{"id":38039,"date":"2026-01-22T05:00:48","date_gmt":"2026-01-22T02:00:48","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/guncelleme-yuksek-is-parcacigi-sayilarinda-t16-mimallocu-geride-birakmak\/"},"modified":"2026-01-22T05:00:48","modified_gmt":"2026-01-22T02:00:48","slug":"guncelleme-yuksek-is-parcacigi-sayilarinda-t16-mimallocu-geride-birakmak","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/guncelleme-yuksek-is-parcacigi-sayilarinda-t16-mimallocu-geride-birakmak\/","title":{"rendered":"G\u00fcncelleme: Y\u00fcksek \u0130\u015f Par\u00e7ac\u0131\u011f\u0131 Say\u0131lar\u0131nda (T=16) mimalloc’u Geride B\u0131rakmak"},"content":{"rendered":"

G\u00fcncelleme: Y\u00fcksek \u0130\u015f Par\u00e7ac\u0131\u011f\u0131 Say\u0131lar\u0131nda (T=16) mimalloc’u Geride B\u0131rakmak<\/h2>\n

\u00c7ok i\u015f par\u00e7ac\u0131kl\u0131 uygulamalar\u0131n performans\u0131, bellek y\u00f6netiminin verimlili\u011fiyle do\u011frudan ili\u015fkilidir. \u00d6zellikle y\u00fcksek i\u015f par\u00e7ac\u0131\u011f\u0131 say\u0131lar\u0131nda, bellek ay\u0131r\u0131c\u0131lar\u0131n (memory allocator) e\u015fzamanl\u0131l\u0131k, \u00f6nbellek kullan\u0131m\u0131 ve kilit \u00e7eki\u015fmesi gibi konularda g\u00f6sterdi\u011fi ba\u015far\u0131, uygulaman\u0131n genel h\u0131z\u0131n\u0131 belirler. Bu alanda uzun s\u00fcredir referans noktas\u0131 kabul edilen ve sekt\u00f6rde geni\u015f kabul g\u00f6rm\u00fc\u015f mimalloc<\/code> gibi optimize bellek y\u00f6neticileri bulunsa da, yeni bir geli\u015fme, 16 i\u015f par\u00e7ac\u0131\u011f\u0131 (T=16) gibi y\u00fcksek e\u015fzamanl\u0131l\u0131k seviyelerinde mimalloc<\/code>‘u geride b\u0131rakarak yeni bir d\u00f6nemin kap\u0131lar\u0131n\u0131 aral\u0131yor. Bu makalede, bu yeni ba\u015far\u0131y\u0131, ard\u0131ndaki teknik detaylar\u0131 ve potansiyel etkilerini derinlemesine inceleyece\u011fiz.<\/p>\n

\u00c7ok \u0130\u015f Par\u00e7ac\u0131kl\u0131 Ortamlarda Bellek Y\u00f6netiminin Zorluklar\u0131<\/h3>\n

Y\u00fcksek performansl\u0131 sistemlerde, bellek y\u00f6netimi sadece bir kayna\u011f\u0131 tahsis etmekten \u00e7ok daha fazlas\u0131d\u0131r. Birden fazla i\u015f par\u00e7ac\u0131\u011f\u0131n\u0131n ayn\u0131 anda bellek ay\u0131rma ve serbest b\u0131rakma i\u015flemleri yapmas\u0131, karma\u015f\u0131k sorunlar\u0131 beraberinde getirir.<\/p>\n

E\u015fzamanl\u0131l\u0131k ve Kilit \u00c7eki\u015fmesi<\/h4>\n

Birden fazla i\u015f par\u00e7ac\u0131\u011f\u0131 ayn\u0131 bellek havuzundan tahsisat yapmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131nda, veri tutarl\u0131l\u0131\u011f\u0131n\u0131 sa\u011flamak i\u00e7in kilit mekanizmalar\u0131na ihtiya\u00e7 duyulur. Ancak bu kilitler, i\u015f par\u00e7ac\u0131klar\u0131n\u0131n birbirini beklemesine neden olarak “kilit \u00e7eki\u015fmesi” (lock contention) yarat\u0131r. Kilit \u00e7eki\u015fmesi artt\u0131k\u00e7a, paralellikten beklenen performans kazanc\u0131 azal\u0131r ve hatta negatif y\u00f6nde etkilenebilir. Etkili bir bellek y\u00f6neticisi, kilit kullan\u0131m\u0131n\u0131 minimize etmeli veya kilitleri daha ak\u0131ll\u0131ca y\u00f6netmelidir.<\/p>\n

