64核心2025詳細攻略!(持續更新)

例如,目前有許多機器有著使用64位元匯流排的32位元處理器(如最初的Pentium和之後的CPU,但Intel的32位元CPU的位址匯流排寬度最大為36位元),因此有時會被稱作「64位元」。 同樣的,某些16位元處理器(如MC68000)指的是16/32位元處理器具有16位元的匯流排,不過內部也有一些32位元的效能。 這一術語也可能指電腦指令集的指令長度,或其它的資料項(如常見的64位元雙精度浮點數)。 去掉進一步的條件,「64位元」電腦架構一般具有64位元寬的整數型暫存器,它可支援(內部和外部兩者)64位元「區塊」(chunk)的整數型資料。 Intel 技術可能需要搭配支援的硬體、軟體或服務啟動。 // Intel 承諾致力於尊重人權,並極力避免成為侵害人權的共謀。

多從集大小核心混搭可以獲得更高的核心利用率,同樣在手機裏面也非常講究單核和多核性能,那麼這兩者到底哪個更重要呢? 只能說兩者都很重要,如果非要問差距,那麼就是安卓多核相對重要一些,蘋果單核相對更重要。 這次,AMD第四代EPYC 9004系列伺服器,與第三代EPYC 9004系列伺服器一樣,同時支援單路(1-Way,1-CPU)與雙路(2-Way,2-CPU)架構。

64核心: AMD Ryzen ThreadRipper 3990X 64核心/128線程,2.9GHz ,280W,7nm工藝

然而,大多數情況下所需的修改是相對次要且簡單,而且許多編寫良好的程式可以簡單的重新編譯給新的環境,而無須修改。 另一個選擇是LLP64模型,其維持32位元代碼的相容性,使int和long為32位元。 「LL」指「long 64核心 long」型態,其在所有平臺下至少是64位元,包括32位元環境。 應當指出,在比較32位元和64位元處理器時,速度並不是唯一的考量因素。 應用程式,如多工、應力測試(stress testing)、叢集(clustering,用於HPC)可能更適合64位元架構以正確部署。

  • DEC釋出OpenVMS Alpha 7.0,第一個全64位元版本的OpenVMS for Alpha。
  • 新一代64核心CPU的出現,將會如何影響未來伺服器設計,對於企業採用又將會帶來哪些影響,以下10個Q&A告訴你。
  • 在性能上,新的 Mac Pro 自然會更強,除了更強大的 AMD GPU 外,自研的處理器將會更加綻放異彩,爆料稱其將會基於 3nm 工藝,蘋果會進一步提升多核性能表現,有 32 核、48 核和 64 核三個版本,應足以應付更多線程。
  • Intel® 記憶體保護擴充 (Intel® MPX) 提供一組硬體功能,可讓軟體結合編譯器的變更,用來檢查編譯時的記憶體參照不會因為緩衝區上溢或下溢而在執行階段變得不安全。
  • 全新的 AMD EPYC「Milan」7003 系列,換上與 Ryzen 5000 系列相同的 Zen 3 微架構,並採用臺積電 7 奈米製程。
  • Intel® 渦輪加速技術能夠依需求動態增加處理器的頻率,利用溫度與電力的餘裕空間,在您需要時即時提高運算效能,並在負載較低時達成更優異的省電效率。

64核128線程的羅馬處理器在多線程性能上毫無疑問會是新一代處理器之王,不過核心數增多之後處理器的頻率還能有多高? 這個問題將會影響AMD EPYC甚至Ryzen銳龍處理器的單核性能,這點也很重要。 A:因為筆電這項產品是整組套件非零件並同時包含作業系統,因此諸多原廠皆有其規定,如遇上新品故障我們一律依照各品牌原廠規定來辦理,過程絕非刁難敬請見諒。 網拍有人強調是全新不拆封,好處是不會有拆開的行為,但是壞處也不是沒有,如果有任何配件短缺或是新機刮傷的情況產生,賣家會認帳嗎?

64核心: Apple Watch Ultra 評測 Part 3:Oceanic+ 真・潛水電腦 app 正式推出

1995年:Sun推出64位元SPARC處理器UltraSPARC。 富士通所有的HAL電腦系統推出以64位元CPU為基礎的工作站,HAL獨立設計的第一代SPARC64。 IBM釋出64位元AS/400系統,能夠轉換作業系統、資料庫、應用程式的升級。 DEC釋出OpenVMS Alpha 7.0,第一個全64位元版本的OpenVMS for Alpha。 今天市面上大部分的消費級PC存在著人為的記憶體限制,因受限於實體上的限制,而幾乎不太可能需要用到16EB的容量。

