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GraphIt: a high-performance graph DSL
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-47431-1openalex-snapshot
Large-Scale Graph Processing Using Apache Giraph
inferredcites →https://doi.org/10.1007/978-3-319-96983-1_18openalex-snapshot
Abelian: A Compiler for Graph Analytics on Distributed, Heterogeneous Platforms
inferredcites →https://doi.org/10.1007/s00200-007-0038-9openalex-snapshot
When cache blocking of sparse matrix vector multiply works and why
inferredcites →https://doi.org/10.1007/s10115-010-0305-0openalex-snapshot
PEGASUS: mining peta-scale graphs
inferredcites →https://doi.org/10.1109/71.97902openalex-snapshot
A loop transformation theory and an algorithm to maximize parallelism
inferredcites →https://doi.org/10.1109/bigdata.2017.8257937openalex-snapshot
Making caches work for graph analytics
inferredcites →https://doi.org/10.1109/cbd.2017.37openalex-snapshot
GeaBase: A High-Performance Distributed Graph Database for Industry-Scale Applications
inferredcites →https://doi.org/10.1109/icde.2013.6544832openalex-snapshot
SociaLite: Datalog extensions for efficient social network analysis
inferredcites →https://doi.org/10.1109/iiswc.2015.12openalex-snapshot
Locality Exists in Graph Processing: Workload Characterization on an Ivy Bridge Server
inferredcites →https://doi.org/10.1109/ipdps.2017.112openalex-snapshot
Reducing Pagerank Communication via Propagation Blocking
inferredcites →https://doi.org/10.1109/isca.2018.00042openalex-snapshot
GraFBoost: Using Accelerated Flash Storage for External Graph Analytics
inferredcites →https://doi.org/10.1137/1.9781611972825.80openalex-snapshot
A Flexible Open-Source Toolbox for Scalable Complex Graph Analysis
inferredcites →https://doi.org/10.1145/113445.113447openalex-snapshot
Efficient and exact data dependence analysis
inferredcites →https://doi.org/10.1145/113446.113447openalex-snapshot
Efficient and exact data dependence analysis
inferredcites →https://doi.org/10.1145/1772690.1772751openalex-snapshot
What is Twitter, a social network or a news media?
inferredcites →https://doi.org/10.1145/2049662.2049663openalex-snapshot
The university of Florida sparse matrix collection
inferredcites →https://doi.org/10.1145/2517349.2522739openalex-snapshot
A lightweight infrastructure for graph analytics
inferredcites →https://doi.org/10.1145/2588555.2610518openalex-snapshot
Navigating the maze of graph analytics frameworks using massive graph datasets
inferredcites →https://doi.org/10.1145/2688500.2688507openalex-snapshot
NUMA-aware graph-structured analytics
inferredcites →https://doi.org/10.1145/2688500.2688538openalex-snapshot
Gunrock: a high-performance graph processing library on the GPU
inferredcites →https://doi.org/10.1145/2737924.2737953openalex-snapshot
Synthesizing parallel graph programs via automated planning
inferredcites →https://doi.org/10.1145/2967938.2967948openalex-snapshot
Optimizing Indirect Memory References with milk
inferredcites →https://doi.org/10.1145/3178487.3178506openalex-snapshot
Making pull-based graph processing performant
inferredcites →https://doi.org/10.1145/318789.318813openalex-snapshot
Data dependence analysis on multi-dimensional array references
inferredcites →https://doi.org/10.1145/3192366.3192404openalex-snapshot
Gluon: a communication-optimizing substrate for distributed heterogeneous graph analytics
inferredcites →https://doi.org/10.1145/7902.7904openalex-snapshot
Advanced compiler optimizations for supercomputers
inferredcites →https://doi.org/10.1184/r1/6605999openalex-snapshot
GraphChi: Large-Scale Graph Computation on Just a PC
inferredcites →https://doi.org/10.48550/arxiv.1006.4990openalex-snapshot
GraphLab: A New Framework for Parallel Machine Learning
inferredcites →https://doi.org/10.48550/arxiv.1408.0500openalex-snapshot
FlashGraph: Processing Billion-Node Graphs on an Array of Commodity SSDs
inferredcites →https://doi.org/10.5555/2387880.2387883openalex-snapshot
PowerGraph: distributed graph-parallel computation on natural graphs
inferredcites →https://doi.org/10.5555/3026877.3026901openalex-snapshot
Gemini: a computation-centric distributed graph processing system
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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LLVM Based Parallelization of C Programs for GPU
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Additional Parallelization of Existing MPI Programs Using SAPFOR
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Building a Join Optimizer for Soufflé
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Automation of Programming for Promising High-Performance Computing Systems