\u00d6nbellek Verimlili\u011fi ve Yanl\u0131\u015f Payla\u015f\u0131m<\/h4>\n

Modern i\u015flemciler, bellek eri\u015fimini h\u0131zland\u0131rmak i\u00e7in \u00f6nbellekleri kullan\u0131r. Bir i\u015f par\u00e7ac\u0131\u011f\u0131n\u0131n belirli bir bellek b\u00f6lgesine eri\u015fmesi, o b\u00f6lgenin \u00f6nbelle\u011fe al\u0131nmas\u0131na neden olur. Ancak, farkl\u0131 i\u015f par\u00e7ac\u0131klar\u0131n\u0131n birbirine yak\u0131n ama asl\u0131nda ba\u011f\u0131ms\u0131z olan bellek b\u00f6lgelerine eri\u015fmesi, “yanl\u0131\u015f payla\u015f\u0131m” (false sharing) sorununa yol a\u00e7abilir. Bu durumda, bir i\u015f par\u00e7ac\u0131\u011f\u0131n\u0131n yapt\u0131\u011f\u0131 de\u011fi\u015fiklik, di\u011fer i\u015f par\u00e7ac\u0131klar\u0131n\u0131n \u00f6nbelle\u011fini ge\u00e7ersiz k\u0131lar ve s\u00fcrekli \u00f6nbellek yenilemelerine neden olarak performans\u0131 d\u00fc\u015f\u00fcr\u00fcr. Bellek y\u00f6neticileri, tahsisatlar\u0131 \u00f6nbellek dostu bir \u015fekilde hizalayarak bu sorunu azaltmaya \u00e7al\u0131\u015f\u0131r.<\/p>\n

\u00d6l\u00e7eklenebilirlik Engelleri<\/h4>\n

\u0130\u015f par\u00e7ac\u0131\u011f\u0131 say\u0131s\u0131 artt\u0131k\u00e7a, bellek y\u00f6neticisinin performans\u0131 genellikle do\u011frusal olarak artmaz. Ortak veri yap\u0131lar\u0131na eri\u015fimdeki kilit \u00e7eki\u015fmeleri ve \u00f6nbellek tutars\u0131zl\u0131klar\u0131, \u00f6l\u00e7eklenebilirli\u011fi s\u0131n\u0131rlar. Bir bellek y\u00f6neticisinin y\u00fcksek i\u015f par\u00e7ac\u0131\u011f\u0131 say\u0131lar\u0131nda iyi performans g\u00f6stermesi i\u00e7in, i\u015f y\u00fck\u00fcn\u00fc i\u015f par\u00e7ac\u0131klar\u0131 aras\u0131nda dengeli bir \u015fekilde da\u011f\u0131tmas\u0131 ve merkezi kaynaklara ba\u011f\u0131ml\u0131l\u0131\u011f\u0131 en aza indirmesi gerekir.<\/p>\n

mimalloc: Mevcut Durum ve Ba\u015far\u0131lar\u0131<\/h3>\n

mimalloc<\/code>, Microsoft Research taraf\u0131ndan geli\u015ftirilen ve genel ama\u00e7l\u0131, y\u00fcksek performansl\u0131 bir bellek ay\u0131r\u0131c\u0131d\u0131r. Pek \u00e7ok senaryoda standart sistem ay\u0131r\u0131c\u0131lar\u0131ndan \u00e7ok daha iyi performans g\u00f6stererek b\u00fcy\u00fck bir ba\u015far\u0131 elde etmi\u015ftir.<\/p>\n

mimalloc’un Tasar\u0131m Felsefesi<\/h4>\n

mimalloc<\/code>, “i\u015f par\u00e7ac\u0131\u011f\u0131 yerel” (thread-local) bellek havuzlar\u0131 ve “sayfa tabanl\u0131” (page-based) tahsisat stratejileri \u00fczerine kuruludur. Her i\u015f par\u00e7ac\u0131\u011f\u0131, kendi k\u00fc\u00e7\u00fck bellek bloklar\u0131n\u0131 y\u00f6netir ve bu, \u00e7o\u011fu tahsisat\u0131n kilit gerektirmeden h\u0131zl\u0131ca yap\u0131lmas\u0131n\u0131 sa\u011flar. B\u00fcy\u00fck tahsisatlar veya yerel havuzlar\u0131n t\u00fckenmesi durumunda, merkezi bir havuzdan destek al\u0131n\u0131r. Bu hibrit yakla\u015f\u0131m, hem d\u00fc\u015f\u00fck gecikme s\u00fcresi hem de y\u00fcksek verimlilik sunar.<\/p>\n

Performans Metrikleri ve Sekt\u00f6rdeki Yeri<\/h4>\n

mimalloc<\/code>, \u00e7e\u015fitli benchmark testlerinde (\u00f6rne\u011fin, dLMalloc<\/code>, jemalloc<\/code>, tcmalloc<\/code> gibi di\u011fer pop\u00fcler ay\u0131r\u0131c\u0131lara kar\u015f\u0131) \u00fcst\u00fcn performans sergilemi\u015ftir. \u00d6zellikle d\u00fc\u015f\u00fck gecikme s\u00fcresi ve y\u00fcksek verimlilik sunmas\u0131, onu web sunucular\u0131, veritabanlar\u0131 ve oyun motorlar\u0131 gibi performans kritik uygulamalar i\u00e7in cazip bir se\u00e7enek haline getirmi\u015ftir. Sekt\u00f6rde, modern C++ uygulamalar\u0131nda varsay\u0131lan bellek ay\u0131r\u0131c\u0131 olarak tercih edildi\u011fi durumlar s\u0131k\u00e7a g\u00f6r\u00fclmektedir.<\/p>\n

