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Publications associées (16)

Software Support for Non-Volatile Memory (NVM) Programming

Non-Volatile Memory (NVM) is an emerging type of memory device that provides fast, byte-addressable, and high-capacity durable storage. NVM sits on the memory bus and allows durable data structures designs similar to the in-memory equivalent ones. Expensiv ...

EPFL2021

Linking electronic structure calculations to generalized stacking fault energies in multicomponent alloys

Anirudh Raju Natarajan

The generalized stacking fault energy is a key ingredient to mesoscale models of dislocations. Here we develop an approach to quantify the dependence of generalized stacking fault energies on the degree of chemical disorder in multicomponent alloys. We int ...

Springer Nature2020

Comparison of Subword Segmentation Methods for Open-vocabulary ASR using a Difficulty Metric

Philip Neil Garner, Claudiu-Cristian Musat

We experiment with subword segmentation approaches that are widely used to address the open vocabulary problem in the context of end-to-end automatic speech recognition (ASR). For morphologically rich languages such as German which has many rare words main ...

2020

The Inherent Cost of Remembering Consistently

Rachid Guerraoui, Mihail Igor Zablotchi, Nachshon Cohen

Non-volatile memory (NVM) promises fast, byte-addressable and durable storage, with raw access latencies in the same order of magnitude as DRAM. But in order to take advantage of the durability of NVM, programmers need to design persistent objects which ma ...

2018

The Inherent Cost of Remembering Consistently

Rachid Guerraoui, Mihail Igor Zablotchi, Nachshon Cohen

2018

Closing the Performance Gap Between Volatile and Persistent Key-Value Stores Using Cross-Referencing Logs

Matej Pavlovic

Key-Value (K-V) stores are an integral building block in modern datacenter applications. With byteaddressable persistent memory (PM) technologies, such as Intel/Micron's 3D XPoint, on the horizon, there has been an influx of new high performance K-V stores ...

USENIX ASSOC2018

Rebasing I/O for Scientific Computing: Leveraging Storage Class Memory in an IBM BlueGene/Q Supercomputer

Felix Schürmann, Pramod Shivaji Kumbhar, Miguel Angel Gila Arrondo, Davide Tacchella, Alessandro Curioni, Fabien Jonathan Delalondre, John Anthony Biddiscombe, Peter Morjan, Blake Fitch, Bernard Metzler, Lars Schneidenbach, Robert Germain

Storage class memory is receiving increasing attention for use in HPC systems for the acceleration of intensive IO operations. We report a particular instance using SLC FLASH memory integrated with an IBM BlueGene/Q supercomputer at scale (Blue Gene Active ...

Springer2014

Querying Persistent Graphs using Solid State Storage

Manoussos Gavriil Athanassoulis

Recent advances in solid state technology have led to the introduction of Solid State Drives (SSDs). Todays SSDs store data persistently using NAND flash memory. While SSDs are more expensive than hard disks when measured in dollars per gigabyte, they are ...

2013

Path Processing using Solid State Storage

Manoussos Gavriil Athanassoulis

Recent advances in solid state technology have led to the introduction of Solid State Drives (SSDs). Todays SSDs store data persistently using NAND ﬂash memory. While SSDs are more expensive than hard disks when measured in dollars per gigabyte, they are s ...

2012

A New FFT-Based Algorithm for Secondary Code Acquisition for Galileo Signals

Pierre-André Farine, Cyril Botteron, Aleksandar Jovanovic, Jérôme Leclère, Youssef Tawk

The innovative spreading codes used to modulate the new Galileo signals creates new challenges for receiver designers. It is well known in GNSS systems that longer integration times are needed to obtain a better sensitivity. However, the existence of the n ...

IEEE2011

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