SPARC 架构仍然适合作为高端服务器上的 JIT 编译器目标吗?

发布于 2024-09-17 06:11:04 字数 341 浏览 1 评论 0原文

X86 和 AMD64 是许多计算环境(桌面、服务器和超级计算机)最重要的架构。显然,JIT 编译器应该支持它们两者才能获得认可。

直到最近,SPARC 架构仍然是编译器的合理下一步发展,特别是在高端服务器市场上。但现在Sun死了,事情就不清楚了。

Oracle 似乎对此并不真正感兴趣,一些大型项目正在放弃对该架构的支持(例如 Ubuntu)。但另一方面,旨在开源最新处理器的 OpenSPARC 计划非常有前途,这意味着许多制造商可以在不久的将来免费实施和使用 SPARC。

那么,作为 JIT 编译器的下一个目标架构,SPARC 仍然是一个不错的选择吗?还是选择另一种更好(POWER、ARM、MIPS...)?

X86 and AMD64 are the most important architectures for many computing environments (desktop, servers, and supercomputers). Obviously a JIT compiler should support both of them to gain acceptance.

Until recently, the SPARC architecture was the logical next step for a compiler, specially on high-end servers markets. But now that Sun is dead, things are not clear.

Oracle doesn't seem to be really interested in it, and some big projects are dropping support for that architecture (Ubuntu for example). But on the other hand, the OpenSPARC initiative intended to open source recent processors is quite promising, meaning that a lot of manufacturers could implement and use SPARC for free in the near future.

So, is SPARC still a good choice as the next target architecture for a JIT compiler? Or is it better to choose another one (POWER, ARM, MIPS, ...)?

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风蛊 2024-09-24 06:11:04

对于 SPARC 的未来,我并不比你了解得更多。我希望它有一个;令人悲哀的是,许多优秀的架构已经消亡,而 x86 却继续存在。

但我建议您将 ARM 作为目标。它不存在于大型服务器硬件中,但它在移动市场中非常巨大,并且为各种有趣的小盒子提供支持,例如我的 NAS、ADSL 路由器等。

I don't know any more than you about SPARC's future. I hope it has one; it's been tragic how many good architectures have died out while x86 has kept going.

But i would suggest you look at ARM as a target. It isn't present in big server hardware, but it's huge in the mobile market, and powers all sorts of interesting little boxes, like my NAS, my ADSL router, and so on.

南烟 2024-09-24 06:11:04

您的下一个目标架构肯定应该是 ARM - 大型数据中心的功耗是一个大问题,下一个重大问题将是尝试通过使用低功耗 CPU 来降低功耗;请参阅Facebook 对此的首次尝试

Your next target architecture should definitely be ARM - power consumption in large datacenters is a huge issue and the next big thing will be trying to reduce that by using low-power CPUs; see Facebook's first attempt on this.

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