- 📝 STIC-D based Algorithmic Optimizations for Monolithic PageRank
- 📝 Adjusting Datatype of Rank vector and CSR Representation with PageRank
- 📝 Parallelizing PageRank for a Volta GPU
- 📝 Dead End handling strategies for PageRank algorithm
- 📝 Rank adjustment strategies for Dynamic PageRank
- 📝 Effect of stepwise adjustment of Damping factor upon PageRank
- 📝 Adjusting PageRank parameters and Comparing results
- 📝 Understand Problems
- 📝 List of Research papers: Prof. Kishore Kothapalli, CSTAR, IIIT Hyderabad
- 📜 "You and Your Research" by Richard W Hamming
- 📜 Proceedings Scholar Metrics
- 📜 Submitting the Thesis Evaluation Request by MS/PhD Students (IIIT Hyderabad)
- 📜 The Purpose and Process of PhD Comprehensive VIVA Examination (IIIT Hyderabad)
- 📜 Policy on stipend support for research students (IIIT Hyderabad)
- 📜 Top CSE conferences list (IIIT Hyderabad)
- 📝 Weather engineering architecture
- 📋 Graph Transformers to the MAX
- 📰 FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU
- 📰 word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Structured Data
- 📰 Machine Thinking, Fast and Slow
- 📰 Graph Attention Multi-Layer Perceptron
- 📰 Learning skillful medium-range global weather forecasting
- 📰 Joint Partitioning and Sampling Algorithm for Scaling Graph Neural Network
- 📰 A neural network algorithm for the no-three-in-line problem
- 📰 Bias and Fairness in Large Language Models: A Survey
- 📜 Introducing DRIFT Search: Combining global and local search methods to improve quality and efficiency
- 📜 GraphRAG: Unlocking LLM discovery on narrative private data
- 📜 Machine Learning on Graphs
- 📰 Interface for Sparse Linear Algebra Operations
- 📰 Low-Latency Graph Streaming using Compressed Purely-Functional Trees
- 📰 A Parallel Packed Memory Array to Store Dynamic Graphs
- 📰 Packed Compressed Sparse Row: A Dynamic Graph Representation
- 📰 STINGER: High Performance Data Structure for Streaming Graphs
- 📰 cuSTINGER: Supporting Dynamic Graph Algorithms for GPUs
- 📰 GraSU: A Fast Graph Update Library for FPGA-based Dynamic Graph Processing
- 📝 On SimRank
- 📰 SimRank - A Measure of Structural-Context Similarity
- 📰 SimRank*: effective and scalable pairwise similarity search based on graph topology
- 📰 Accuracy Estimate and Optimization Techniques for SimRank Computation
- 📰 Fast Computation of SimRank for Static and Dynamic Information Networks
- 📰 A Novel and Fast SimRank Algorithm
- 📰 Accelerating pairwise SimRank estimation over static and dynamic graphs
- 📰 Efficient Top-K SimRank-based Similarity Join
- 📰 SLING: A Near-Optimal Index Structure for SimRank
- 📝 Partitioning with community detection idea
- 📝 Delta modularity derivation (Louvain algorithm)
- 📰 Delta-Screening: A Fast and Efficient Technique to Update Communities in Dynamic Graphs
- 📰 Community Detection on the GPU
- 📰 Fast Incremental Community Detection on Dynamic Graphs
- 📰 Hierarchical parallel algorithm for modularity-based community detection using GPUs
- 📰 CGC: Contrastive Graph Clustering for Community Detection and Tracking
- 📰 HyDetect: A Hybrid CPU-GPU Algorithm for Community Detection; Bhowmick and Vadhiyar (2019)
- 📰 A Dynamic Algorithm for Local Community Detection in Graphs
- 📰 Scalable Static and Dynamic Community Detection Using Grappolo
- 📰 Fast Community Detection Algorithm With GPUs and Multicore Architectures; Somal and Narang (2011)
- 📰 GPU-Accelerated Graph Clustering via Parallel Label Propagation; Kozawa et al. (2017)
- 📰 Large-Scale Graph Label Propagation on GPUs; Ye et al. (2023)
- 📰 Application Areas of Community Detection: A Review
- 📰 Deeper Inside PageRank
- 📰 Original Google Patent by Lawrence Page
- 📰 Scaling PageRank to 100 Billion Pages
- 📰 I/O-Efficient Techniques for Computing Pagerank
- 📰 Incremental Page Rank Computation on Evolving Graphs
- 📰 An Improved PageRank Algorithm for Multilayer Networks
- 📰 A Generalization of the PageRank Algorithm
