82
6.2k
Conquering PDFs: document understanding beyond plain text
inesmontani
PRO
4
2.5k
We Are The Robots
honzajavorek
0
200
Ethics towards AI in product and experience design
skipperchong
2
220
Leveraging LLMs for student feedback in introductory data science courses - posit::conf(2025)
minecr
1
190
Marketing Yourself as an Engineer | Alaka | Gurzu
gurzu
0
150
How to build an LLM SEO readiness audit: a practical framework
nmsamuel
1
670
Transcript
Compare Benchmarks and Compiler Optimization In Go Go Un Conference
May 27, 2019 @ po3rin
@po3rin Software Enginner @ Shiroyagi Corporation QBHF Golang / Python
/ Rust / Docker / AWS / Elasticsearch
QBHF Introduction \
QBHF 044ʹίϛοτΛࢼΈΔࡍʹɺʮͳͥ ͜ͷ࣮͕ྑ͍͔ʯΛূ໌͢Δҝʹ (Pʹ͓͚ΔϕϯνϚʔΫʹ͍ͭͯௐ ͨͷͰͦΕΛൃද͠·͢ɻ Benchmark of Go Ὂ
QBHF ɾϕϯνϚʔΫΛʮূ໌ʯʹ͑ΔΑ͏ʹͳΔ ɾϕϯνϚʔΫٻ͔ΒίϯύΠϥ࠷దԽΛআ͘ Ὂ the porpose of this talk
QBHF Review how to take a benchmark \
QBHF Review how to take a benchmark Ὂ ֤ϕϯνϚʔΫؔC/ճ෮ ͞Ε·͢ɻσϑΥϧτͰC/
͔Β࢝·Γ·͕͢ɺϕϯνϚʔ Ϋػೳ͕ඵҎʹྃͨ͠߹ C/͕૿Ճͯ͠ϕϯνϚʔΫ͕࠶ ࣮ߦ͞Ε·͢ɻ
QBHF Review how to take a benchmark Ὂ ݁ՌΛݟΔͱͱ͍͏TV⒏Y͕͍͍ͭͯ·͢ɻ͜Ε͜ͷςετΛ࣮ߦ͢ΔͨΊ ʹ༻͞Εͨ(0."9130$4ͷͰ͢ɻ͜ͷσϑΥϧτͰىಈ࣌ʹ(Pϓϩ
ηεʹݟ͑Δ$16ͷʹͳΓ·͢ɻ
QBHF -cpu Ὂ (0."9130$4DQVϑϥάͰมߋͰ͖·͢ɻνʔϜؒͰϕϯνϚʔΫΛ͍ճ ࣌͢$16ͷ͕ϕϯνϚʔΫʹӨڹΛ༩͑ͳ͍Α͏ʹҙ͕ඞཁͰ͢ɻ
QBHF -benchtime Ὂ ෮ճΛ૿͢ҝʹ CFODIUJNFϑϥάΛ༻ ͯ͠ϕϯνϚʔΫ࣌ؒΛ ૿͢͜ͱ͕Ͱ͖·͢ɻ (P͔ΒCFODIUJNF ϑϥά෮ճΛࢦఆ Ͱ͖·͢ɻ
QBHF Benchmark cost avoidance Ὂ C3FTFU5JNFS ͰηοτΞοϓͰ ൃੜ͢ΔίετΛճආͰ͖·͢ɻ ϧʔϓͷ෮͝ͱʹίετ͕ߴ͍ ηοτΞοϓ͕͋Δ߹ɺ
C4UPQ5JNFS ͓Αͼ C4UBSU5JNFS Λ༻͠·͢ɻ
QBHF Check allocations Ὂ ΞϩέʔγϣϯͷͱαΠζɺϕϯνϚʔΫͱڧ͘૬͍ؔͯ͠·͢ɻΞϩέʔ γϣϯͷΛϕϯνϚʔΫͰ֬ೝ͢Δ࣌CFODINFNΛ͍·͢ɻ
QBHF Benchmark stability \
QBHF Benchmark stability Ὂ ඦສ·ͨेԯճ΄Ͳ෮࣮ߦ͞ ΕΔϕϯνϚʔΫ͕OTdNTͷൣғ ͷͳΔ߹ɺϕϯνϚʔΫε έʔϦϯάɺϝϞϦہॴੑͳͲ༷ʑͳ ཁҼʹΑΓෆ҆ఆʹͳ͍ͬͯ·͢ɻ
QBHF Benchmark stability Ὂ ͜ͷΑ͏ͳ߹DPVOUϑ ϥάΛ༻ͯ͠ɺϕϯν ϚʔΫΛෳճ࣮ߦ͢Δ͜ ͱͰϕϯνϚʔΫͷࢄ ؚΊͯ֬ೝ͢Δͷ͕ಘࡦͰ ͢ɻ
