{"id":121408,"date":"2026-02-17T12:24:09","date_gmt":"2026-02-17T12:24:09","guid":{"rendered":"https:\/\/ekamu.net\/?p=121408"},"modified":"2026-02-17T12:24:09","modified_gmt":"2026-02-17T12:24:09","slug":"moore-threads-gpu-compute-driver-benchi-duyurdu","status":"publish","type":"post","link":"https:\/\/ekamu.net\/index.php\/2026\/02\/17\/moore-threads-gpu-compute-driver-benchi-duyurdu\/","title":{"rendered":"Moore Threads, GPU Compute Driver Bench&#8217;i duyurdu"},"content":{"rendered":"<p><figure> <span> <img decoding=\"async\" src=\"https:\/\/ekamu.net\/wp-content\/uploads\/2026\/02\/moore-threads-gpu-compute-driver-benchi-duyurdu-0-p44E68k3.jpg\"\/> <\/span> \u00c7in merkezli GPU \u00fcreticisi <strong>Moore Threads<\/strong>, s\u00fcr\u00fcc\u00fc seviyesinde performans \u00f6l\u00e7\u00fcm\u00fc yapan <strong>GPU Compute Driver Bench<\/strong> arac\u0131n\u0131 a\u00e7\u0131k kaynak olarak yay\u0131nlad\u0131. GitHub \u00fczerinden Apache 2.0 lisans\u0131 ile payla\u015f\u0131lan yaz\u0131l\u0131m, GPU compute s\u00fcr\u00fcc\u00fclerinin y\u00fck alt\u0131ndaki davran\u0131\u015f\u0131n\u0131 detayl\u0131 bi\u00e7imde analiz etmeyi hedefliyor. <\/figure>\n<p><b>GPU s\u00fcr\u00fcc\u00fclerini a\u00e7\u0131k kaynak yapt\u0131<\/b><\/p>\n<p>\u015eirketin a\u00e7\u0131klamas\u0131na g\u00f6re Compute Driver Bench, s\u00fcr\u00fcc\u00fc tasar\u0131m\u0131n\u0131n performans ve gecikme \u00fczerindeki etkisini \u00f6l\u00e7meye odaklan\u0131yor. \u00d6zellikle hesaplama ve bellek yo\u011fun i\u015f y\u00fcklerinde s\u00fcr\u00fcc\u00fc kaynakl\u0131 ek y\u00fck\u00fc (overhead) ortaya koymay\u0131 ama\u00e7layan ara\u00e7, farkl\u0131 \u00fcreticiler ve platformlar aras\u0131nda tekrarlanabilir kar\u015f\u0131la\u015ft\u0131rmalar yap\u0131lmas\u0131na imkan tan\u0131yor.<\/p>\n<p>Benchmark paketi, zamanlama (scheduling), <strong>\u00e7oklu ak\u0131\u015f y\u00f6netimi, bellek i\u015flemleri, \u00e7oklu GPU ileti\u015fimi<\/strong> ve<strong> kaynak y\u00f6netimi<\/strong> olmak \u00fczere be\u015f temel alanda \u00f6l\u00e7\u00fcm ger\u00e7ekle\u015ftiriyor. Depoda 30&#8217;dan fazla alt test, puanlama ve referans sistemi ile otomatik test \u00e7al\u0131\u015ft\u0131rma script&#8217;leri yer al\u0131yor. Ayr\u0131ca MUSA ve CUDA ara\u00e7 zincirleri i\u00e7in derleme deste\u011fi sunulurken, <strong>CUDA ile MUSA aras\u0131nda ge\u00e7i\u015fi kolayla\u015ft\u0131ran<\/strong> yard\u0131mc\u0131 ara\u00e7lar da pakete dahil edilmi\u015f durumda.<\/p>\n<p>Bu hamle, Moore Threads&#8217;in Aral\u0131k ay\u0131nda duyurdu\u011fu &#8220;Huagang&#8221; mimarisi g\u00fcncellemesinin ard\u0131ndan geldi. \u015eirket yeni mimariyle FP4&#8217;ten FP64&#8217;e uzanan destek, art\u0131r\u0131lm\u0131\u015f hesaplama yo\u011funlu\u011fu ve MTLink \u00fczerinden 100 bin GPU&#8217;ya kadar \u00f6l\u00e7eklenebilirlik gibi iddial\u0131 hedefler ortaya koymu\u015ftu. Compute Driver Bench&#8217;in a\u00e7\u0131k kaynak yap\u0131lmas\u0131, \u00f6zellikle geli\u015ftiriciler ve sistem entegrat\u00f6rleri i\u00e7in MUSA ekosistemini daha \u015feffaf ve \u00f6l\u00e7\u00fclebilir hale getirme amac\u0131 ta\u015f\u0131yor.<\/p>\n\n<p><span style=\"display: block; width: 343.125px; color: rgb(55, 58, 60); font-size: 14px; background-color: rgb(255, 249, 236);\"><\/span><\/p>\n<p>Kaynak :\u00a0<span style=\"background-color: rgb(255, 249, 236); color: rgb(55, 58, 60); font-size: 14px;\">https:\/\/www.donanimhaber.com\/moore-threads-gpu-compute-driver-bench-i-duyurdu&#8211;202193<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u00c7in merkezli GPU \u00fcreticisi Moore Threads, s\u00fcr\u00fcc\u00fc seviyesinde performans \u00f6l\u00e7\u00fcm\u00fc yapan GPU Compute Driver Bench arac\u0131n\u0131 a\u00e7\u0131k kaynak olarak yay\u0131nlad\u0131. GitHub \u00fczerinden Apache 2.0 lisans\u0131 ile payla\u015f\u0131lan yaz\u0131l\u0131m, GPU compute s\u00fcr\u00fcc\u00fclerinin y\u00fck &#8230;<\/p>\n","protected":false},"author":1,"featured_media":121409,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[523,280],"class_list":["post-121408","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-teknoloji","tag-gpu","tag-surucu"],"_links":{"self":[{"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/posts\/121408","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/comments?post=121408"}],"version-history":[{"count":1,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/posts\/121408\/revisions"}],"predecessor-version":[{"id":121411,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/posts\/121408\/revisions\/121411"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/media\/121409"}],"wp:attachment":[{"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/media?parent=121408"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/categories?post=121408"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ekamu.net\/index.php\/wp-json\/wp\/v2\/tags?post=121408"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}