  • Mac Studio 的正面與背面共有 12 個高效能連接埠,使用便捷,供你盡情打造夢幻工作室。
  • 目前,Intel 在伺服器競爭市場仍舊具備相當大的優勢和市佔率,但仍有不少客戶看上 AMD 於效能面的巨大優勢,因而紛紛轉移了合作對象。
  • 主板搭載Intel AX200 WiFI 6無線網卡,在這個價位的主板提供這樣的網卡,也算是非常豪華的配置了。
  • 除了先前以HPC應用為主、主打多核心協同處理器的Xeon Phi加速運算產品線,英特爾最近在發表第2代Xeon Scalable系列處理器時,特別替CPU加大核心,最多達到了56核心,直逼AMD家的64核處理器。
  • 64 位架構無疑可應用在需要處理大量數據的應用程序,如數碼視頻、科學運算、和早期的大型數據庫。
  • 例如,Windows XP DLL以及userland OS元件對映到每一個行程的位址空間,即使電腦裝有4 GB的記憶體,也僅剩下2至3.8 GB(端視其設定)的可用位址空間。
  • 由於是目前最強大的桌上型處理器,短時間內可能沒有其他產品超過,可說是近期處理器發展的新里程碑。

然而,免費或自由軟體作業系統的使用者已經可以使用專有的64位元運算環境。 並非所有的應用程式都需要大量的位址空間或操作64位元資料項,所以這些程式不會享受到較大的位址空間或較寬的暫存器和資料路徑的好處;主要受益於64位元版本的應用程式,並不會享受到使用x86的版本,會有更多的暫存器可以使用。 1991年:MIPS科技公司生產第一臺64位元微處理器,作為MIPS RISC架構R4000的第三次修訂版本。

64核心: 手機 通訊產品

Intel 產品和軟體的應用必須避免導致或對國際公認人權造成侵害。 與支援的軟體結合時,Intel® 64 架構能夠在伺服器、工作站、桌上型電腦及行動平臺上達到 64 位元的運算效用。 ¹ Intel 64 架構允與系統處理 4 GB 以上的虛擬及實體記憶體,因此能夠提升效能。 在現代的操作系統中,驅動程序彌補了大多數的操作系統代碼(儘管許多代碼可能不會加載,當操作系統執行時)。 許多驅動程序大量使用指針操控數據,且在某些情況下必須讀入一定大小的指針進入支持 DMA 的硬件。

該款 CPU 使用於以 IRIS Crimson 啓動的 SGI 圖形工作站。 然而,IRIX 操作系統並未包含對 R4000 的 64位支持,直到 1996 年發佈 IRIX 6.2 爲止。 Kendall Square Research 發表他們的第一臺 KSR1 超級電腦,以專有的運行於 OSF/1 64核心2025 的 64位 RISC 處理器架構爲基礎。

64核心: 效能規格

其缺點是在LP64模型中將long存放到int可能會溢位。 64核心 另一方面,還會使強制轉型一個指標為long可以作用;在LLP模型下,情況則剛好相反。 必須謹慎使用ptrdiff_t型態(在標準表頭中)兩個指標相減的結果;太多代碼寧可不正確的使用「int」或「long」。 表示一個指標(而不是指標差異)為一個整數,在此可以使用uintptr_t(它只定義在C99中,不過某些編譯器另外整合較早版本的標準以提供之,作為一個擴充)。

64核心

另一個選擇是 ILP64 數據模型,三種數據型態都是 64 位寬,甚至 SILP64 連“short”變量也是 64 位寬。 然而,大多數情況下所需的修改是相對次要且簡單,而且許多編寫良好的程序可以簡單的重新編譯給新的環境,而無須修改。 另一個選擇是 LLP64 模型,其維持 32 位代碼的兼容性,使 int 和 long 爲 32 位。 “LL”指“long long”型態,其在所有平臺下至少是 64 位,包括 32 位環境。 必須謹慎使用 ptrdiff_t 型態(在標準表頭 中)兩個指針相減的結果;太多代碼寧可不正確的使用“int”或“long”。 表示一個指針(而不是指針差異)爲一個整數,在此可以使用 uintptr_t(它只定義在 C99 中,不過某些編譯器另外集成較早版本的標準以提供之,作爲一個擴充)。

64核心: 電腦軟體安裝光碟– WINDOWS 10 家用完整版 (64位元) 純光碟, 沒有序號金鑰

Intel官方是給EM64T這樣定義的:EM64T全稱Extended Memory 64 Technology,即擴展64bit內存技術。 EM64T是Intel IA-32架構的擴展,即IA-32e(Intel Architectur-32 extension)。 IA-32處理器通過附加EM64T技術,便可在兼容IA-32軟件的情況下,允許軟件利用更多的內存地址空間,並且允許軟件進行32 bit線性地址寫入。

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” width=”607px” alt=”64核心”/>

