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The tensor algebra compiler
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/andp.19163540702openalex-snapshot
Die Grundlage der allgemeinen Relativitätstheorie
inferredcites →https://doi.org/10.1002/jcc.23377openalex-snapshot
New implementation of high‐level correlated methods using a general block tensor library for high‐performance electronic structure calculations
inferredcites →https://doi.org/10.1007/3-540-48319-5_14openalex-snapshot
SIPR: A New Framework for Generating Efficient Code for Sparse Matrix Computations
inferredcites →https://doi.org/10.1007/3-540-57659-2_4openalex-snapshot
On automatic data structure selection and code generation for sparse computations
inferredcites →https://doi.org/10.1007/978-1-4612-1986-6_8openalex-snapshot
Efficient Management of Parallelism in Object-Oriented Numerical Software Libraries
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Discussion Tracking in Enron Email Using PARAFAC
inferredcites →https://doi.org/10.1007/978-3-030-95953-1openalex-snapshot
Languages and Compilers for Parallel Computing
inferredcites →https://doi.org/10.1007/978-3-319-04280-0_14openalex-snapshot
Scalable, Portable, Verifiable Kronecker Products on Multi-scale Computers
inferredcites →https://doi.org/10.1007/bf01454201openalex-snapshot
M�thodes de calcul diff�rentiel absolu et leurs applications
inferredcites →https://doi.org/10.1007/bfb0002751openalex-snapshot
A relational approach to the compilation of sparse matrix programs
inferredcites →https://doi.org/10.1016/j.jpdc.2014.06.002openalex-snapshot
A massively parallel tensor contraction framework for coupled-cluster computations
inferredcites →https://doi.org/10.1016/j.parco.2008.12.006openalex-snapshot
Optimization of sparse matrix-vector multiplication on emerging multicore platforms
inferredcites →https://doi.org/10.1080/00268970500275780openalex-snapshot
Automatic code generation for many-body electronic structure methods: the tensor contraction engine‡‡
inferredcites →https://doi.org/10.1088/1742-6596/16/1/071openalex-snapshot
OSKI: A library of automatically tuned sparse matrix kernels
inferredcites →https://doi.org/10.1109/hpec.2012.6408676openalex-snapshot
Efficient and scalable computations with sparse tensors
inferredcites →https://doi.org/10.1109/hpec.2015.7322458openalex-snapshot
Optimization of symmetric tensor computations
inferredcites →https://doi.org/10.1109/ia3.2016.010openalex-snapshot
Optimizing Sparse Tensor Times Matrix on Multi-core and Many-Core Architectures
inferredcites →https://doi.org/10.1109/ipdps.2008.4536313openalex-snapshot
On the representation and multiplication of hypersparse matrices
inferredcites →https://doi.org/10.1109/ipdps.2015.27openalex-snapshot
SPLATT: Efficient and Parallel Sparse Tensor-Matrix Multiplication
inferredcites →https://doi.org/10.1109/mcse.2011.37openalex-snapshot
The NumPy Array: A Structure for Efficient Numerical Computation
inferredcites →https://doi.org/10.1109/proc.1967.6011openalex-snapshot
Direct solutions of sparse network equations by optimally ordered triangular factorization
inferredcites →https://doi.org/10.1109/sc.1998.10004openalex-snapshot
Automatically Tuned Linear Algebra Software
inferredcites →https://doi.org/10.1137/060676489openalex-snapshot
Efficient MATLAB Computations with Sparse and Factored Tensors
inferredcites →https://doi.org/10.1137/16m108968xopenalex-snapshot
High-Performance Tensor Contraction without Transposition
inferredcites →https://doi.org/10.1145/113445.113449openalex-snapshot
A data locality optimizing algorithm
inferredcites →https://doi.org/10.1145/113446.113449openalex-snapshot
A data locality optimizing algorithm
inferredcites →https://doi.org/10.1145/1583991.1584053openalex-snapshot
