HackerTube.dev

Java on a 1000 Cores - Tales of Hardware / Software CoDesign

Google TechTalks · 23.1K views · 2009-09-08 · 1:12:02

Open on YouTube ↗

If playback is restricted in your region, try opening the original video. Use Mark watched to add it to your marked videos.

Overview

Cliff Click of Azul Systems gives a Google Tech Talk on running Java business applications on a machine with about a thousand cores. He covers hardware and software codesign, including garbage collection hardware and the JIT.

On Hacker News

HN treats Cliff Click's talks as an excellent source on JVMs, garbage collection and hardware-assisted Java.

Recommended by 5 HN people across 5 months · HN mentions 2009–2025

Topics

Compilers, interpreters & program analysisPython, Ruby & scripting languagesComputer architecture & CPUs
Search by tags
javagarbage collectionazulmulticorejit compilers

What people said

qznc · 2013-04 · Strong recommendation

Probably this one: [LINK] Anything from Cliff Click is quite good. This guy has a very deep understanding of compilers, virtual-machines, CPUs, and their interactions. A JVM does that? [LINK] Java on a 1000 Cores [VIDEO]

Read the original HN comment ↗
bokchoi · 2009-10 · Strong recommendation

Here's an excellent google tech talk by Cliff Click of Azul talking about their hardware. Among the firehose of information in that talk, he mentions that the hardware guys wanted to add directly execute JVM bytecode. He told them not to bother since he could JIT it better and they wouldn't be able to support all the bytecodes anyway. I'd love to know more about why that is. [VIDEO]

Read the original HN comment ↗
hayley-patton · 2025-11 · Recommendation

> What I can imagine is a purpose-built CPU that would make the JIT's job a lot easier and faster than compiling for x86 or ARM. Such a machine wouldn't execute raw Java bytecode, rather, something a tiny bit more low-level. This is approximately exactly what Azul Systems did, doing a bog-standard RISC with hardware GC barriers and transactional memory. Cliff Click gave an excellent talk on it [0] and makes your argument around 20:14. [0] [VIDEO]

Read the original HN comment ↗

Sources

Video by Google TechTalks, played through YouTube.

Data and selection notes

HN summaries and labels may contain AI errors. HN dates refer to discussions, not video publication.

HN Library: HackerTube export (2026-10-31) and open-index/hacker-news. Upstream summaries and classifications may contain AI errors.

Views, duration and playback status refresh separately from the published catalog. When an update fails, existing data remains visible.

Selection checks
  • SaaS & AI candidates: Topic keywords do not match
  • Editor-approved picks: Editorial review is required

Rule matches identify candidates. They do not guarantee video quality or financial results.

About the library and its sources