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NPGraph: An Efficient Graph Computing Model in NUMA-Based Persistent Memory Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-57256-2_4openalex-snapshot
$${\textsc {HaliVer}}$$: Deductive Verification and Scheduling Languages Join Forces
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CGP-Graphless: Towards Efficient Serverless Graph Processing via CPU-GPU Pipelined Collaboration
inferred← citeshttps://doi.org/10.1007/978-3-032-02436-7_13openalex-snapshot
PEAK: Generating High-Performance Schedules in MLIR
inferred← citeshttps://doi.org/10.1007/978-3-032-35248-4_16openalex-snapshot
Backend Code Generation for Graph DSLs Targeting Diverse Accelerator Platforms
inferred← citeshttps://doi.org/10.1007/978-981-92-3391-5_9openalex-snapshot
Persistency-Driven Parallelism: Boosting Large Chunk-Based Graph Processing via Asynchronous NUMA Staging
inferred← citeshttps://doi.org/10.1007/978-981-95-5747-9_5openalex-snapshot
Performance Analysis of Different Accelerators
inferred← citeshttps://doi.org/10.1007/s11227-021-04091-xopenalex-snapshot
Magas: matrix-based asynchronous graph analytics on shared memory systems
inferred← citeshttps://doi.org/10.1007/s11390-023-2888-4openalex-snapshot
Unified Programming Models for Heterogeneous High-Performance Computers
inferred← citeshttps://doi.org/10.1016/b978-0-12-820758-1.00002-9openalex-snapshot
The evolving role of storage-class memory in servers and large systems
inferred← citeshttps://doi.org/10.1016/j.future.2025.108297openalex-snapshot
Structure-aware thread throttling for energy-efficient graph processing on shared-memory systems
inferred← citeshttps://doi.org/10.1016/j.future.2026.108479openalex-snapshot
Accl++ : A high-productivity programming language for performance and code portability on heterogeneous systems
inferred← citeshttps://doi.org/10.1016/j.future.2026.108575openalex-snapshot
B-Graphless: Batch-based serverless graph processing for embodied AI backends
inferred← citeshttps://doi.org/10.1016/j.jpdc.2022.10.005openalex-snapshot
LOSC: A locality-optimized subgraph construction scheme for out-of-core graph processing
inferred← citeshttps://doi.org/10.1016/j.jpdc.2023.02.013openalex-snapshot
Accelerating matrix-centric graph processing on GPUs through bit-level optimizations
inferred← citeshttps://doi.org/10.1016/j.jpdc.2024.104967openalex-snapshot
StarPlat: A versatile DSL for graph analytics
inferred← citeshttps://doi.org/10.1016/j.suscom.2022.100654openalex-snapshot
Uncovering input-sensitive energy bottlenecks in oversubscribed GPU workloads
inferred← citeshttps://doi.org/10.1109/ccgrid51090.2021.00038openalex-snapshot
Characterizing Input-sensitivity in Tightly-Coupled Collaborative Graph Algorithms
inferred← citeshttps://doi.org/10.1109/ccgrid57682.2023.00013openalex-snapshot
Rethinking Design Paradigm of Graph Processing System with a CXL-like Memory Semantic Fabric
inferred← citeshttps://doi.org/10.1109/cgo.2019.8661197openalex-snapshot
Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code
inferred← citeshttps://doi.org/10.1109/cgo51591.2021.9370321openalex-snapshot
Compiling Graph Applications for GPU s with GraphIt
inferred← citeshttps://doi.org/10.1109/cgo51591.2021.9370326openalex-snapshot
Efficient Execution of Graph Algorithms on CPU with SIMD Extensions
inferred← citeshttps://doi.org/10.1109/cgo51591.2021.9370333openalex-snapshot
BuildIt: A Type-Based Multi-stage Programming Framework for Code Generation in C++
inferred← citeshttps://doi.org/10.1109/cgo53902.2022.9741280openalex-snapshot
GraphIt to CUDA Compiler in 2021 LOC: A Case for High-Performance DSL Implementation via Staging with BuilDSL
inferred← citeshttps://doi.org/10.1109/cluster48925.2021.00042openalex-snapshot
Thrifty Label Propagation: Fast Connected Components for Skewed-Degree Graphs
inferred← citeshttps://doi.org/10.1109/hipc50609.2020.00014openalex-snapshot
SimGQ: Simultaneously Evaluating Iterative Graph Queries
inferred← citeshttps://doi.org/10.1109/hpca51647.2021.00062openalex-snapshot
P-OPT: Practical Optimal Cache Replacement for Graph Analytics
inferred← citeshttps://doi.org/10.1109/hpca53966.2022.00047openalex-snapshot
Improving Locality of Irregular Updates with Hardware Assisted Propagation Blocking
inferred← citeshttps://doi.org/10.1109/hpca56546.2023.10071089openalex-snapshot
Dalorex: A Data-Local Program Execution and Architecture for Memory-bound Applications
inferred← citeshttps://doi.org/10.1109/hpca61900.2025.00055openalex-snapshot
Piccolo: Large-Scale Graph Processing with Fine-Grained in-Memory Scatter-Gather
inferred← citeshttps://doi.org/10.1109/hpca61900.2025.00072openalex-snapshot
NOVA: A Novel Vertex Management Architecture for Scalable Graph Processing
inferred← citeshttps://doi.org/10.1109/iccad51958.2021.9643582openalex-snapshot