Parallel sparse matrix-vector and matrix-transpose-vector multiplication using compressed sparse blocks
inferredcites →https://doi.org/10.1145/1592665.1592675openalex-snapshot
On the evolution of user interaction in Facebook
inferredcites →https://doi.org/10.1145/165939.166023openalex-snapshot
Compilation techniques for sparse matrix computations
inferredcites →https://doi.org/10.1145/2049662.2049663openalex-snapshot
The university of Florida sparse matrix collection
inferredcites →https://doi.org/10.1145/233561.233564openalex-snapshot
Improving data locality with loop transformations
inferredcites →https://doi.org/10.1145/2507157.2507163openalex-snapshot
Hidden factors and hidden topics
inferredcites →https://doi.org/10.1145/2544137.2544155openalex-snapshot
A Basic Linear Algebra Compiler
inferredcites →https://doi.org/10.1145/2581122.2544155openalex-snapshot
A Basic Linear Algebra Compiler
inferredcites →https://doi.org/10.1145/2629698openalex-snapshot
Reliable Generation of High-Performance Matrix Algebra
inferredcites →https://doi.org/10.1145/2737924.2738003openalex-snapshot
Loop and data transformations for sparse matrix code
inferredcites →https://doi.org/10.1145/2807591.2807624openalex-snapshot
Scalable sparse tensor decompositions in distributed memory systems
inferredcites →https://doi.org/10.1145/2807591.2807671openalex-snapshot
An input-adaptive and in-place approach to dense tensor-times-matrix multiply
inferredcites →https://doi.org/10.1145/2833179.2833183openalex-snapshot
Tensor-matrix products with a compressed sparse tensor
inferredcites →https://doi.org/10.1145/3392717.3400034openalex-snapshot
Optimizing supercompilers for supercomputers
inferredcites →https://doi.org/10.1145/355791.355796openalex-snapshot
Two Fast Algorithms for Sparse Matrices: Multiplication and Permuted Transposition
inferredcites →https://doi.org/10.1145/362575.362584openalex-snapshot
Algorithm 408: a sparse matrix package (part I) [F4]
inferredcites →https://doi.org/10.2307/jj.27710910.18openalex-snapshot
The Foundation of the General Theory of Relativity (1916)
inferredcites →https://doi.org/10.4230/lipics.ecoop.2017.4openalex-snapshot
Julia: A Fast Dynamic Language for Technical Computing
inferredcites →https://doi.org/10.48550/arxiv.1605.08695openalex-snapshot
TensorFlow: A system for large-scale machine learning
inferredcites →https://doi.org/10.5555/2627435.2697055openalex-snapshot
Tensor decompositions for learning latent variable models
inferredcites →https://doi.org/10.5555/3018843.3018848openalex-snapshot
Optimizing sparse tensor times matrix on multi-core and many-core architectures
inferredcites →https://doi.org/10.5555/509058.509096openalex-snapshot
Automatically Tuned Linear Algebra Software
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cpe.70164openalex-snapshot
Fusing the Polyhedral and Tensor Compilers to Accelerate Scientific Computing Kernels
inferred← citeshttps://doi.org/10.1002/wics.1500openalex-snapshot
Deep learning: Computational aspects
inferred← citeshttps://doi.org/10.1007/978-3-030-43229-4_4openalex-snapshot
High Performance Tensor–Vector Multiplication on Shared-Memory Systems
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DPMC: Weighted Model Counting by Dynamic Programming on Project-Join Trees
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Tentris – A Tensor-Based Triple Store
inferred← citeshttps://doi.org/10.1007/978-3-030-72789-5_10openalex-snapshot
A Structured Grid Solver with Polyhedral+Dataflow Representation
inferred← citeshttps://doi.org/10.1007/978-3-030-82472-3_15openalex-snapshot
MuLOT: Multi-level Optimization of the Canonical Polyadic Tensor Decomposition at Large-Scale
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Data Management in Machine Learning Systems
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Building a Join Optimizer for Soufflé
