some papers caught my eye include:
STRADS: A Distributed Framework for Scheduled Model Parallel Machine Learning.
looks quite clever - not sure how it would work for a bayesian inferencer, but made me think
Increasing Large-Scale Data Center Capacity by Statistical Power
uses MORE servers to reduce power - clever control theory approach - Baidu traces to eval is real, large system
A High Performance File System for Non-Volatile Main Memory.
Crayon: Saving Power through Shape and Color Approximation on Next-Generation Displays.
neat, but niche - OLED laptop displays consume less power if you render stuff cleverly - nice bit of human factors driven algorithm design to minimise impact on perceived image quality - gets 56% power saving on tablet with little subjective impact
A Study of Modern Linux API Usage and Compatibility: What to Support When You're Supporting.
Best paper award - nice talk - fun....
BB: Booting Booster for Consumer Electronics with Modern OS.
basically, Samsuung's smart TV boots a lot faster coz they hacked it a lot. (I have one, and replaced an LG with it, and its true:)
TFC: Token Flow Control in Data Center Networks.
is basically isarhythmic flow control (an idea from donald davies 1960s packet switched networking) done right:)
JUGGLER: A Practical Reordering Resilient Network Stack for Datacenters.
uses offload engine and other stuff to do a very solid job of dealing with putting packets in right order for TCP (where out-of-order delivery was caused by load balancers)
Flash Storage Disaggregation.
what it says on the tin
Shared Address Translation Revisited. evil question about reverse page->structure mapping in linux - how to figure out which process to go to with shared stuff...
POSIX Abstractions in Modern Operating Systems: The Old, the New, and the Missing. - hopelessly optimistic but engaging speaker:)
All findable via