Y\u00fcksek \u0130\u015f Par\u00e7ac\u0131\u011f\u0131 Say\u0131lar\u0131ndaki S\u0131n\u0131rlamalar\u0131 (T=16 \u00f6ncesi)<\/h4>\n

mimalloc<\/code> genel olarak \u00e7ok ba\u015far\u0131l\u0131 olsa da, i\u015f par\u00e7ac\u0131\u011f\u0131 say\u0131s\u0131 belirli bir e\u015fi\u011fi a\u015ft\u0131\u011f\u0131nda (\u00f6rne\u011fin 16 veya daha fazla), merkezi havuzlara eri\u015fimdeki kilit \u00e7eki\u015fmeleri ve i\u015f par\u00e7ac\u0131klar\u0131 aras\u0131 senkronizasyon maliyetleri, performans\u0131n\u0131 etkileyebilir. Her ne kadar mimalloc<\/code> bu t\u00fcr durumlar\u0131 optimize etmek i\u00e7in \u00e7e\u015fitli stratejiler kullansa da, mutlak \u00f6l\u00e7eklenebilirlik her zaman bir zorluk olmu\u015ftur. \u0130\u015fte tam da bu noktada, yeni bir yakla\u015f\u0131m devreye girerek bu s\u0131n\u0131rlamalar\u0131 a\u015fmay\u0131 hedefliyor.<\/p>\n

Yeni Yakla\u015f\u0131m: mimalloc’u Geride B\u0131rakan \u0130novasyonlar<\/h3>\n

mimalloc<\/code>‘u T=16 gibi y\u00fcksek i\u015f par\u00e7ac\u0131\u011f\u0131 say\u0131lar\u0131nda geride b\u0131rakan bu yeni bellek y\u00f6neticisi, mevcut en iyi uygulamalar\u0131 daha da ileriye ta\u015f\u0131yan bir dizi yenilik\u00e7i teknik kullan\u0131yor.<\/p>\n

Geli\u015ftirilmi\u015f \u0130\u015f Par\u00e7ac\u0131\u011f\u0131 Yerel Bellek Havuzlar\u0131<\/h4>\n

Yeni yakla\u015f\u0131m, i\u015f par\u00e7ac\u0131\u011f\u0131 yerel havuzlar\u0131n\u0131 daha ak\u0131ll\u0131ca y\u00f6netiyor. Her i\u015f par\u00e7ac\u0131\u011f\u0131na ayr\u0131lan bellek miktar\u0131n\u0131 dinamik olarak ayarlayarak, tahsisat kal\u0131plar\u0131na g\u00f6re havuz boyutlar\u0131n\u0131 optimize ediyor. Bu, s\u0131k yap\u0131lan k\u00fc\u00e7\u00fck tahsisatlar\u0131n neredeyse her zaman kilit gerektirmeden, \u00e7ok h\u0131zl\u0131 bir \u015fekilde ger\u00e7ekle\u015ftirilmesini sa\u011fl\u0131yor. Ayr\u0131ca, i\u015f par\u00e7ac\u0131klar\u0131 aras\u0131 bellek devir daimi (steal\/transfer) mekanizmalar\u0131 da daha verimli hale getirilmi\u015f, b\u00f6ylece bir i\u015f par\u00e7ac\u0131\u011f\u0131n\u0131n havuzu bo\u015falsa bile di\u011ferinden h\u0131zl\u0131ca kaynak temin edebiliyor.<\/p>\n

Ak\u0131ll\u0131 Kilit Mekanizmalar\u0131 ve Kilit \u00c7eki\u015fmesini Azaltma<\/h4>\n

Kilit \u00e7eki\u015fmesini azaltmak i\u00e7in, geleneksel mutex’ler yerine daha hafif ve \u00f6l\u00e7eklenebilir kilit mekanizmalar\u0131 (\u00f6rne\u011fin, spinlock’lar, atomik operasyonlar veya kilit-serbest algoritmalar) kullan\u0131l\u0131yor. \u00d6zellikle merkezi kaynaklara eri\u015fimde, kilitlerin s\u00fcresi minimuma indirilmi\u015f ve kilitlerin daha az s\u0131kl\u0131kta al\u0131nmas\u0131 sa\u011flanm\u0131\u015ft\u0131r. Bu, i\u015f par\u00e7ac\u0131klar\u0131n\u0131n birbirini bekleme s\u00fcresini \u00f6nemli \u00f6l\u00e7\u00fcde azaltarak genel verimlili\u011fi art\u0131r\u0131yor.<\/p>\n

\u00d6nbellek Dostu Veri Yap\u0131lar\u0131 ve Hizalama Stratejileri<\/h4>\n

Yanl\u0131\u015f payla\u015f\u0131m sorununu \u00e7\u00f6zmek i\u00e7in, bellek ay\u0131rma i\u015flemleri s\u0131ras\u0131nda tahsis edilen bloklar\u0131n \u00f6nbellek hatt\u0131 boyutlar\u0131na g\u00f6re hizalanmas\u0131 ve aralar\u0131na “doldurma” (padding) eklenmesi gibi stratejiler benimseniyor. Bu, farkl\u0131 i\u015f par\u00e7ac\u0131klar\u0131n\u0131n ba\u011f\u0131ms\u0131z veri yap\u0131lar\u0131na eri\u015firken birbirlerinin \u00f6nbelleklerini ge\u00e7ersiz k\u0131lmas\u0131n\u0131 engeller. Ayr\u0131ca, i\u00e7 veri yap\u0131lar\u0131n\u0131n kendileri de \u00f6nbellek dostu olacak \u015fekilde tasarlanm\u0131\u015f, b\u00f6ylece s\u0131k eri\u015filen veriler i\u015flemci \u00f6nbelle\u011finde daha uzun s\u00fcre kalabiliyor.<\/p>\n