- 📰 STIC-D: Algorithmic Techniques For Efficient Parallel Pagerank Computation on Real-World Graphs
- 📰 HyPR: Hybrid Page Ranking on Evolving Graphs
- 📰 Design and Implementation of Parallel PageRank on Multicore Platforms
- 📰 Distributed PageRank computation with improved round complexities
- 📰 Fast distributed PageRank computation
- 📰 FrogWild! – Fast PageRank Approximations on Graph Engines
- 📰 Evaluation of Monte Carlo Method in PageRank
- 📰 Monte Carlo methods in PageRank computation: When one iteration is sufficient
- 📰 Efficient PageRank Tracking in Evolving Networks
- 📰 Inequality and inequity in network‑based ranking and recommendation algorithms
- 🎞️ PageRank on an evolving graph - Yanzhao Yang
- 📙 HITS algorithm
- 📰 Bounded Incremental Computation by G. Ramalingam (1993)
- 📰 Parallel Batch-Dynamic Graphs: Algorithms and Lower Bounds
- 📰 Practice of Streaming Processing of Dynamic Graphs: Concepts, Models, and Systems
- 📰 A New Parallel Algorithm for Connected Components in Dynamic Graphs
- 📰 DotHash: Estimating Set Similarity Metrics for Link Prediction and Document Deduplication
- 📰 Path-based extensions of local link prediction methods for complex networks
- 📰 Fast and Memory-Efficient Minimum Spanning Tree on the GPU
- 📰 Fast shared-memory algorithms for computing the minimum spanning forest of sparse graphs
- 📰 SDP: Scalable Real-time Dynamic Graph Partitioner
- 📰 Parallel algorithms for multi-source graph traversal and its applications
- 📰 A Parallel Algorithm Template for Updating Single-Source Shortest Paths in Large-Scale Dynamic Networks
- 📰 Distributed coloring with O(sqrt. log n) bits
- 📰 Vertex Reordering for Real-World Graphs and Applications: An Empirical Evaluation
- 📰 Practical Parallel Hypergraph Algorithms
- 📰 Graph-Theoretic Problems and Their New Applications
- 📰 Graph theory with applications
- 📜 Tutorial: Large Scale Network Analytics with SNAP
- 📝 Communication in MPI
- 📝 Shared memory Parallelism
- 📝 Ordered vs. Unordered: a Comparison of Parallelism and Work-efficiency in Irregular Algorithms
- 📝 Important parameters for running MPI program with SRUN and MPIEXEC
- 📝 Checking NVIDIA Tesla V100 machine details
- 📝 Lvalues and Rvalues
- 📰 Cores that don’t count
- 📰 Fault-tolerant linear solvers via selective reliablity
- 📰 Efficient Image Compression Scheme for Still Images
- 📰 Accelerating sparse matrix-vector multiplication in iterative methods using GPU
- 📰 A Study of BFLOAT16 for Deep Learning Training
- 📰 Solution of a Problem in Concurrent Programming Control
- 📰 Fast and Efficient End-to-End Graph Processing with Shared Memory Accelerators
- 📰 Automated Network Performance Characterization for HPC Systems
- 📰 Scheduling Multithreaded Computations by Work Stealing
- 📰 Fast parallel constraint satisfaction
- 📰 ApproxBioWear: Approximating Additions for Efficient Biomedical Wearable Computing at the Edge
- 📰 Big networks: A survey
- 📓 Hybrid Multicore Computing
- 📓 Statistical Network Analysis with igraph
- 📜 NVIDIA Tesla V100 GPU Architecture Whitepaper
- 📜 Introduction to Level Zero API for Heterogeneous Programming
- 📜 Variadic CRTP
- 📜 gnuplot Quick Reference
- 🎞️ Optimizing Parallel Reduction in CUDA
- 🎞️ Basic Computer Architecture and the Case for GPUs
- 📙 bfloat16 floating-point format
- 📝 SIR Model - for spread of disease
- 📰 Evaluating Architectural Changes to Alter Pathogen Dynamics in a Dialysis Unit
- 📰 Investing in non-communicable disease risk factor control among adolescents worldwide - a modelling study
- 📰 Care-seeking patterns for fatal non-communicable diseases among women of reproductive age in rural northwest Bangladesh
- 📰 Massively Parallel Simulations of Spread of Infectious Diseases over Realistic Social Networks
- 📰 Parallel Programming Approaches for an Agent-based Simulation of Concurrent Pandemic and Seasonal Influenza Outbreaks
- 📜 Computational Epidemiology
- 📜 Are noncommunicable diseases communicable?