DEC 發佈 OpenVMS Alpha 7.0,第一個全 64位版本的 OpenVMS for Alpha。 AMD Rome、Intel Cascade Lake……兩家的下一代高性能計算平臺都風雨欲來,尤其是前者,首發採用7nm工藝,搭配Zen 2全新架構,使得EPYC霄龍處理器最多可以做到64核心128線程。 通過堆核心也可以一定程度的延緩摩爾定律,舉個例子,目前最新的酷睿i7,如果跑多核任務,比如渲染工作,可能還打不過老掉牙的至強E5,所以只要遊戲或者應用往多核方面發展,那麼到時候就可以通過堆核心提升性能了。 反正只要散熱壓的住,電費不算什麼,500W似乎也不算多高的功耗。 在新一代的Threadripper處理器平臺是TRX40平臺,AMD採用新的TRX4插槽,因此也就它不會向後兼容現有的X399主板了,不果對於Threadripper 3990X目前所知的信息還不多,CPU頻率、內存支持情況,PCI-E通道數量和價格等方面都還未知。 在這次發表中,EPYC 7763 擁有 64 核心 128 執行緒,基本時脈 2.45GHz,最大超頻時脈為 3.50GHz,但 TDP 僅 280W,L3 快取記憶體則是驚人的 256MB,最多支援 8 通道 DDR 記憶體。

64核心: 支援 ECC 記憶體 ‡

基本上在兩大廠近來主推的「創作者」市場裡,AMD 目前看來是居於領先地位,而雖然還不能說已經攻佔上了 Intel 堅守的伺服器、工作站市場,但 Intel 確實是有扭緊發條的理由了。 AMD 64核心 發表備受期待的 AMD Ryzen Threadripper 3990X 處理器,為全球首款 64 核心桌上型處理器,預計將於 2020 年 2 月 7 日上市。 世界各地的內容創作者可以通過全球相關零售商和系統整合商購買這款業界領先的處理器。 當然如果真的要找不足,那就只能說AMD在內存性能方面不如Intel,因爲是採用CCX模塊化設計,一個CCX模塊是8核16線程設計,因此64核心就是8個CCX模塊,模塊直接的通信存在時延,天然的在內存性能上不如Intel的一體化設計。 雖然說 AMD 直到今天才正式發表 EPYC Milan 處理器,但事實上,去年開始 AMD 就已經陸續將 CPU 交給部分雲端服務合作夥伴,以及擁有超大伺服器規模的企業客戶。

全新的 AMD EPYC「Milan」7003 64核心 系列,換上與 Ryzen 5000 系列相同的 Zen 3 微架構,並採用臺積電 7 奈米製程。 根據 AMD 官方說法,第三代的 EPYC CPU 最多能有 19% 的 IPC 提升,為企業帶來更強大的運算效能。 A:若您有購買正版作業系統時,客服人員會主動詢問分割方式,除此之外不提供無系統分割服務,一來是在您自行安裝作業系統時,安裝過程便會主動要求,二來是為免跟新版的作業系統分割方式不同導致反效果,所以我們建議分割動作留給系統安裝執行。 以高階語言編寫的應用軟體,從32位元架構轉換到64位元架構的各種困難。 一個共同的問題是,部分程式員假定指標如同其它資料型態一樣有相同的長度。

64核心: Intel 八核 Comet Lake 效能再加碼!Turbo 時脈上限推至 5.3GHz

根據AMD提供的內部測試數據,不論是在雲端執行環境、企業關鍵應用、或高效能應用測試,64核心處理器的平均效能,都取得高於英特爾Xeon Scalable系列處理器多達8成到9成。 這是因為,AMD在設計這款CPU時,採用了和主流多核CPU設計截然不同的多晶片封裝設計(Multi-Chip-Module),不只可以在單一CPU整合更多核心,同時也具有降低功耗與改善生產良率的特性。 使得以往非主流的MCM技術,成了現在新一代處理器加大核心的關鍵技術。

64核心: 電腦王網站地圖

然而,免費或自由軟件操作系統的使用者已經可以使用專有的 64 64核心 位運算環境。 並非所有的應用程序都需要大量的地址空間或操作 64 位數據項,所以這些程序不會享受到較大的地址空間或較寬的寄存器和數據路徑的好處;主要受益於 64 位版本的應用程序,並不會享受到使用 x86 的版本,會有更多的寄存器可以使用。 64 位架構主要的缺點是,相對於 32 位架構,佔用相同的數據會消秏更多的內存空間(由於腫脹的指針,以及其它型態和對齊補白等可能)。 這會增加進程對內存的需求,且可能會影響高效能處理器高速緩存的使用。 維持一部分的 32 位模型是一個處理方法,且大致合理有效。

64核心: 處理器未來展望

以在內核裏的額外消耗爲代價,如此可爲使用者提供受益於 64 位的內存和效能,且不破壞現存 32 位驅動程序的二進制兼容性。 這個機制源於 Mac OS X 啓用 64 位進程,同時支持 32 位的驅動程序。 幾乎所有常見的主流處理器(大部分的 ARM 和 32 位 MIPS 實作是明顯的例外)集成了浮點數硬件,它有可能使用 64 位寄存器保存數據,以供處理。 例如,x86 架構包含了 x87 浮點數指令,並使用 8 個 80 位寄存器構成堆棧結構。

注意,程序設計模型是在預編譯器底層選擇的,且數個模型可共存於同一操作系統。 然而一般由 OS API 選擇程序設計模型作爲原始模型。 然而,在 64 位機器下的許多程序設計環境,“int”變量仍然是 32 位寬,不過“long”和指針是 64 位寬,上述內容稱爲 LP64 數據模型。