Dinamik \u00d6l\u00e7eklendirme ve Kaynak Y\u00f6netimi<\/h4>\n

Yeni bellek y\u00f6neticisi, sistemdeki i\u015f y\u00fck\u00fcn\u00fc ve i\u015f par\u00e7ac\u0131\u011f\u0131 say\u0131s\u0131n\u0131 s\u00fcrekli izleyerek bellek kaynaklar\u0131n\u0131 dinamik olarak ayarlayabiliyor. \u00d6rne\u011fin, y\u00fcksek tahsisat talebi olan i\u015f par\u00e7ac\u0131klar\u0131na daha fazla yerel havuz alan\u0131 tahsis edebilir veya bo\u015fta duran i\u015f par\u00e7ac\u0131klar\u0131n\u0131n kaynaklar\u0131n\u0131 di\u011ferlerine y\u00f6nlendirebilir. Bu adaptif yakla\u015f\u0131m, de\u011fi\u015fen i\u015f y\u00fckleri alt\u0131nda bile optimum performans\u0131n korunmas\u0131n\u0131 sa\u011fl\u0131yor.<\/p>\n

Performans Analizi: T=16 \u0130\u015f Par\u00e7ac\u0131\u011f\u0131nda Kar\u015f\u0131la\u015ft\u0131rmal\u0131 Testler<\/h3>\n

Bu yeni bellek y\u00f6neticisinin mimalloc<\/code>‘u T=16’da geride b\u0131rakmas\u0131, titizlikle yap\u0131lm\u0131\u015f kar\u015f\u0131la\u015ft\u0131rmal\u0131 testlerle ortaya konmu\u015ftur.<\/p>\n

Test Ortam\u0131 ve Metodolojisi<\/h4>\n

Testler genellikle modern \u00e7ok \u00e7ekirdekli bir i\u015flemciye sahip bir sunucu \u00fczerinde, yeterli miktarda RAM ile ger\u00e7ekle\u015ftirilir. \u0130\u015fletim sistemi olarak Linux tercih edilir ve testler, farkl\u0131 boyutlarda ve s\u0131kl\u0131klarda bellek tahsisat\/serbest b\u0131rakma i\u015flemleri yapan sentetik i\u015f y\u00fckleri (\u00f6rne\u011fin, mallocbench<\/code>, rpmalloc-benchmark<\/code> gibi ara\u00e7lar) veya ger\u00e7ek d\u00fcnya uygulamalar\u0131ndan al\u0131nan izler kullan\u0131larak yap\u0131l\u0131r. T=16 i\u015f par\u00e7ac\u0131\u011f\u0131, ayn\u0131 anda bellek i\u015flemleri ger\u00e7ekle\u015ftirmek \u00fczere yap\u0131land\u0131r\u0131l\u0131r. Her test senaryosu birden \u00e7ok kez tekrarlan\u0131r ve ortalama de\u011ferler al\u0131n\u0131r.<\/p>\n

Gecikme (Latency) ve Verimlilik (Throughput) Sonu\u00e7lar\u0131<\/h4>\n

Yeni bellek y\u00f6neticisi, T=16 i\u015f par\u00e7ac\u0131\u011f\u0131nda mimalloc<\/code>‘a k\u0131yasla \u00f6nemli \u00f6l\u00e7\u00fcde daha d\u00fc\u015f\u00fck tahsisat\/serbest b\u0131rakma gecikmeleri sunmaktad\u0131r. Bu, \u00f6zellikle ger\u00e7ek zamanl\u0131 sistemler ve d\u00fc\u015f\u00fck gecikme s\u00fcresi gerektiren uygulamalar i\u00e7in kritik bir avantajd\u0131r. Verimlilik a\u00e7\u0131s\u0131ndan da, ayn\u0131 zaman diliminde daha fazla bellek i\u015flemi ger\u00e7ekle\u015ftirebildi\u011fi g\u00f6zlemlenmi\u015ftir. Bu, y\u00fcksek y\u00fckl\u00fc sunucu uygulamalar\u0131 i\u00e7in do\u011frudan performans art\u0131\u015f\u0131 anlam\u0131na gelir.<\/p>\n

Bellek Ayak \u0130zi ve Kaynak Kullan\u0131m\u0131<\/h4>\n

Performans\u0131n yan\u0131 s\u0131ra, bellek ayak izi (memory footprint) de \u00f6nemli bir metriktir. Yeni ay\u0131r\u0131c\u0131, mimalloc<\/code> ile benzer veya daha d\u00fc\u015f\u00fck bir bellek ayak izi sunarken ayn\u0131 zamanda daha iyi performans sa\u011flamaktad\u0131r. Bu, \u00f6zellikle bellek k\u0131s\u0131tl\u0131 ortamlarda veya \u00e7ok say\u0131da uygulaman\u0131n \u00e7al\u0131\u015ft\u0131\u011f\u0131 sunucularda \u00f6nemli bir fakt\u00f6rd\u00fcr. CPU kullan\u0131m\u0131 a\u00e7\u0131s\u0131ndan da, daha az kilit \u00e7eki\u015fmesi sayesinde, ayn\u0131 i\u015f y\u00fck\u00fcn\u00fc daha az i\u015flemci d\u00f6ng\u00fcs\u00fcyle tamamlayabildi\u011fi g\u00f6zlemlenmi\u015ftir.<\/p>\n

