Publications associées à Memory paging

Accurate Emulation of Memristive Crossbar Arrays for In-Memory Computing

In-memory computing is an emerging non-von Neumann computing paradigm where certain computational tasks are performed in memory by exploiting the physical attributes of the memory devices. Memristive devices such as phase-change memory (PCM), where informa ...

IEEE2020

Practical Low-Rank Communication Compression in Decentralized Deep Learning

Martin Jaggi, Sai Praneeth Reddy Karimireddy, Thijs Vogels

Lossy gradient compression has become a practical tool to overcome the communication bottleneck in centrally coordinated distributed training of machine learning models. However, algorithms for decentralized training with compressed communication over arbi ...

2020

Adaptive HTAP through Elastic Resource Scheduling

Anastasia Ailamaki, Periklis Chrysogelos, Angelos Christos Anadiotis, Syed Mohammad Aunn Raza

Modern Hybrid Transactional/Analytical Processing (HTAP) systems use an integrated data processing engine that performs analytics on fresh data, which are ingested from a transactional engine. HTAP systems typically consider data freshness at design time, ...

2020

Adaptive HTAP through Elastic Resource Scheduling

Anastasia Ailamaki, Periklis Chrysogelos, Angelos Christos Anadiotis, Syed Mohammad Aunn Raza

ASSOC COMPUTING MACHINERY2020

SixTrack Version 5: Status and New Developments

Igor Zacharov, Riccardo De Maria, Giovanni Iadarola, Dario Pellegrini, Massimo Giovannozzi

SixTrack Version 5 is a major SixTrack release that introduces new features, with improved integration of the existing ones, and extensive code restructuring. New features include dynamic-memory management, scattering-routine integration, a new initial-con ...

IOP PUBLISHING LTD2019

SoK: Shining Light on Shadow Stacks

Mathias Josef Payer, Xiangyu Zhang

Control-Flow Hijacking attacks are the dominant attack vector against C/C++ programs. Control-Flow Integrity (CFI) solutions mitigate these attacks on the forward edge, i.e., indirect calls through function pointers and virtual calls. Protecting the backwa ...

IEEE COMPUTER SOC2019

Prefetched Address Translation

Edouard Bugnion, Boris Robert Grot, Dmitrii Ustiugov

With explosive growth in dataset sizes and increasing machine memory capacities, per-application memory footprints are commonly reaching into hundreds of GBs. Such huge datasets pressure the TLB, resulting in frequent misses that must be resolved through a ...

ASSOC COMPUTING MACHINERY2019

Pythia: Remote Oracles for the Masses

Mathias Josef Payer, Yuqing Zhang

Remote Direct Memory Access (RDMA) is a technology that allows direct access from the network to a machine's main memory without involving its CPU. RDMA offers low-latency, high-bandwidth performance and low CPU utilization. While RDMA provides massive per ...

USENIX ASSOC2019

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Memory paging

Accurate Emulation of Memristive Crossbar Arrays for In-Memory Computing

Practical Low-Rank Communication Compression in Decentralized Deep Learning

Adaptive HTAP through Elastic Resource Scheduling

Adaptive HTAP through Elastic Resource Scheduling

SixTrack Version 5: Status and New Developments

SoK: Shining Light on Shadow Stacks

Prefetched Address Translation

Efficient Workload Colocation in Modern Data Centers

Pythia: Remote Oracles for the Masses

Timely and cost-efficient data exploration through adaptive tuning

Graph Chatbot

Chattez avec Graph Search

Timely and cost-efficient data exploration through adaptive tuning

Efficient Workload Colocation in Modern Data Centers

Adaptive HTAP through Elastic Resource Scheduling

Adaptive HTAP through Elastic Resource Scheduling

SixTrack Version 5: Status and New Developments

Prefetched Address Translation

Pythia: Remote Oracles for the Masses

SoK: Shining Light on Shadow Stacks

Accurate Emulation of Memristive Crossbar Arrays for In-Memory Computing