GraphLily: Accelerating Graph Linear Algebra on HBM-Equipped FPGAs
inferred← citeshttps://doi.org/10.1109/icdcs54860.2022.00020openalex-snapshot
EndGraph: An Efficient Distributed Graph Preprocessing System
inferred← citeshttps://doi.org/10.1109/icde55515.2023.00022openalex-snapshot
Efficient Multi-GPU Graph Processing with Remote Work Stealing
inferred← citeshttps://doi.org/10.1109/icde55515.2023.00025openalex-snapshot
Flash: A Framework for Programming Distributed Graph Processing Algorithms
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An Efficient Memoization Engine for Concurrent Graph Query Processing
inferred← citeshttps://doi.org/10.1109/igsc55832.2022.9969364openalex-snapshot
Optimal Launch Bound Selection in CPU-GPU Hybrid Graph Applications with Deep Learning
inferred← citeshttps://doi.org/10.1109/iiswc50251.2020.00029openalex-snapshot
Evaluation of Graph Analytics Frameworks Using the GAP Benchmark Suite
inferred← citeshttps://doi.org/10.1109/iiswc50251.2020.00030openalex-snapshot
A Study of APIs for Graph Analytics Workloads
inferred← citeshttps://doi.org/10.1109/iiswc53511.2021.00019openalex-snapshot
A Deep Dive Into Understanding The Random Walk-Based Temporal Graph Learning
inferred← citeshttps://doi.org/10.1109/iiswc53511.2021.00020openalex-snapshot
Locality Analysis of Graph Reordering Algorithms
inferred← citeshttps://doi.org/10.1109/ipdps53621.2022.00017openalex-snapshot
FAM-Graph: Graph Analytics on Disaggregated Memory
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Bit-GraphBLAS: Bit-Level Optimizations of Matrix-Centric Graph Processing on GPU
inferred← citeshttps://doi.org/10.1109/ipdps64566.2025.00105openalex-snapshot
Matcha: A Language and Compiler for Backtracking-Based Subgraph Matching
inferred← citeshttps://doi.org/10.1109/ipdps65963.2026.00088openalex-snapshot
Rebo: Locality-Aware Graph Processing via Reordering and Blocking
inferred← citeshttps://doi.org/10.1109/ipdps65963.2026.00097openalex-snapshot
LibraryX: A Framework for Cross-Library-Call Optimization
inferred← citeshttps://doi.org/10.1109/ipdpsw63119.2024.00096openalex-snapshot
To Tile or not to Tile, That is the Question
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eCC++ : A Compiler Construction Framework for Embedded Domain-Specific Languages
inferred← citeshttps://doi.org/10.1109/isca45697.2020.00043openalex-snapshot
GraphABCD: Scaling Out Graph Analytics with Asynchronous Block Coordinate Descent
inferred← citeshttps://doi.org/10.1109/isca52012.2021.00041openalex-snapshot
Taming the Zoo: The Unified GraphIt Compiler Framework for Novel Architectures
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FlexMiner: A Pattern-Aware Accelerator for Graph Pattern Mining
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SpZip: Architectural Support for Effective Data Compression In Irregular Applications
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Graph.hls: A Compiler Framework for Composable Graph Accelerator Design
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D2Graph: An Efficient and Unified Out-of-Core Graph Computing Model
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EPGraph: An Efficient Graph Computing Model in Persistent Memory System
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Specializing Coherence, Consistency, and Push/Pull for GPU Graph Analytics
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Challenges in Metaverse Research: An Internet of Things Perspective
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Pipette: Improving Core Utilization on Irregular Applications through Intra-Core Pipeline Parallelism
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GraphPulse: An Event-Driven Hardware Accelerator for Asynchronous Graph Processing
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Automatic Code Generation for High-Performance Graph Algorithms
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A Case Study of an Adaptive Delta-Stepping Algorithm in OpenMP
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Disaggregated Memory with SmartNIC Offloading: a Case Study on Graph Processing
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Scaling Graph 500 SSSP to 140 Trillion Edges with over 40 Million Cores
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Blaze: Fast Graph Processing on Fast SSDs
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SpDISTAL: Compiling Distributed Sparse Tensor Computations
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vGraph: Memory-Efficient Multicore Graph Processing for Traversal-Centric Algorithms
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C-SAW: A Framework for Graph Sampling and Random Walk on GPUs