Kar\u015f\u0131la\u015ft\u0131rmal\u0131 Performans Verileri<\/h4>\n

A\u015fa\u011f\u0131daki tablo, T=16 i\u015f par\u00e7ac\u0131\u011f\u0131nda yap\u0131lan varsay\u0131msal bir kar\u015f\u0131la\u015ft\u0131rman\u0131n \u00f6zetini sunmaktad\u0131r:<\/p>\n

| Metrik | mimalloc (Ortalama) | Yeni Ay\u0131r\u0131c\u0131 (Ortalama) | \u0130yile\u015fme Oran\u0131 |
\n| :——————— | :—————— | :———————- | :————- |
\n| Tahsisat Gecikmesi | 120 ns | 85 ns | %29.2 |
\n| Serbest B\u0131rakma Gecikmesi | 90 ns | 60 ns | %33.3 |
\n| Verimlilik (Ops\/sn) | 1.5 Milyon | 2.1 Milyon | %40 |
\n| Bellek Ayak \u0130zi (MB) | 256 MB | 240 MB | %6.25 |
\n| CPU Kullan\u0131m\u0131 (%) | 85% | 70% | %17.6 |<\/p>\n

*Not: Bu veriler \u00f6rnek ama\u00e7l\u0131d\u0131r ve ger\u00e7ek sonu\u00e7lar test ortam\u0131na ve i\u015f y\u00fck\u00fcne g\u00f6re de\u011fi\u015fiklik g\u00f6sterebilir.*<\/p>\n

Teknik Detaylar ve Uygulama \u00d6rnekleri<\/h3>\n

Yeni bellek y\u00f6neticisinin ba\u015far\u0131s\u0131, temel algoritma yap\u0131s\u0131ndaki ve uygulama kolayl\u0131\u011f\u0131ndaki inceliklerden kaynaklanmaktad\u0131r.<\/p>\n

Temel Algoritma Yap\u0131s\u0131<\/h4>\n

Yeni ay\u0131r\u0131c\u0131, i\u015f par\u00e7ac\u0131\u011f\u0131 yerel havuzlar\u0131n\u0131 y\u00f6netmek i\u00e7in “boyut s\u0131n\u0131fland\u0131rmal\u0131” (size-class-based) bir yakla\u015f\u0131m kullan\u0131r. K\u00fc\u00e7\u00fck tahsisatlar i\u00e7in \u00f6zel olarak optimize edilmi\u015f h\u0131zl\u0131 yollar bulunurken, b\u00fcy\u00fck tahsisatlar i\u00e7in daha az s\u0131kl\u0131kta eri\u015filen merkezi bir havuz kullan\u0131l\u0131r. Merkezi havuz, “buddy sistemi” veya benzeri bir mekanizma ile y\u00f6netilebilir, ancak kilit \u00e7eki\u015fmesini azaltmak i\u00e7in “segment tabanl\u0131” (segment-based) tahsisat stratejileri ve “atomik takas” (atomic swap) gibi kilit-serbest operasyonlar yo\u011fun bir \u015fekilde kullan\u0131l\u0131r. Bellek iadesi, i\u015f par\u00e7ac\u0131\u011f\u0131 yerel olarak ba\u015flar ve kullan\u0131lmayan bellek belirli e\u015fiklere ula\u015ft\u0131\u011f\u0131nda merkezi havuza geri d\u00f6ner, bu da bellek par\u00e7alanmas\u0131n\u0131 azalt\u0131r.<\/p>\n

Kullan\u0131m Kolayl\u0131\u011f\u0131 ve Entegrasyon<\/h4>\n

Yeni bellek y\u00f6neticisi, genellikle standart C malloc<\/code>, free<\/code>, realloc<\/code> aray\u00fczlerini destekleyerek mevcut uygulamalara kolay entegrasyon imkan\u0131 sunar. \u00c7o\u011fu durumda, sadece bir k\u00fct\u00fcphane ba\u011flant\u0131s\u0131 (linking) de\u011fi\u015fikli\u011fi ile uygulamalar\u0131n yeni ay\u0131r\u0131c\u0131y\u0131 kullanmas\u0131 sa\u011flanabilir. Bu, geli\u015ftiricilerin mevcut kod tabanlar\u0131n\u0131 b\u00fcy\u00fck \u00f6l\u00e7\u00fcde de\u011fi\u015ftirmeden performans iyile\u015ftirmelerinden faydalanmas\u0131n\u0131 m\u00fcmk\u00fcn k\u0131lar.<\/p>\n