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Structured Operations: Modular Design of Code Generators for Tensor Compilers
inferred← citeshttps://doi.org/10.1007/978-3-031-31445-2_2openalex-snapshot
Tensor Iterators for Flexible High-Performance Tensor Computation
inferred← citeshttps://doi.org/10.1007/978-3-031-36021-3_10openalex-snapshot
Compiling Tensor Expressions into Einsum
inferred← citeshttps://doi.org/10.1007/978-3-031-37717-4_3openalex-snapshot
Tensor Algebra on an Optoelectronic Microchip
inferred← citeshttps://doi.org/10.1007/978-3-031-96239-4_28openalex-snapshot
Optimizing Cache Utilization in CPU Compilation Through Compiler Autotuning
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Workload Placement and Scheduling on Heterogeneous CPU-GPU Architectures
inferred← citeshttps://doi.org/10.1007/978-981-15-7078-0_13openalex-snapshot
Efficient Partitioning Algorithm for Parallel Multidimensional Matrix Operations by Linearization
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ARROW: Adaptive Row Reorganization for Warp-Balanced SpMV
inferred← citeshttps://doi.org/10.1007/978-981-97-9774-5_30openalex-snapshot
CUDA Core Meets Tensor Core: Characterizing the Performance of Tensor Computation on Modern GPU
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Representation Theory Based Algorithm to Compute Boltzmann’s Bilinear Collision Operator in the Irreducible Spectral Burnett Ansatz Efficiently
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HGP4CNN: an efficient parallelization framework for training convolutional neural networks on modern GPUs
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VTensor: Using Virtual Tensors to Build a Layout-Oblivious AI Programming Framework
inferred← citeshttps://doi.org/10.1007/s42514-023-00140-4openalex-snapshot
Sgap: towards efficient sparse tensor algebra compilation for GPU
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6G computing for sensing: universal memcomputing using memristor cellular neural networks
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A matrix-free isogeometric Galerkin method for Karhunen–Loève approximation of random fields using tensor product splines, tensor contraction and interpolation based quadrature
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Accl++ : A high-productivity programming language for performance and code portability on heterogeneous systems
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Multi-level optimization of the canonical polyadic tensor decomposition at large-scale: Application to the stratification of social networks through deflation
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The Baker-Campbell-Hausdorff Series Accelerates Constitutive Updates
inferred← citeshttps://doi.org/10.1016/j.jocs.2019.02.007openalex-snapshot
A multi-dimensional Morton-ordered block storage for mode-oblivious tensor computations
inferred← citeshttps://doi.org/10.1016/j.jpdc.2022.07.005openalex-snapshot
Distributed-memory tensor completion for generalized loss functions in python using new sparse tensor kernels
inferred← citeshttps://doi.org/10.1016/j.jpdc.2024.104941openalex-snapshot
SpChar: Characterizing the sparse puzzle via decision trees
inferred← citeshttps://doi.org/10.1016/j.neucom.2018.08.055openalex-snapshot
TensorD: A tensor decomposition library in TensorFlow
inferred← citeshttps://doi.org/10.1017/s0956796825000048openalex-snapshot
Domain-specific tensor languages
inferred← citeshttps://doi.org/10.1109/access.2021.3076033openalex-snapshot
Convolutional Neural Network Feature Extraction Using Covariance Tensor Decomposition
inferred← citeshttps://doi.org/10.1109/access.2024.3519676openalex-snapshot
Survey on Computational Applications of Tensor-Network Simulations
inferred← citeshttps://doi.org/10.1109/ase.2017.8115709openalex-snapshot