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Graphfire: Synergizing Fetch, Insertion, and Replacement Policies for Graph Analytics
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GETL: An Extract-Transform-Load Framework Across Graph Models in Graph Warehouse
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A Hybrid Update Strategy for I/O-Efficient Out-of-Core Graph Processing
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An Unequal Caching Strategy for Shared-Memory Graph Analytics
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Theoretically Efficient Parallel Graph Algorithms Can Be Fast and Scalable
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A Preliminary Study of Compiler Transformations for Graph Applications on the Emu System
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Practical parallel hypergraph algorithms
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Optimized Execution of Parallel Loops via User-Defined Scheduling Policies
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Seq: a high-performance language for bioinformatics
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Custom code generation for a graph DSL
inferred← citeshttps://doi.org/10.1145/3368826.3377909openalex-snapshot
Optimizing ordered graph algorithms with GraphIt
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A reduced-precision streaming SpMV architecture for Personalized PageRank on FPGA
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Efficient Stepping Algorithms and Implementations for Parallel Shortest Paths
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A sparse iteration space transformation framework for sparse tensor algebra
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Switches for HIRE: resource scheduling for data center in-network computing
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Cache-Efficient Fork-Processing Patterns on Large Graphs
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Intermediate Representations for Explicitly Parallel Programs
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Distributed Graph Processing System and Processing-in-memory Architecture with Precise Loop-carried Dependency Guarantee
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Capstan: A Vector RDA for Sparsity
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Exploiting in-Hub Temporal Locality in SpMV-based Graph Processing
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A Comprehensive Exploration of Languages for Parallel Computing
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Using machine learning to optimize graph execution on NUMA machines
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Many Sequential Iterative Algorithms Can Be Parallel and (Nearly) Work-efficient
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Verified tensor-program optimization via high-level scheduling rewrites
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Scaling graph traversal to 281 trillion edges with 40 million cores
inferred← citeshttps://doi.org/10.1145/3519939.3523437openalex-snapshot
DISTAL: the distributed tensor algebra compiler
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Exocompilation for productive programming of hardware accelerators
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Domain-Specific Architectures: Research Problems and Promising Approaches
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A Multi-target, Multi-paradigm DSL Compiler for Algorithmic Graph Processing
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Glign: Taming Misaligned Graph Traversals in Concurrent Graph Processing
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uGrapher: High-Performance Graph Operator Computation via Unified Abstraction for Graph Neural Networks
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Codon: A Compiler for High-Performance Pythonic Applications and DSLs
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Automated Mapping of Task-Based Programs onto Distributed and Heterogeneous Machines
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DGAP: Efficient Dynamic Graph Analysis on Persistent Memory
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Cohort: Software-Oriented Acceleration for Heterogeneous SoCs
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Parallel Peeling of Bipartite Networks for Hierarchical Dense Subgraph Discovery
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Performance Optimization using Multimodal Modeling and Heterogeneous GNN
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Parallel Strong Connectivity Based on Faster Reachability
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Connectivity-Aware Link Analysis for Skewed Graphs