Basit Bir Kullan\u0131m Senaryosu (C\/C++ Benzeri Pseudo-kod)<\/h4>\n
#include \n#include  \/\/ Standart malloc\/free yerine yeni ay\u0131r\u0131c\u0131y\u0131 ba\u011flad\u0131\u011f\u0131m\u0131z\u0131 varsayal\u0131m\n#include \n\n\/\/ \u0130\u015f par\u00e7ac\u0131\u011f\u0131 fonksiyonu\nvoid* thread_func(void* arg) {\n    int id = *(int*)arg;\n    printf(\"Thread %d ba\u015flad\u0131.\\n\", id);\n\n    for (int i = 0; i < 100000; ++i) {\n        \/\/ K\u00fc\u00e7\u00fck bir bellek blo\u011fu tahsis et\n        char* data = (char*)malloc(64); \n        if (data == NULL) {\n            fprintf(stderr, \"Thread %d: Bellek tahsis hatas\u0131!\\n\", id);\n            break;\n        }\n        \/\/ Belle\u011fi kullan\n        data[0] = (char)id; \n        \/\/ Belle\u011fi serbest b\u0131rak\n        free(data);\n    }\n\n    printf(\"Thread %d tamamland\u0131.\\n\", id);\n    return NULL;\n}\n\nint main() {\n    int num_threads = 16;\n    pthread_t threads[num_threads];\n    int thread_ids[num_threads];\n\n    printf(\"16 i\u015f par\u00e7ac\u0131\u011f\u0131 ile bellek i\u015flemleri ba\u015flat\u0131l\u0131yor...\\n\");\n\n    for (int i = 0; i < num_threads; ++i) {\n        thread_ids[i] = i;\n        if (pthread_create(&threads[i], NULL, thread_func, &thread_ids[i]) != 0) {\n            fprintf(stderr, \"\u0130\u015f par\u00e7ac\u0131\u011f\u0131 olu\u015fturulamad\u0131 %d\\n\", i);\n            return 1;\n        }\n    }\n\n    for (int i = 0; i < num_threads; ++i) {\n        pthread_join(threads[i], NULL);\n    }\n\n    printf(\"T\u00fcm i\u015f par\u00e7ac\u0131klar\u0131 tamamland\u0131. Bellek y\u00f6neticisi ba\u015far\u0131yla kullan\u0131ld\u0131.\\n\");\n\n    return 0;\n}<\/pre>\n
<\/code>
\nBu \u00f6rnekte, malloc<\/code> ve free<\/code> \u00e7a\u011fr\u0131lar\u0131, arka planda yeni, optimize edilmi\u015f bellek y\u00f6neticisi taraf\u0131ndan i\u015flenmektedir. Bu sayede, geli\u015ftiriciler mevcut kodlar\u0131n\u0131 minimal de\u011fi\u015fikliklerle y\u00fcksek performansl\u0131 bir bellek y\u00f6neticisiyle \u00e7al\u0131\u015ft\u0131rabilirler.<\/p>\n
Gelecek Perspektifi ve Potansiyel Uygulama Alanlar\u0131<\/h3>\n
mimalloc<\/code>'u T=16'da geride b\u0131rakan bu yeni nesil bellek y\u00f6neticisi, bir\u00e7ok alanda \u00f6nemli faydalar sa\u011flayabilir.<\/p>\n
Bulut Bili\u015fim ve Y\u00fcksek Performansl\u0131 Hesaplama<\/h4>\n
Bulut ortamlar\u0131, \u00e7ok kirac\u0131l\u0131 (multi-tenant) yap\u0131lar ve y\u00fcksek yo\u011funluklu sanalla\u015ft\u0131rma nedeniyle bellek y\u00f6netiminin kritik oldu\u011fu yerlerdir. Yeni ay\u0131r\u0131c\u0131, sunucu ba\u015f\u0131na daha fazla i\u015f y\u00fck\u00fcn\u00fcn bar\u0131nd\u0131r\u0131lmas\u0131na olanak tan\u0131yarak bulut sa\u011flay\u0131c\u0131lar\u0131 i\u00e7in maliyet tasarrufu ve m\u00fc\u015fterileri i\u00e7in daha iyi performans sunabilir. Y\u00fcksek Performansl\u0131 Hesaplama (HPC) k\u00fcmelerinde, karma\u015f\u0131k sim\u00fclasyonlar\u0131n ve veri analizlerinin daha h\u0131zl\u0131 tamamlanmas\u0131n\u0131 sa\u011flayabilir.<\/p>\n
Oyun Motorlar\u0131 ve Ger\u00e7ek Zamanl\u0131 Sistemler<\/h4>\n
Oyun motorlar\u0131, s\u00fcrekli olarak bellek tahsisat\u0131 ve serbest b\u0131rakma i\u015flemleri yapar. D\u00fc\u015f\u00fck gecikme s\u00fcresi ve y\u00fcksek verimlilik, ak\u0131c\u0131 bir oyun deneyimi i\u00e7in hayati \u00f6neme sahiptir. Yeni bellek y\u00f6neticisi, oyun i\u00e7i nesnelerin, efektlerin ve animasyonlar\u0131n daha h\u0131zl\u0131 y\u00f6netilmesini sa\u011flayarak daha p\u00fcr\u00fczs\u00fcz ve tepkisel oyunlar geli\u015ftirilmesine katk\u0131da bulunabilir. Benzer \u015fekilde, finansal ticaret platformlar\u0131 gibi ger\u00e7ek zamanl\u0131 sistemlerde milisaniyelerin bile \u00f6nemli oldu\u011fu durumlarda b\u00fcy\u00fck avantajlar sunar.<\/p>\n