QBHF Benchmark stability Ὂ ҰํͰϕϯνϚʔΫͷ҆ఆΛݟΔͷʹศརͳπʔϧ͕͋Γ· ͢ɻ3VTT$PYʹΑΔCFODITUBUͱ͍͏πʔϧΛհ͠·͢ɻ
QBHF Benchmark stability Ὂ CFODITUBUҰ࿈ͷϕϯνϚʔΫ ςετΛ࣮ߦͯ͠ɺͦΕΒ͕ͲΕ ΄Ͳ҆ఆ͍ͯ͠Δ͔Λڭ͑ͯ͘Ε ·͢ɻ
QBHF Comparing benchmarks \
QBHF Comparing benchmarks Ὂ ϕϯνϚʔΫؒͷύϑΥʔϚϯεͷࠩΛஅ͢Δͷ໘Ͱ͕͢ɺ CFODITUBU͜ͷղܾ͠·͢ɻ
QBHF ૣ'JC Λվྑ͍ͨ͠ͷͰ͕͢ɺίʔυΛվྑͨ͠ޙͰɺ ͏ҰվྑલͷϕϯνϚʔΫΛऔΓ͍͕ͨ࣌ग़͖ͯͨΒ Ͳ͏͠·͠ΐ͏͔ɻ࣮HPUFTUʹલճͷϕϯνϚʔΫ݁ ՌΛੜͨ͠όΠφϦΛอଘ͓ͯ͘͜͠ͱ͕Ͱ͖ΔػೳΛ ఏڙ͢ΔDϑϥοά͕ଘࡏ͠·͢ɻվྑલͷόΠφϦ໊ UFTU͔ΒHPMEFOʹมߋ͢Δͷ͕௨ྫͷΑ͏Ͱ͢ɻ -c Ὂ
QBHF ϕϯνϚʔΫΛൺֱ͢Δҝ ʹ࠶ؼݺͼग़͠Λ̍ͭݮΒ ͠·͢ɻ Reduce recursive calls Ὂ
QBHF 'JC Ͱ'JC ͱൺͯͷվྑ͕֬ೝͰ͖·͢ɻιʔείʔυͷมߋ ޙʹͲͷ͘Β͍ͷվળ͕͋ͬͨͷ͔Λূ໌͢Δͷʹ༗༻Ͱ͢ɻࢄ͕େ͖͍ϕϯ νϚʔΫΛൺֱ͢Δͱ͖ҙɻ Comparing benchmarks
Ὂ
QBHF Oɺ༗ޮͩͱݟͳ͞ΕͨσʔλͷݸΛද͠·͢ɻσʔλͷغ٫͕ˋΛ͑ Δͱൺֱ͢Δαϯϓϧ͕গͳ͗͢ΔՄೳੑ͕͋Γ·͢ɻ Q͕Λ͑Δ͜ͱϕϯνϚʔΫ͕౷ܭతʹ༗ҙͰͳ͍͜ͱΛҙຯ͠·͢ɻ Qʹ͍ͭͯԼه͕ৄ͍͠Ͱ͢ɻ ౷ܭֶతݕఆͷ1ɺ౷ܭֶతʹ༗ҙɺ༗ҙࠩɺ༗ҙਫ४ͱԿ͔ʁ IUUQUPVLFJMJOLCBTJDTUBUJTUJDTQWBMVF@BOE@TJHOJpDBODF Comparing benchmarks Ὂ
QBHF Watch out for compiler optimisations \
QBHF ਐͰදͨ͠ͱཱ͖͍ͬͯΔ ϏοτͷΛฦ͠·͢ɻ͜ͷؔ ͷϕϯνϚʔΫΛͱΓ·͠ΐ ͏ɻ compiler optimisations Ὂ
QBHF ͜ͷ݁Ռͷඵ֓ͶΫϩοΫपͰ͢ɻΑͬͯ͜ͷ͔ͳΓ͓͔͍͠Ͱ͢ɻ $16ΫϩοΫ৴߸ʹ߹Θͤͯಈ࡞͠·͢ QPQDOUϦʔϑؔ ଞͷؔݺͼग़͠Λ͠ͳ͍ ʹͳ͍ͬͯ·͢ɻɻίϯύΠϥ͜ ͷؔΛΠϯϥΠϯల։Ͱ͖·͢ɻͦͯ͠QPQDOUɺͲͷάϩʔόϧมͷঢ়ଶʹ Өڹ͠·ͤΜɻ͕ͨͬͯ͠ɺݺͼग़ࣗ͠ମ͕ഉআ͞Ε͍ͯ·͢ɻ compiler
optimisations Ὂ
QBHF ϕϯνϚʔΫΛػೳͤ͞ΔͨΊʹΠϯ ϥΠϯԽΛແޮʹ͢Δ͜ͱଞͷϕϯ νϚʔΫʹӨڹ͕͋ΔͷͰ͓͢͢Ί ͠·ͤΜɻ্̎ͭίϯύΠϥ͕ϧʔ ϓຊମΛ࠷దԽͰ͖ͳ͍Α͏ʹ͢Δͨ Ίͷਪํ๏Ͱ͢ɻ compiler optimisations Ὂ
QBHF JOMJOJOHͳͲͷίϯύΠϥ࠷దԽͷঢ়گΛ֬ೝ͢ΔʹHDqBHTΛ͍·͢ɻ -gcflags Ὂ
QBHF ͞ΒʹڧྗͳJOMJOJOH͕(P͔ΒೖͬͯΔ IUUQTEPDTHPPHMFDPNQSFTFOUBUJPOE8DCMQKQGF,X":'0NK18.@RN/RM2L/B-K1PFEJUTMJEFJEQ Mid Stack inlining Ὂ
QBHF Conclusion \
QBHF (Pʹ͓͚ΔϕϯνϚʔΫ؆୯ʹऔΕΔ͕ɺ͍ํʹҙ͕ඞཁɻ ϕϯνϚʔΫͷڥͷఏࣔ౷Ұ ϕϯνϚʔΫͷ҆ఆੑͷ֬ೝ ͓͔͍͘͠Β͍͍࣌ϕϯνϚʔΫ࣌ͷίϯύΠϥ࠷దԽͷڍಈΛ֬ೝ Conclusion Ὂ
QBHF Additional Talk \
QBHF (P$POGFSFODF'VLVPLB Ͱొஃ͠·͢ʂ
Benchmark and Compiler Optimization In Go Go Un Conference May
27, 2019 @ po3rin