Taco: A tool to generate tensor algebra kernels
inferred← citeshttps://doi.org/10.1109/cgo.2019.8661185openalex-snapshot
Tensor Algebra Compilation with Workspaces
inferred← citeshttps://doi.org/10.1109/cgo51591.2021.9370333openalex-snapshot
BuildIt: A Type-Based Multi-stage Programming Framework for Code Generation in C++
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GraphIt to CUDA Compiler in 2021 LOC: A Case for High-Performance DSL Implementation via Staging with BuilDSL
inferred← citeshttps://doi.org/10.1109/cgo53902.2022.9741282openalex-snapshot
Unified Compilation for Lossless Compression and Sparse Computing
inferred← citeshttps://doi.org/10.1109/cgo57630.2024.10444787openalex-snapshot
A Tensor Algebra Compiler for Sparse Differentiation
inferred← citeshttps://doi.org/10.1109/cgo57630.2024.10444805openalex-snapshot
TapeFlow: Streaming Gradient Tapes in Automatic Differentiation
inferred← citeshttps://doi.org/10.1109/cgo57630.2024.10444817openalex-snapshot
Representing Data Collections in an SSA Form
inferred← citeshttps://doi.org/10.1109/cgo68049.2026.11394842openalex-snapshot
Fast Autoscheduling for Sparse ML Frameworks
inferred← citeshttps://doi.org/10.1109/cgo68049.2026.11394846openalex-snapshot
LEGO: A Layout Expression Language for Code Generation of Hierarchical Mapping
inferred← citeshttps://doi.org/10.1109/cgo68049.2026.11395192openalex-snapshot
Ember: A Compiler for Embedding Operations on Decoupled Access-Execute Architectures
inferred← citeshttps://doi.org/10.1109/cgo68049.2026.11395198openalex-snapshot
Tensor Program Superoptimization through Cost-Guided Symbolic Program Synthesis
inferred← citeshttps://doi.org/10.1109/cgo68049.2026.11395201openalex-snapshot
SparseX: Synergizing GPU Libraries for Sparse Matrix Multiplication on Heterogeneous Processors
inferred← citeshttps://doi.org/10.1109/cgo68049.2026.11395219openalex-snapshot
GRANII: Selection and Ordering of Primitives in GRAph Neural Networks using Input Inspection
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Multidirectional Propagation of Sparsity Information across Tensor Slices
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Neural Spline Fields for Burst Image Fusion and Layer Separation
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Automatic End-to-End Joint Optimization for Kernel Compilation on DSPs
inferred← citeshttps://doi.org/10.1109/dac63849.2025.11133371openalex-snapshot
An Input-Aware Sparse Tensor Compiler Empowered by Vectorized Acceleration
inferred← citeshttps://doi.org/10.1109/dcc55655.2023.00084openalex-snapshot
Optimizing Compression Schemes for Parallel Sparse Tensor Algebra
inferred← citeshttps://doi.org/10.1109/eict54103.2021.9733498openalex-snapshot
Performance Analysis of Higher Order Tensor Storages for Highly Sparse Multidimensional Data
inferred← citeshttps://doi.org/10.1109/fccm62733.2025.00020openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/hipc.2018.00013openalex-snapshot
Sampled Dense Matrix Multiplication for High-Performance Machine Learning
inferred← citeshttps://doi.org/10.1109/hpca47549.2020.00062openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/hpca56546.2023.10071026openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/hpca56546.2023.10071080openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/hpca56546.2023.10071089openalex-snapshot
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Differential-Matching Prefetcher for Indirect Memory Access
inferred← citeshttps://doi.org/10.1109/hpca57654.2024.00081openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/hpcc-dss-smartcity-dependsys57074.2022.00035openalex-snapshot
Efficiently Executing Sparse Matrix-Matrix Multiplication on General Purpose Digital Single Processor
inferred← citeshttps://doi.org/10.1109/hpec58863.2023.10363624openalex-snapshot
