Publications related to Inter-process communication

Brief communication: Application of a muonic cosmic ray snow gauge to monitor the snow water equivalent on alpine glaciers

Rebecca Gugerli

Monitoring the snow water equivalent (SWE) in the harsh environments of high mountain regions is a challenge. Here, we explore the use of muon counts to infer SWE. We deployed a muonic cosmic ray snow gauge (mu-CRSG) on a Swiss glacier during the snow-rich ...

COPERNICUS GESELLSCHAFT MBH2022

Error Resilient In-Memory Computing Architecture for CNN Inference on the Edge

David Atienza Alonso, Giovanni Ansaloni, Alexandre Sébastien Julien Levisse, Marco Antonio Rios, Flavio Ponzina

The growing popularity of edge computing has fostered the development of diverse solutions to support Artificial Intelligence (AI) in energy-constrained devices. Nonetheless, comparatively few efforts have focused on the resiliency exhibited by AI workload ...

2022

DATASHARENETWORK A Decentralized Privacy-Preserving Search Engine for Investigative Journalists

Carmela González Troncoso, Wouter Lueks, Laurent Girod, Bruno Thomas

Investigative journalists collect large numbers of digital documents during their investigations. These documents can greatly benefit other journalists' work. However, many of these documents contain sensitive information. Hence, possessing such documents ...

USENIX ASSOC2020

On Maintaining Linear Convergence of Distributed Learning and Optimization Under Limited Communication

Na Li, Hossein Shokri Ghadikolaei

In distributed optimization and machine learning, multiple nodes coordinate to solve large problems. To do this, the nodes need to compress important algorithm information to bits so that it can be communicated over a digital channel. The communication tim ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

The NEBULA RPC-Optimized Architecture

Babak Falsafi, Alexandros Daglis, Siddharth Gupta, Mark Johnathon Sutherland, Dionysios Pnevmatikatos

Large-scale online services are commonly structured as a network of software tiers, which communicate over the datacenter network using RPCs. Ongoing trends towards software decomposition have led to the prevalence of tiers receiving and generating RPCs wi ...

2020

Byzantine machine learning

Rachid Guerraoui, Mahsa Taziki, El Mahdi El Mhamdi, Sébastien Louis Alexandre Rouault

The present invention concerns computer-implemented methods for training a machine learning model using Stochastic Gradient Descent, SGD. In one embodiment, the method is performed by a first computer in a distributed computing environment and comprises pe ...

2020

Communication trade-offs for Local-SGD with large step size

Aymeric Daphnis Kévin Dieuleveut

Synchronous mini-batch SGD is state-of-the-art for large-scale distributed machine learning. However, in practice, its convergence is bottlenecked by slow communication rounds between worker nodes. A natural solution to reduce communication is to use the " ...

NEURAL INFORMATION PROCESSING SYSTEMS (NIPS)2019

PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization

Martin Jaggi, Thijs Vogels

We study lossy gradient compression methods to alleviate the communication bottleneck in data-parallel distributed optimization. Despite the significant attention received, current compression schemes either do not scale well, or fail to achieve the target ...

NEURAL INFORMATION PROCESSING SYSTEMS (NIPS)2019

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Inter-process communication

Hardware and Software Support for RPC-Centric Server Architecture

Brief communication: Application of a muonic cosmic ray snow gauge to monitor the snow water equivalent on alpine glaciers

Error Resilient In-Memory Computing Architecture for CNN Inference on the Edge

Hardware-Software Co-Design of an RPC Processor

DATASHARENETWORK A Decentralized Privacy-Preserving Search Engine for Investigative Journalists

On Maintaining Linear Convergence of Distributed Learning and Optimization Under Limited Communication

The NEBULA RPC-Optimized Architecture

Byzantine machine learning

Communication trade-offs for Local-SGD with large step size

PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization

Graph Chatbot

Chat with Graph Search

On Maintaining Linear Convergence of Distributed Learning and Optimization Under Limited Communication

Brief communication: Application of a muonic cosmic ray snow gauge to monitor the snow water equivalent on alpine glaciers

Hardware and Software Support for RPC-Centric Server Architecture

Byzantine machine learning

Hardware-Software Co-Design of an RPC Processor

Communication trade-offs for Local-SGD with large step size

The NEBULA RPC-Optimized Architecture

PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization