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Top Research Papers in High Performance Computing

Graph Neural Networks

  • A Comprehensive Survey on Graph Neural Networks (TNNLS 2020)
  • Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting (AAAI 2021)
  • Multivariate Time-Series Anomaly Detection via Graph Attention Network (ICDM 2020)
  • PyTorch Distributed: Experiences on Accelerating Data Parallel Training (VLDB 2020)
  • Random Features Strengthen Graph Neural Networks (SDM 2021)
  • Automatic Virtual Network Embedding: A Deep Reinforcement Learning Approach With Graph Convolutional Networks (JSAC 2020)
  • Scaling Graph Neural Networks with Approximate PageRank (KDD 2020)
  • Improving the Accuracy, Scalability, and Performance of Graph Neural Networks with Roc (MLSys 2020)
  • Kornia: an Open Source Differentiable Computer Vision Library for PyTorch (WACV 2020)
  • EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM (Appl. Soft Comput. 2021)

Knowledge Graphs

  • Knowledge Graphs (ACM Comput. Surv. 2021)
  • A review: Knowledge reasoning over knowledge graph (Expert Syst. Appl. 2020)
  • Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives (Appl. Energy 2021)
  • DGL-KE: Training Knowledge Graph Embeddings at Scale (SIGIR 2020)

Hardware/Software Technologies (for ML) and Load balancing/Scheduling

  • Opportunities for neuromorphic computing algorithms and applications (Nat. 2022)
  • Next-Generation Topology of D-Wave Quantum Processors (arXiv 2020)
  • Photonic tensor cores for machine learning (Appl. Phys. Rev. 2020)
  • AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload Rebalancing (MICRO2020)
  • Fast Adaptive Task Offloading in Edge Computing Based on Meta Reinforcement Learning (TPDS 2020)
  • MLIR: Scaling Compiler Infrastructure for Domain Specific Computation (CGO 2021)
  • Hybridization of firefly and Improved Multi-Objective Particle Swarm Optimization algorithm for energy efficient load balancing in Cloud Computing environments (JPDC 2020)
  • Collaborate Edge and Cloud Computing With Distributed Deep Learning for Smart City Internet of Things (JIOT 2020)
  • Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook (JPROC 2021)

Genomics

  • A review on genetic algorithm: past, present, and future (Multimed. Tools. Appl. 2021)
  • Haplotype-resolved de novo assembly using phased assembly graphs with hifiasm (Nat. 2021)
  • rMVP: A Memory-efficient, Visualization-enhanced, and Parallel-accelerated Tool for Genome-wide Association Study (GPB 2021)
  • metaFlye: scalable long-read metagenome assembly using repeat graphs (Nat. 2020)
  • The design and construction of reference pangenome graphs with minigraph (Genome Biol. 2020)

Optimization and Scientific Packages

  • A Guide to Conquer the Biological Network Era Using Graph Theory (Front. Bioeng. Biotechnol. 2020)
  • MOOSE: Enabling massively parallel multiphysics simulation (SoftwareX 2020)
  • Palabos: Parallel Lattice Boltzmann Solver (Comput. Math. with Appl. 2021)
  • SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings (arXiv 2020)
  • GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation (arXiv 2020)
  • SINDy-PI: a robust algorithm for parallel implicit sparse identification of nonlinear dynamics (Proc. R. Soc. A: Math. 2020)
  • A parallel global multiobjective framework for optimization: pagmo (JOSS 2020)
  • Parallel Bayesian Global Optimization of Expensive Functions (OR 2020)
  • TeraChem: A graphical processing unit-accelerated electronic structure package for large-scale ab initio molecular dynamics (Wiley Interdiscip. Rev. Comput. 2020)
  • The deal.II finite element library: Design, features, and insights (Comput. Math. with Appl. 2021)

Other Parallelism

  • Towards a Complexity Theory of Synchronous Parallel Computation (2023)
  • The four dimensions of social network analysis: An overview of research methods, applications, and software tools (Inf. Fusion 2020)
  • A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects (Eng. Appl. Artif. Intell. 2022)
  • Polylogarithmic-time deterministic network decomposition and distributed derandomization (STOC 2020)
  • Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models (CIKM 2020)
  • Investigating the performance of exploratory graph analysis and traditional techniques to identify the number of latent factors: A simulation and tutorial (Psychol. Methods 2020)

Other Interesting Papers

  • Parallel Rendering with K-Way Replication
  • GPU Accelerated Range Trees with Applications
  • GPS: A Graph Processing System
  • GRECS: Graph Encryption for Approximate Shortest Distance Queries
  • A Genetic Algorithm for Shortest Path Routing Problem and the Sizing of Populations
  • A Comparison of List Schedules for Parallel Processing Systems
  • APPM: Adaptive Parallel Processing Mechanism for Service Function Chains
  • Dynamic critical-path scheduling: an effective technique for allocating task graphs to multiprocessors
  • Majority-Inverter Graph: A novel data-structure and algorithms for efficient logic optimization
  • De novo short read assembly of the human genome

Research Areas in Parallel Algorithms

  • Parallel Data Structures, Distributed Hash Tables, De Bruijn Graphs
  • Parallel Programming Models, Load Balancing, Scalability, Energy-Efficiency
  • Big Data and Distributed Computing, Communication Efficiency, Fault Tolerance
  • Hybrid and Heterogeneous Computing, Quantum Parallelism
  • Multimodal AI for Human-Robot Interaction (perception, outputs, task-related)
  • Multimodal Generative AI (graph generative models, knowledge, molecular, medical/bio data)
  • Generative Modelling of Conversational Dynamics (self-supervised, speech patterns, rhythm)
  • Physics-based Machine Learning jointly with the MedTech industry
  • Underwater Robotics and Machine Learning (multiple autonomous underwater vehicles)
  • Understanding Of Biodiversity Dynamics by means of Digital Twins
  • Computational Fracture Mechanics (ductile/brittle, nonlocal multiscale, crack propagation)
  • Modeling of Sociotechnical Systems, with focus on Road Transport
  • Bio-inspired and Nature-inspired Parallel Algorithms
  • Computational Biophysics (protein folding, molecular dynamics, drug design)
  • Protein Design (biocatalysis, enzyme design, biopolymers, metabolites)

Modeling of Sociotechnical Systems, with focus on Road Transport: How different electrification strategies (battery-electric, fuel cells, electric roads, battery swaps etc) can compete with and complement each other?


Other Research Areas

  • Cellulose paper-based materials for power transformers (oil-immersed)
  • Detection of Organic Radicals in the Atmosphere (RT mass spectrometry)
  • Light-Controllable Fluorescent Proteins in Microscopy (optical bio-imaging)
  • BioGlue: Green chemistry for biobased wood adhesives (biopolymers)
  • BioGlue: Adhesion mechanisms in biobased wood adhesives (macromolecular materials)
  • BioGlue: Biobased wood adhesives for paper applications (surface chemistry)
  • Metallurgy of Recycling of Steels (remove tramp elements, pyrometallurgy)
  • Industrial (Antisolvent) Crystallization (extract Ni, Mn, Co from mining waste)
  • Electroanalytical Chemistry



Top Blog Posts in High Performance Computing

Large Language Models


Machine Learning