Optimizing Compression Schemes for Parallel Sparse Tensor Algebra
inferred← citeshttps://doi.org/10.1109/hpec67600.2025.11196654openalex-snapshot
Julia GraphBLAS with Nonblocking Execution
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AutoSparse: A Source-to-Source Format and Schedule Auto- Tuning Framework for Sparse Tensor Program
inferred← citeshttps://doi.org/10.1109/iciet48527.2019.9290562openalex-snapshot
Efficient Fiber Operation of High Ranked Tensors for Dynamic Dataset
inferred← citeshttps://doi.org/10.1109/iiswc50251.2020.00027openalex-snapshot
A Sparse Tensor Benchmark Suite for CPUs and GPUs
inferred← citeshttps://doi.org/10.1109/ipccc47392.2019.8958752openalex-snapshot
A C++ Library for Tensor Decomposition
inferred← citeshttps://doi.org/10.1109/ipdps.2018.00064openalex-snapshot
A Fill Estimation Algorithm for Sparse Matrices and Tensors in Blocked Formats
inferred← citeshttps://doi.org/10.1109/ipdps53621.2022.00121openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ipdps64566.2025.00046openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ipdps65963.2026.00015openalex-snapshot
STTID: High-Performance Sparse Tensor-Train Interpolative Decomposition
inferred← citeshttps://doi.org/10.1109/ipdps65963.2026.00097openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ipdpsw50202.2020.00049openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ipdpsw63119.2024.00094openalex-snapshot
The Art of Sparsity: Mastering High-Dimensional Tensor Storage
inferred← citeshttps://doi.org/10.1109/ipdpsw63119.2024.00129openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ipdpsw66978.2025.00154openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/isca52012.2021.00041openalex-snapshot
Taming the Zoo: The Unified GraphIt Compiler Framework for Novel Architectures
inferred← citeshttps://doi.org/10.1109/isca52012.2021.00087openalex-snapshot
SpZip: Architectural Support for Effective Data Compression In Irregular Applications
inferred← citeshttps://doi.org/10.1109/isca59077.2024.00021openalex-snapshot
Mind the Gap: Attainable Data Movement and Operational Intensity Bounds for Tensor Algorithms
inferred← citeshttps://doi.org/10.1109/isca59077.2024.00046openalex-snapshot
The Dataflow Abstract Machine Simulator Framework
inferred← citeshttps://doi.org/10.1109/isca66397.2026.00027openalex-snapshot
ATX: Accelerator Task Extensions
inferred← citeshttps://doi.org/10.1109/isca66397.2026.00151openalex-snapshot
Harmonia: A Unified Hierarchical Scheduling Framework for Sparse Matrix Multiplication
inferred← citeshttps://doi.org/10.1109/isca66397.2026.00180openalex-snapshot
DCC: Data-Centric Compilation of Machine Learning Kernels for Processing-In-Memory Architectures
inferred← citeshttps://doi.org/10.1109/iscas51556.2021.9401783openalex-snapshot
Autotuning LSTM for Accelerated Execution on Edge
inferred← citeshttps://doi.org/10.1109/ispass.2019.00042openalex-snapshot
Timeloop: A Systematic Approach to DNN Accelerator Evaluation
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The Indigo Program-Verification Microbenchmark Suite of Irregular Parallel Code Patterns
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The Sparse Polyhedral Framework: Composing Compiler-Generated Inspector-Executor Code
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Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights
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A High Performance Sparse Tensor Algebra Compiler in MLIR
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Really Embedding Domain-Specific Languages into C++
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The Evolution of Domain-Specific Computing for Deep Learning
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inferred← citeshttps://doi.org/10.1109/micro.2018.00038openalex-snapshot
