Ling Liu's SC13 paper "Large Graph Processing Without the Overhead" featured by HPCwire.
Another list highlighting Open Source Software Releases.
Second GraphLab workshop should be even bigger than the first! GraphLab is a new programming framework for graph-style data analytics.
Guardrail: A High Fidelity Approach to Protecting Hardware Devices from Buggy Drivers
19th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'14), March 2014.
Olatunji Ruwase*, Phillip, B. Gibbons^, Michael A. Kozuch^, Todd Mowry
^Intel Labs Pittsburgh
Carnegie Mellon University
Device drivers are an Achilles' heel of modern commodity operating systems, accounting for far too many system failures. Previous work on driver reliability has focused on protecting the kernel from unsafe driver side- effects by interposing an invariant-checking layer at the driver interface, but otherwise treating the driver as a black box. In this paper, we propose and evaluate Guardrail, which is a more powerful framework for run-time driver analysis that performs decoupled, instruction-grain dynamic correctness checking on arbitrary kernel-mode drivers as they execute, thereby enabling the system to detect and mitigate more challenging correctness bugs (e.g., data races, uninitialized memory accesses) that cannot be detected by today's fault isolation techniques. Our evaluation of Guardrail shows that it can find serious data races, memory faults, and DMA faults in native Linux drivers that required fixes, including previously unknown bugs. Also, with hardware logging support, Guardrail can be used for online protection of persistent device state from driver bugs with at most 10% overhead on the end-to-end performance of most standard I/O workloads. Keywords: Device Drivers, Dynamic Analysis
KEYWORDS: Device Drivers, Dynamic Analysis
FULL PAPER: pdf