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Euro-Par 2023: Parallel Processing

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Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 DIPPM: A Deep Learning Inference Performance Predictive Model Using Graph Neural Networks
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    Chapter 2 perun : Benchmarking Energy Consumption of High-Performance Computing Applications
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    Chapter 3 Extending OpenSHMEM with Aggregation Support for Improved Message Rate Performance
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    Chapter 4 Fault-Aware Group-Collective Communication Creation and Repair in MPI
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    Chapter 5 MetaLive: Meta-Reinforcement Learning Based Collective Bitrate Adaptation for Multi-Party Live Streaming
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    Chapter 6 Asymptotic Performance and Energy Consumption of SLACK
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    Chapter 7 A Poisson-Based Approximation Algorithm for Stochastic Bin Packing of Bernoulli Items
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    Chapter 8 Hierarchical Management of Extreme-Scale Task-Based Applications
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    Chapter 9 MESDD: A Distributed Geofence-Based Discovery Method for the Computing Continuum
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    Chapter 10 Parameterized Analysis of a Dynamic Programming Algorithm for a Parallel Machine Scheduling Problem
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    Chapter 11 SparkEdgeEmu: An Emulation Framework for Edge-Enabled Apache Spark Deployments
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    Chapter 12 ODIN: Overcoming Dynamic Interference in iNference Pipelines
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    Chapter 13 DAG-Based Efficient Parallel Scheduler for Blockchains: Hyperledger Sawtooth as a Case Study
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    Chapter 14 INSTANT: A Runtime Framework to Orchestrate In-Situ Workflows
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    Chapter 15 How Do OS and Application Schedulers Interact? An Investigation with Multithreaded Applications
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    Chapter 16 Assessing Power Needs to Run a Workload with Quality of Service on Green Datacenters
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    Chapter 17 Improving Utilization of Dataflow Architectures Through Software and Hardware Co-Design
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    Chapter 18 A Multi-level Parallel Integer/Floating-Point Arithmetic Architecture for Deep Learning Instructions
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    Chapter 19 Lock-Free Bucketized Cuckoo Hashing
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    Chapter 20 BitHist: A Precision-Scalable Sparse-Awareness DNN Accelerator Based on  Bit Slices Products Hist ogram
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    Chapter 21 Computational Storage for an Energy-Efficient Deep Neural Network Training System
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    Chapter 22 Optimizing Data Movement for GPU-Based In-Situ Workflow Using GPUDirect RDMA
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    Chapter 23 FedGM: Heterogeneous Federated Learning via Generative Learning and Mutual Distillation
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    Chapter 24 DeTAR: A Decision Tree-Based Adaptive Routing in Networks-on-Chip
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    Chapter 25 Auto-Divide GNN: Accelerating GNN Training with Subgraph Division
  27. Altmetric Badge
    Chapter 26 Model-Agnostic Federated Learning
  28. Altmetric Badge
    Chapter 27 Scalable Random Forest with Data-Parallel Computing
  29. Altmetric Badge
    Chapter 28 SymED: Adaptive and Online Symbolic Representation of Data on the Edge
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    Chapter 29 MMExit: Enabling Fast and Efficient Multi-modal DNN Inference with Adaptive Network Exits
  31. Altmetric Badge
    Chapter 30 Distributed Deep Multilevel Graph Partitioning
  32. Altmetric Badge
    Chapter 31 TrainBF: High-Performance DNN Training Engine Using BFloat16 on AI Accelerators
  33. Altmetric Badge
    Chapter 32 Distributed k-Means with Outliers in General Metrics
  34. Altmetric Badge
    Chapter 33 A Parallel Scan Algorithm in the Tensor Core Unit Model
  35. Altmetric Badge
    Chapter 34 Improved Algorithms for Monotone Moldable Job Scheduling Using Compression and Convolution
  36. Altmetric Badge
    Chapter 35 On Size Hiding Protocols in Beeping Model
  37. Altmetric Badge
    Chapter 36 Efficient Protective Jamming in 2D SINR Networks
  38. Altmetric Badge
    Chapter 37 GPU Code Generation of Cardiac Electrophysiology Simulation with MLIR
  39. Altmetric Badge
    Chapter 38 SWSPH: A Massively Parallel SPH Implementation for Hundred-Billion-Particle Simulation on New Sunway Supercomputer
  40. Altmetric Badge
    Chapter 39 Transactional-Turn Causal Consistency
  41. Altmetric Badge
    Chapter 40 Im2win: An Efficient Convolution Paradigm on GPU
  42. Altmetric Badge
    Chapter 41 Accelerating Drug Discovery in AutoDock-GPU with Tensor Cores
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    Chapter 42 FedCML: Federated Clustering Mutual Learning with non-IID Data
  44. Altmetric Badge
    Chapter 43 A Look at Performance and Scalability of the GPU Accelerated Sparse Linear System Solver Spliss
  45. Altmetric Badge
    Chapter 44 Parareal with a Physics-Informed Neural Network as Coarse Propagator
  46. Altmetric Badge
    Chapter 45 Faster Segmented Sort on GPUs
  47. Altmetric Badge
    Chapter 46 Hercules: Scalable and Network Portable In-Memory Ad-Hoc File System for Data-Centric and High-Performance Applications
  48. Altmetric Badge
    Chapter 47 An Efficient Parallel Adaptive GMG Solver for Large-Scale Stokes Problems
  49. Altmetric Badge
    Chapter 48 Optimizing Distributed Tensor Contractions Using Node-Aware Processor Grids
  50. Altmetric Badge
    Chapter 49 Parallel Cholesky Factorization for Banded Matrices Using OpenMP Tasks
Attention for Chapter 28: SymED: Adaptive and Online Symbolic Representation of Data on the Edge
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Chapter title
SymED: Adaptive and Online Symbolic Representation of Data on the Edge
Chapter number 28
Book title
Euro-Par 2023: Parallel Processing
Published in
arXiv, January 2023
DOI 10.1007/978-3-031-39698-4_28
Book ISBNs
978-3-03-139697-7, 978-3-03-139698-4
Authors

Hofstätter, Daniel, Ilager, Shashikant, Lujic, Ivan, Brandic, Ivona, Daniel Hofstätter, Shashikant Ilager, Ivan Lujic, Ivona Brandic

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 September 2023.
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#21,863,829
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#768,691
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#378,992
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