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CPElide: Efficient Multi-Chiplet GPU Implicit Synchronization
inferred← citeshttps://doi.org/10.1109/micro61859.2024.00090openalex-snapshot
Sparsepipe: Sparse Inter-operator Dataflow Architecture with Cross-Iteration Reuse
inferred← citeshttps://doi.org/10.1109/micro61859.2024.00092openalex-snapshot
Terminus: A Programmable Accelerator for Read and Update Operations on Sparse Data Structures
inferred← citeshttps://doi.org/10.1109/pact.2019.00022openalex-snapshot
Acorns: A Framework for Accelerating Deep Neural Networks with Input Sparsity
inferred← citeshttps://doi.org/10.1109/pact.2019.00035openalex-snapshot
Generating Portable High-Performance Code via Multi-Dimensional Homomorphisms
inferred← citeshttps://doi.org/10.1109/pact.2019.00064openalex-snapshot
POSTER: A Polyhedral+Dataflow Intermediate Language for Performance Exploration
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Program Lifting using Gray-Box Behavior
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Automatic Code Generation for High-Performance Graph Algorithms
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G-Sparse: Compiler-Driven Acceleration for Generalized Sparse Computation for Graph Neural Networks on Modern GPUs
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Locality-Aware Scheduling for Scalable Heterogeneous Environments
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Extraction and Representation of Sparsity Patterns for Efficient Data Transfer on Accelerators
inferred← citeshttps://doi.org/10.1109/sc.2018.00065openalex-snapshot
ParSy: Inspection and Transformation of Sparse Matrix Computations for Parallelism
inferred← citeshttps://doi.org/10.1109/sc41404.2022.00064openalex-snapshot
SpDISTAL: Compiling Distributed Sparse Tensor Computations
inferred← citeshttps://doi.org/10.1109/sc41404.2022.00071openalex-snapshot
AlphaSparse: Generating High Performance SpMV Codes Directly from Sparse Matrices
inferred← citeshttps://doi.org/10.1109/sc41405.2020.00075openalex-snapshot
FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems
inferred← citeshttps://doi.org/10.1109/sc41405.2020.00091openalex-snapshot
Efficient Tiled Sparse Matrix Multiplication through Matrix Signatures
inferred← citeshttps://doi.org/10.1109/smartworld-uic-atc-scalcom-digitaltwin-pricomp-metaverse56740.2022.00074openalex-snapshot
Row-Segmented Sparse-Dense Matrix Matrix Multiplication on GPUs
inferred← citeshttps://doi.org/10.1109/tcad.2024.3446718openalex-snapshot
SpMMPlu-Pro: An Enhanced Compiler Plug-In for Efficient SpMM and Sparsity Propagation Algorithm
inferred← citeshttps://doi.org/10.1109/tcad.2024.3496882openalex-snapshot
Vesper: A Versatile Sparse Linear Algebra Accelerator With Configurable Compute Patterns
inferred← citeshttps://doi.org/10.1109/tcad.2025.3636442openalex-snapshot
UniSparTa: A Unified Sparse Tensor Program Tuning Framework
inferred← citeshttps://doi.org/10.1109/tpds.2019.2932931openalex-snapshot
Enabling Runtime SpMV Format Selection through an Overhead Conscious Method
inferred← citeshttps://doi.org/10.1109/tpds.2021.3138862openalex-snapshot
NeoFlow: A Flexible Framework for Enabling Efficient Compilation for High Performance DNN Training
inferred← citeshttps://doi.org/10.1109/tpds.2022.3153113openalex-snapshot
A Native Tensor–Vector Multiplication Algorithm for High Performance Computing
inferred← citeshttps://doi.org/10.1109/tpds.2025.3557750openalex-snapshot
Efficient Parallel Sparse Tensor Contraction
inferred← citeshttps://doi.org/10.1109/tpds.2025.3578630openalex-snapshot
A Learned Performance Model With Transfer Learning Across GPUs on Tensorized Instructions
inferred← citeshttps://doi.org/10.1109/tpds.2026.3658162openalex-snapshot
Flexible Performant Tensor Contractions on GPUs
inferred← citeshttps://doi.org/10.1109/wcsp49889.2020.9299844openalex-snapshot