B\u00fcy\u00fck Veri ve Yapay Zeka \u0130\u015f Y\u00fckleri<\/h4>\n
B\u00fcy\u00fck veri i\u015fleme \u00e7er\u00e7eveleri (Spark, Hadoop vb.) ve yapay zeka\/makine \u00f6\u011frenimi modelleri (TensorFlow, PyTorch) yo\u011fun bellek kullan\u0131m\u0131yla bilinir. Bu sistemler genellikle \u00e7ok say\u0131da i\u015f par\u00e7ac\u0131\u011f\u0131 veya s\u00fcre\u00e7 kullanarak paralel hesaplamalar yapar. Yeni bellek y\u00f6neticisi, bu t\u00fcr i\u015f y\u00fcklerinin daha h\u0131zl\u0131 y\u00fcr\u00fct\u00fclmesini, bellek ayak izinin optimize edilmesini ve genel olarak daha verimli bir kaynak kullan\u0131m\u0131n\u0131 sa\u011flayabilir.<\/p>\n
Sonu\u00e7<\/h3>\n
\u00c7ok i\u015f par\u00e7ac\u0131kl\u0131 uygulamalarda bellek y\u00f6netiminin performans\u0131, uygulaman\u0131n genel ba\u015far\u0131s\u0131 i\u00e7in hayati \u00f6neme sahiptir. mimalloc<\/code> gibi sekt\u00f6r lideri bellek ay\u0131r\u0131c\u0131lar\u0131n bile y\u00fcksek i\u015f par\u00e7ac\u0131\u011f\u0131 say\u0131lar\u0131nda belirli s\u0131n\u0131rlamalara sahip oldu\u011fu bir ortamda, T=16 gibi kritik bir e\u015fikte mimalloc<\/code>'u geride b\u0131rakan yeni bir bellek y\u00f6neticisinin ortaya \u00e7\u0131k\u0131\u015f\u0131, bilgisayar bilimleri alan\u0131nda \u00f6nemli bir ilerlemeyi temsil etmektedir. Geli\u015ftirilmi\u015f i\u015f par\u00e7ac\u0131\u011f\u0131 yerel havuzlar\u0131, ak\u0131ll\u0131 kilit mekanizmalar\u0131, \u00f6nbellek dostu veri yap\u0131lar\u0131 ve dinamik \u00f6l\u00e7eklendirme gibi inovasyonlar sayesinde, bu yeni yakla\u015f\u0131m, hem gecikme s\u00fcresi hem de verimlilik a\u00e7\u0131s\u0131ndan dikkat \u00e7ekici iyile\u015ftirmeler sunmaktad\u0131r. Bu ba\u015far\u0131, bulut bili\u015fimden oyun geli\u015ftirmeye, b\u00fcy\u00fck veri analizinden yapay zekaya kadar bir\u00e7ok sekt\u00f6rde y\u00fcksek performansl\u0131 uygulamalar\u0131n geli\u015ftirilmesinin \u00f6n\u00fcn\u00fc a\u00e7acak ve gelecekteki sistem tasar\u0131mlar\u0131 i\u00e7in yeni bir referans noktas\u0131 olu\u015fturacakt\u0131r.<\/p>\n
SSS (S\u0131k Sorulan Sorular)<\/h3>\n
Bu yeni bellek y\u00f6neticisi mimalloc'un yerini tamamen alacak m\u0131?<\/h4>\n
Tamamen yerini al\u0131p almayaca\u011f\u0131, benimsenme oran\u0131na ve farkl\u0131 i\u015f y\u00fcklerindeki genel performans\u0131na ba\u011fl\u0131 olacakt\u0131r. Ancak, \u00f6zellikle y\u00fcksek i\u015f par\u00e7ac\u0131\u011f\u0131 say\u0131lar\u0131nda performans kritik uygulamalar i\u00e7in g\u00fc\u00e7l\u00fc bir alternatif olarak \u00f6ne \u00e7\u0131kmaktad\u0131r.<\/p>\n
Hangi programlama dilleriyle uyumlu?<\/h4>\n
Genellikle C\/C++ uygulamalar\u0131 i\u00e7in tasarlanm\u0131\u015ft\u0131r ve standart malloc<\/code>\/free<\/code> aray\u00fcz\u00fcn\u00fc destekledi\u011fi i\u00e7in bu dillerle yaz\u0131lm\u0131\u015f \u00e7o\u011fu uygulamaya kolayca entegre edilebilir. Di\u011fer diller (\u00f6rne\u011fin Rust, Go, Java) kendi bellek y\u00f6neticilerine sahip olsa da, C\/C++ k\u00fct\u00fcphaneleri arac\u0131l\u0131\u011f\u0131yla bu ay\u0131r\u0131c\u0131dan faydalanabilirler.<\/p>\n
A\u00e7\u0131k kaynak m\u0131 olacak?<\/h4>\n
Bu t\u00fcr y\u00fcksek performansl\u0131 bellek y\u00f6neticileri genellikle a\u00e7\u0131k kaynak toplulu\u011funun bir par\u00e7as\u0131 olarak geli\u015ftirilir ve payla\u015f\u0131l\u0131r. Bu, \u015feffafl\u0131k, topluluk katk\u0131s\u0131 ve geni\u015f benimsenme i\u00e7in \u00f6nemlidir. Ancak, spesifik projenin lisans durumu proje duyurusu ile netle\u015fecektir.<\/p>\n
Daha d\u00fc\u015f\u00fck i\u015f par\u00e7ac\u0131\u011f\u0131 say\u0131lar\u0131nda performans\u0131 nas\u0131l?<\/h4>\n
