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The 64-core Parallella is alive
Adapteva is now Zero ASIC - www.zeroasic.com
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Escaping the Safari sandbox with a kernel GPU bug
Posted by Ian BeerTL;DRAn OS X GPU driver trusted a user-supplied kernel C++ object pointer and c...
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Building the Firefox browser for Firefox OS
As soon as the Boot to Gecko (B2G) project was announced in July 2011 I knew it something I wanted to contribute to. I'd already been working on the idea ...
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Outage post-mortem
Dash knows your context, your team, and your work, so your team can stay organized, easily find and share knowledge, and keep projects secure, all from one place.
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Spark Breaks Previous Large-Scale Sort Record
Read how Apache Spark sorted 100 TB of data (1 trillion records) 3X faster using 10X fewer machines in 2014.
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A big step towards Firefox generational and compacting GC
People frequently ask me for status updates on generational GC, and I usually say I’ll tell them when something notable happens. Well, something notable just happened: exact rooting landed .
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Memory cache optimizations
When optimizing memory access, and memory cache misses in particular, there are surprisingly few tools to help you. valgrind’s cachegrind tool is the closest one I’ve found. It gives you a lot of information on cache misses, but not necessarily in the form you need it.
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Arrakis: The Operating System Is the Control Plane
Simon Peter, Jialin Li, Irene Zhang, Dan R. K. Ports, Doug Woos, Arvind Krishnamurthy, and Thomas Anderson, University of Washington; Timothy Roscoe, ETH Zürich
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Effectively Managing Memory at Gmail Scale
While JavaScript employs garbage collection for automatic memory management, it is not a substitute for effective memory management in applications. JavaScript applications suffer from the same memory related problems that native applications do, such as memory leaks and bloat, yet they must also deal with garbage…
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A Story Of realloc (And Laziness)
A Story Of realloc (And Laziness) 05 April 2014 A Simple Macro It...
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Principles of high-performance programs (2012)
This article is an attempt to sum up a small number of generic rules that appear to be useful rules of thumb when creating high performing programs. It is structured by first establishing some fundamental causes of performance hits followed by their extensions.
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Video Processing at Dropbox
Dash knows your context, your team, and your work, so your team can stay organized, easily find and share knowledge, and keep projects secure, all from one place.
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File Systems, Data Loss and ZFS
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Scaling the Facebook data warehouse to 300 PB
Visit the post for more.
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Windows Management Framework V5 Preview
Access to this page requires authorization. You can try signing in or changing directories .
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FlatBuffers: a memory efficient serialization library
The latest news from Google on open source releases, major projects, events, and outreach programs for early career developers.
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Scaling Asana.com
Are you interested in learning more about working on Asana's engineering team or the work they do? Read the Asana engineering blog.
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An Internet-Ready OS From Scratch in a Week – Rump Kernels on Bare Metal
The most time-consuming part of operating system development is obtaining enough drivers to enable the OS to run real applications which interact with the real world. NetBSD's rump kernels allow reducing that time to almost zero, for example for developing special-purpose operating systems for the cloud and embedded…
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