Fast Bytecodes for Funny Languages
Cliff Click discusses how to optimize generated bytecode for running on the JVM. Click analyzes and reports on several JVM languages and shows several places where they could increase performance.
- Java,
Tracking change and innovation in the enterprise software development community
Posted by Floyd Marinescu on Jul 10, 2006 12:07 PM
"We are not for sale; we are not closing our doors," was the message InfoQ recieved in an exclusive late night briefing with ThoughtWorks VP Bill Kimmel in response to rumours circulating after a DowJones Newswire article released on Friday. ThoughtWorks, the respected consultancy that is home to a number of industry thought leaders (including Martin Fowler) and the source of a number of key open source initiatives, has for the last 3 years been in negotiations in and out of court over a $43M redemption obligation to SV Investment Partners, a VC who invested in ThoughtWorks in 2000, with the expectation of an IPO that never materialized because of the dot com bust. The terms of SV's investment allowed them to have their investment bought back should the IPO not happen within 5 years.Terracotta 10x Faster Than Oracle Coherence
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Should be interesting to watch this play out. There's nothing of substance in the above 'briefing', just an attempt at damage control:
- last 6 months 'among' the best
- "there is no specific issue at this point that has any impact on our ongoing operations"
- 'on track to exceed $110 million in revenue' - means nothing without an idea of overheads and current debt (above the $43m mentioned)
The only other info I can find on this story is the following anonymous rumour portal:
www.tmronline.com/A55951/tmrarticles.nsf/e17dd6...
Indeed, there isn't anything of substance in the link to The May Report site either. I didn't originally include it because they illegally republished the DJN article (violated DJ's copyright), plus the article itself was inaccurate and sensationalist, whereas this 'briefing' was just the boring truth.
Cliff Click discusses how to optimize generated bytecode for running on the JVM. Click analyzes and reports on several JVM languages and shows several places where they could increase performance.
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