Image de couverture de livre

The Renoir Dataflow Platform: Efficient Data Processing without Complexity

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	De Martini, Luca, Margara, Alessandro, Cugola, Gianpaolo, Donadoni, Marco, Morassutto, Edoardo
Format:	Preprint
Publié:	2023
Sujets:	Distributed, Parallel, and Cluster Computing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

FlowUnits: Extending Dataflow for the Edge-to-Cloud Computing Continuum
par: Chini, Fabio, et autres
Publié: (2025)

Radon: a Programming Model and Platform for Computing Continuum Systems
par: De Martini, Luca, et autres
Publié: (2025)

Scaling atomic ordering in shared memory
par: Martignetti, Lorenzo, et autres
Publié: (2025)

Histrio: a Serverless Actor System
par: Buttiglieri, Giorgio Natale, et autres
Publié: (2024)

DEEP: Edge-based Dataflow Processing with Hybrid Docker Hub and Regional Registries
par: Mehran, Narges, et autres
Publié: (2025)

Exploration of Energy and Throughput Tradeoffs for Dataflow Networks
par: Karim, Abrarul, et autres
Publié: (2026)

Mapping Gemma3 onto an Edge Dataflow Architecture
par: Du, Shouyu, et autres
Publié: (2026)

Towards a Peer-to-Peer Data Distribution Layer for Efficient and Collaborative Resource Optimization of Distributed Dataflow Applications
par: Scheinert, Dominik, et autres
Publié: (2023)

Dataflow-Oriented Classification and Performance Analysis of GPU-Accelerated Homomorphic Encryption
par: Nozaki, Ai, et autres
Publié: (2026)

The HEAL Data Platform
par: Larrick, Brienna M., et autres
Publié: (2025)

Styx: Transactional Stateful Functions on Streaming Dataflows
par: Psarakis, Kyriakos, et autres
Publié: (2023)

CONFINE: Preserving Data Secrecy in Decentralized Process Mining
par: Goretti, Valerio, et autres
Publié: (2024)

FLARE: A Dataflow-Aware and Scalable Hardware Architecture for Neural-Hybrid Scientific Lossy Compression
par: Jia, Wenqi, et autres
Publié: (2025)

CheckMate: Evaluating Checkpointing Protocols for Streaming Dataflows
par: Siachamis, George, et autres
Publié: (2024)

TileLoom: Automatic Dataflow Planning for Tile-Based Languages on Spatial Dataflow Accelerators
par: Li, Wei, et autres
Publié: (2025)

Stateful Entities: Object-oriented Cloud Applications as Distributed Dataflows
par: Psarakis, Kyriakos, et autres
Publié: (2021)

A TEE-based Approach for Preserving Data Secrecy in Process Mining with Decentralized Sources
par: Basile, Davide, et autres
Publié: (2026)

Democratizing Scalable Cloud Applications: Transactional Stateful Functions on Streaming Dataflows
par: Psarakis, Kyriakos
Publié: (2025)

OCEP: An Ontology-Based Complex Event Processing Framework for Healthcare Decision Support in Big Data Analytics
par: Chandra, Ritesh, et autres
Publié: (2025)

DGNNFlow: A Streaming Dataflow Architecture for Real-Time Edge-based Dynamic GNN Inference in HL-LHC Trigger Systems
par: Maharaj, Davendra, et autres
Publié: (2026)

Kitsune: Enabling Dataflow Execution on GPUs
par: Davies, Michael, et autres
Publié: (2025)

Suki: Choreographed Distributed Dataflow in Rust
par: Laddad, Shadaj, et autres
Publié: (2024)

Efficient and Portable Support for Overdecomposition on Distributed Memory GPGPU Platforms
par: Bhosale, Aditya, et autres
Publié: (2026)

Flora: Efficient Cloud Resource Selection for Big Data Processing via Job Classification
par: Will, Jonathan, et autres
Publié: (2025)

Beyond Exascale: Dataflow Domain Translation on a Cerebras Cluster
par: Oppelstrup, Tomas, et autres
Publié: (2025)

ARIM-mdx Data System: Towards a Nationwide Data Platform for Materials Science
par: Hanai, Masatoshi, et autres
Publié: (2024)

A 1024 RV-Cores Shared-L1 Cluster with High Bandwidth Memory Link for Low-Latency 6G-SDR
par: Zhang, Yichao, et autres
Publié: (2024)

DEVS/SOA: A Cross-Platform Framework for Net-centric Modeling and Simulation in DEVS Unified Process
par: Mittal, Saurabh, et autres
Publié: (2024)

ESG: Pipeline-Conscious Efficient Scheduling of DNN Workflows on Serverless Platforms with Shareable GPUs
par: Hui, Xinning, et autres
Publié: (2024)

CMDS: Cross-layer Dataflow Optimization for DNN Accelerators Exploiting Multi-bank Memories
par: Shi, Man, et autres
Publié: (2024)

A 410GFLOP/s, 64 RISC-V Cores, 204.8GBps Shared-Memory Cluster in 12nm FinFET with Systolic Execution Support for Efficient B5G/6G AI-Enhanced O-RAN
par: Zhang, Yichao, et autres
Publié: (2025)

Failure Transparency in Stateful Dataflow Systems (Technical Report)
par: Veresov, Aleksey, et autres
Publié: (2024)

Holoscope: Open and Lightweight Distributed Telescope & Honeypot Platform
par: Sordello, Andrea, et autres
Publié: (2025)

TeraNoC: A Multi-Channel 32-bit Fine-Grained, Hybrid Mesh-Crossbar NoC for Efficient Scale-up of 1000+ Core Shared-L1-Memory Clusters
par: Zhang, Yichao, et autres
Publié: (2025)

A Proposal for High-Level Architectural Model Capable of Expressing Various Data Collaboration Platform and Data Space Concepts
par: Dobashi, Masaru, et autres
Publié: (2025)

LLM-CoOpt: A Co-Design and Optimization Framework for Efficient LLM Inference on Heterogeneous Platforms
par: Kong, Jie, et autres
Publié: (2026)

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives
par: Negi, Shubham, et autres
Publié: (2025)

DOPPLER: Dual-Policy Learning for Device Assignment in Asynchronous Dataflow Graphs
par: Yao, Xinyu, et autres
Publié: (2025)

Design of A Low-Latency and Parallelizable SVD Dataflow Architecture on FPGA
par: Du, Fangqiang, et autres
Publié: (2025)

On the Complexity of Reachability Properties in Serverless Function Scheduling
par: De Palma, Giuseppe, et autres
Publié: (2024)