Genellikle, y\u00fcksek i\u015f par\u00e7ac\u0131\u011f\u0131 say\u0131lar\u0131nda iyi performans g\u00f6steren bir ay\u0131r\u0131c\u0131, d\u00fc\u015f\u00fck i\u015f par\u00e7ac\u0131\u011f\u0131 say\u0131lar\u0131nda da iyi performans sergiler. Ancak, d\u00fc\u015f\u00fck i\u015f par\u00e7ac\u0131\u011f\u0131 say\u0131lar\u0131nda mimalloc<\/code> veya di\u011fer optimize ay\u0131r\u0131c\u0131larla aras\u0131ndaki fark daha az belirgin olabilir. Temel hedefi, T=16 gibi y\u00fcksek e\u015fiklerdeki \u00f6l\u00e7eklenebilirlik sorunlar\u0131n\u0131 \u00e7\u00f6zmektir.<\/p>\n","protected":false},"excerpt":{"rendered":"G\u00fcncelleme: Y\u00fcksek \u0130\u015f Par\u00e7ac\u0131\u011f\u0131 Say\u0131lar\u0131nda (T=16) mimalloc’u Geride B\u0131rakmak\n\u00c7ok i\u015f par\u00e7ac\u0131kl\u0131 uygulamalar\u0131n performans\u0131, bellek y\u00f6netim…","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_page_header_type":"","csco_page_load_nextpost":"","csco_page_subscribe_form":"","csco_page_contact_form":"","footnotes":""},"categories":[1],"tags":[],"class_list":{"0":"post-38039","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-genel","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"\nG\u00fcncelleme: Y\u00fcksek \u0130\u015f Par\u00e7ac\u0131\u011f\u0131 Say\u0131lar\u0131nda (T=16) mimalloc'u Geride B\u0131rakmak - Kodlar\u0131n Gizemli D\u00fcnyas\u0131<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fatihsoysal.com\/blog\/guncelleme-yuksek-is-parcacigi-sayilarinda-t16-mimallocu-geride-birakmak\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"G\u00fcncelleme: Y\u00fcksek \u0130\u015f Par\u00e7ac\u0131\u011f\u0131 Say\u0131lar\u0131nda (T=16) mimalloc'u Geride B\u0131rakmak\" \/>\n<meta property=\"og:description\" content=\"G\u00fcncelleme: Y\u00fcksek \u0130\u015f Par\u00e7ac\u0131\u011f\u0131 Say\u0131lar\u0131nda (T=16) mimalloc'u Geride B\u0131rakmak \u00c7ok i\u015f par\u00e7ac\u0131kl\u0131 uygulamalar\u0131n performans\u0131, bellek y\u00f6netim...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/fatihsoysal.com\/blog\/guncelleme-yuksek-is-parcacigi-sayilarinda-t16-mimallocu-geride-birakmak\/\" \/>\n<meta property=\"og:site_name\" content=\"Kodlar\u0131n Gizemli D\u00fcnyas\u0131\" \/>\n<meta property=\"article:published_time\" content=\"2026-01-22T02:00:48+00:00\" \/>\n<meta name=\"author\" content=\"Fatih Soysal\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Yazan:\" \/>\n\t<meta name=\"twitter:data1\" content=\"Fatih Soysal\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tahmini okuma s\u00fcresi\" \/>\n\t<meta name=\"twitter:data2\" content=\"14 dakika\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/guncelleme-yuksek-is-parcacigi-sayilarinda-t16-mimallocu-geride-birakmak\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/guncelleme-yuksek-is-parcacigi-sayilarinda-t16-mimallocu-geride-birakmak\/\"},\"author\":{\"name\":\"Fatih Soysal\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"headline\":\"G\u00fcncelleme: Y\u00fcksek \u0130\u015f Par\u00e7ac\u0131\u011f\u0131 Say\u0131lar\u0131nda (T=16) mimalloc’u Geride B\u0131rakmak\",\"datePublished\":\"2026-01-22T02:00:48+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/guncelleme-yuksek-is-parcacigi-sayilarinda-t16-mimallocu-geride-birakmak\/\"},\"wordCount\":2647,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"inLanguage\":\"tr\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/fatihsoysal.com\/blog\/guncelleme-yuksek-is-parcacigi-sayilarinda-t16-mimallocu-geride-birakmak\/#respond\"]}],\"copyrightYear\":\"2026\",\"copyrightHolder\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/guncelleme-yuksek-is-parcacigi-sayilarinda-t16-mimallocu-geride-birakmak\/\",\"url\":\"https:\/\/fatihsoysal.com\/blog\/guncelleme-yuksek-is-parcacigi-sayilarinda-t16-mimallocu-geride-birakmak\/\",\"name\":\"G\u00fcncelleme: Y\u00fcksek \u0130\u015f Par\u00e7ac\u0131\u011f\u0131 Say\u0131lar\u0131nda (T=16) mimalloc'u Geride B\u0131rakmak - 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