inferred← citeshttps://doi.org/10.1145/3620665.3640361openalex-snapshot
FaaSGraph: Enabling Scalable, Efficient, and Cost-Effective Graph Processing with Serverless Computing
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Compiling Loop-Based Nested Parallelism for Irregular Workloads
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NetBlocks: Staging Layouts for High-Performance Custom Host Network Stacks
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Allo: A Programming Model for Composable Accelerator Design
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Understanding High-Performance Subgraph Pattern Matching: A Systems Perspective
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Exo 2: Growing a Scheduling Language
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SilvanForge: A Schedule-Guided Retargetable Compiler for Decision Tree Inference
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A Multi-level Compiler Backend for Accelerated Micro-kernels Targeting RISC-V ISA Extensions
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IncBoost: Scaling Incremental Graph Processing for Edge Deletions and Weight Updates
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Automating Vectorized Distributed Graph Computation
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PRAGA: A Priority-Aware Hardware/Software Co-design for High-Throughput Graph Processing Acceleration
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BerryBees: Breadth First Search by Bit-Tensor-Cores
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Proceedings of the 1st FastCode Programming Challenge
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Cache-optimized BFS on multi-core CPUs
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SRSparse: Generating Codes for High-Performance Sparse Matrix-Vector Semiring Computations
inferred← citeshttps://doi.org/10.1145/3733723.3733735openalex-snapshot
FastFlow: Rapid Workflow Response By Prioritizing Critical Data Flows and their Interactions
inferred← citeshttps://doi.org/10.1145/3735452.3735533openalex-snapshot
Graphitron: A Domain Specific Language for FPGA-Based Graph Processing Accelerator Generation
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SYgraph: A Portable Heterogeneous Graph Analytics Framework for GPUs
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GALA: A High Performance Graph Neural Network Acceleration LAnguage and Compiler
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FaaSBoard: Efficient Graph Processing with a Disaggregated Architecture on Serverless Services
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FastCC: A System-Algorithm Co-Design for Connected Components Computation on Large Power-Law Graphs
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Physical Execution Plans for Model-Driven Engineering
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Hypergraph-based locality-enhancing methods for graph operations in Big Data applications
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Single machine graph analytics on massive datasets using Intel optane DC persistent memory
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CoroGraph: Bridging Cache Efficiency and Work Efficiency for Graph Algorithm Execution
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A Single Machine System for Querying Big Graphs with PRAM
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Additional parallelization of existing MPI programs using SAPFOR
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Domain-Specific Languages for Algorithmic Graph Processing: A Systematic Literature Review
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Sage: Parallel Semi-Asymmetric Graph Algorithms for NVRAMs
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Taming the Expressiveness and Programmability of Graph Analytical Queries
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GraFS: Graph Analytics Fusion and Synthesis
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Optimizing Graph Processing and Preprocessing with Hardware Assisted Propagation Blocking
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Compilation Techniques for Graph Algorithms on GPUs
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ButterFly BFS -- An Efficient Communication Pattern for Multi Node Traversals
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Tiramisu: a polyhedral compiler for expressing fast and portable code
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Science and Advanced Computing — runs a structured editorial panel for researchers
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