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Publications associées (5)

Kernel Regression for Graph Signal Prediction in Presence of Sparse Noise

In presence of sparse noise we propose kernel regression for predicting output vectors which are smooth over a given graph. Sparse noise models the training outputs being corrupted either with missing samples or large perturbations. The presence of sparse ...

IEEE2019

Micro-architectural Analysis of In-memory OLTP

Anastasia Ailamaki, Pinar Tözün, Danica Porobic, Utku Sirin

Micro-architectural behavior of traditional disk-based online transaction processing (OLTP) systems has been investigated extensively over the past couple of decades. Results show that traditional OLTP mostly under-utilize the available micro-architectural ...

2016

Precise static analysis of untrusted driver binaries

Johannes Kinder

Most closed source drivers installed on desktop systems today have never been exposed to formal analysis. Without vendor support, the only way to make these often hastily written, yet critical programs accessible to static analysis is to directly work at t ...

IEEE2010

A Portable Kernel Abstraction for Low-Overhead Ephemeral Mapping Management

Willy Zwaenepoel

Modern operating systems create ephemeral virtual-to-physical mappings for a variety of purposes, ranging from the implementation of interprocess communication to the implementation of process tracing and debugging. With succeeding generations of processor ...

2005

Cacheable Interface Control Registers for High Speed Data Transfer

Babak Falsafi, David Wood

A device interface for communicating between a processor system and a separate device employs cacheable control registers, both to indicate the receipt of a message and to receive messages to be transmitted. The data structure of the cacheable control regi ...

1999

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