Split Stacks Unnecessary on x86_64?
The topic of split stacks in runtime models has raised questions about their necessity on 64-bit architectures like x86_64. Some opinions suggest that split stacks are no longer required due to the expanded address space available.
Answer to Question 1: Interpretation of Opinions
Yes, the opinions quoted in the question imply that split stacks are unnecessary on x86_64 architectures. The references to "millions of threads" and the "narrow use case" on 32-bit systems indicate that the large address space of 64-bit systems can accommodate a sufficient number of stack ranges.
Answer to Question 2: Rationale for Unnecessity
Split stacks are no longer necessary on 64-bit architectures due to the significantly larger virtual address space. This allows for each stack to have a dedicated and sizable address range that is comparable to the entire 32-bit address space.
In modern flat memory models, the hardware Memory Management Unit (MMU) translates virtual addresses to physical memory locations. On x86_64, allocating large chunks of virtual address space for each stack and mapping only the initial page to actual RAM is found to be more efficient.
This approach allows the stack to grow and shrink as needed, using contiguous virtual addresses. The OS can re-configure the MMU to map additional pages of virtual memory to real memory as the stack grows or shrinks past specified thresholds.
By carefully selecting these thresholds, stacks can behave like dynamic arrays with O(1) average stack operation complexity. They retain the benefit of supporting millions of stacks that can grow to arbitrary sizes while consuming only the memory they utilize.
The above is the detailed content of Are Split Stacks Necessary on x86_64 Architectures?. For more information, please follow other related articles on the PHP Chinese website!

The main differences between Golang and Python are concurrency models, type systems, performance and execution speed. 1. Golang uses the CSP model, which is suitable for high concurrent tasks; Python relies on multi-threading and GIL, which is suitable for I/O-intensive tasks. 2. Golang is a static type, and Python is a dynamic type. 3. Golang compiled language execution speed is fast, and Python interpreted language development is fast.

Golang is usually slower than C, but Golang has more advantages in concurrent programming and development efficiency: 1) Golang's garbage collection and concurrency model makes it perform well in high concurrency scenarios; 2) C obtains higher performance through manual memory management and hardware optimization, but has higher development complexity.

Golang is widely used in cloud computing and DevOps, and its advantages lie in simplicity, efficiency and concurrent programming capabilities. 1) In cloud computing, Golang efficiently handles concurrent requests through goroutine and channel mechanisms. 2) In DevOps, Golang's fast compilation and cross-platform features make it the first choice for automation tools.

Golang and C each have their own advantages in performance efficiency. 1) Golang improves efficiency through goroutine and garbage collection, but may introduce pause time. 2) C realizes high performance through manual memory management and optimization, but developers need to deal with memory leaks and other issues. When choosing, you need to consider project requirements and team technology stack.

Golang is more suitable for high concurrency tasks, while Python has more advantages in flexibility. 1.Golang efficiently handles concurrency through goroutine and channel. 2. Python relies on threading and asyncio, which is affected by GIL, but provides multiple concurrency methods. The choice should be based on specific needs.

The performance differences between Golang and C are mainly reflected in memory management, compilation optimization and runtime efficiency. 1) Golang's garbage collection mechanism is convenient but may affect performance, 2) C's manual memory management and compiler optimization are more efficient in recursive computing.

ChooseGolangforhighperformanceandconcurrency,idealforbackendservicesandnetworkprogramming;selectPythonforrapiddevelopment,datascience,andmachinelearningduetoitsversatilityandextensivelibraries.

Golang and Python each have their own advantages: Golang is suitable for high performance and concurrent programming, while Python is suitable for data science and web development. Golang is known for its concurrency model and efficient performance, while Python is known for its concise syntax and rich library ecosystem.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

WebStorm Mac version
Useful JavaScript development tools

SublimeText3 Linux new version
SublimeText3 Linux latest version

Atom editor mac version download
The most popular open source editor

SublimeText3 English version
Recommended: Win version, supports code prompts!

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.