An Optimization Toolchain Design of Deep Learning Deployment Based on Heterogeneous Computing Platform
inferred← citeshttps://doi.org/10.1111/cgf.13957openalex-snapshot
Analysis of Schedule and Layout Tuning for Sparse Matrices With Compound Entries on GPUs
inferred← citeshttps://doi.org/10.1111/cgf.14080openalex-snapshot
EGGS: Sparsity‐Specific Code Generation
inferred← citeshttps://doi.org/10.1137/17m1130642openalex-snapshot
TSFC: A Structure-Preserving Form Compiler
inferred← citeshttps://doi.org/10.1145/3170492.3136050openalex-snapshot
Towards compositional and generative tensor optimizations
inferred← citeshttps://doi.org/10.1145/3178433.3178436openalex-snapshot
SIMDization of Small Tensor Multiplication Kernels for Wide SIMD Vector Processors
inferred← citeshttps://doi.org/10.1145/3276493openalex-snapshot
Format abstraction for sparse tensor algebra compilers
inferred← citeshttps://doi.org/10.1145/3278122.3278131openalex-snapshot
Meta-programming for cross-domain tensor optimizations
inferred← citeshttps://doi.org/10.1145/3293883.3295712openalex-snapshot
Adaptive sparse tiling for sparse matrix multiplication
inferred← citeshttps://doi.org/10.1145/3293883.3302574openalex-snapshot
Building parallel programming language constructs in the AbleC extensible C compiler framework
inferred← citeshttps://doi.org/10.1145/3299869.3324961openalex-snapshot
A Layered Aggregate Engine for Analytics Workloads
inferred← citeshttps://doi.org/10.1145/3314221.3314615openalex-snapshot
Generating piecewise-regular code from irregular structures
inferred← citeshttps://doi.org/10.1145/3315454.3329954openalex-snapshot
Finite difference methods fengshui: alignment through a mathematics of arrays
inferred← citeshttps://doi.org/10.1145/3315454.3329958openalex-snapshot
Toward generalized tensor algebra for ab initio quantum chemistry methods
inferred← citeshttps://doi.org/10.1145/3315454.3329959openalex-snapshot
TeIL: a type-safe imperative tensor intermediate language
inferred← citeshttps://doi.org/10.1145/3316482.3326351openalex-snapshot
Optimizing tensor contractions for embedded devices with racetrack memory scratch-pads
inferred← citeshttps://doi.org/10.1145/3332466.3374546openalex-snapshot
A novel data transformation and execution strategy for accelerating sparse matrix multiplication on GPUs
inferred← citeshttps://doi.org/10.1145/3368826.3377923openalex-snapshot
Multi-layer optimizations for end-to-end data analytics
inferred← citeshttps://doi.org/10.1145/3385412.3385963openalex-snapshot
Automatic generation of efficient sparse tensor format conversion routines
inferred← citeshttps://doi.org/10.1145/3393934.3278131openalex-snapshot
Meta-programming for cross-domain tensor optimizations
inferred← citeshttps://doi.org/10.1145/3396235openalex-snapshot
Optimizing Tensor Contractions for Embedded Devices with Racetrack and DRAM Memories
inferred← citeshttps://doi.org/10.1145/3416510openalex-snapshot
Effective Loop Fusion in Polyhedral Compilation Using Fusion Conflict Graphs
inferred← citeshttps://doi.org/10.1145/3426428.3426915openalex-snapshot
Intrepydd: performance, productivity, and portability for data science application kernels
inferred← citeshttps://doi.org/10.1145/3428226openalex-snapshot
A sparse iteration space transformation framework for sparse tensor algebra
inferred← citeshttps://doi.org/10.1145/3447818.3460354openalex-snapshot
A systematic approach to improving data locality across Fourier transforms and linear algebra operations
inferred← citeshttps://doi.org/10.1145/3452299openalex-snapshot
Intermediate Representations for Explicitly Parallel Programs
inferred← citeshttps://doi.org/10.1145/3453483.3454083openalex-snapshot
DNNFusion: accelerating deep neural networks execution with advanced operator fusion
inferred← citeshttps://doi.org/10.1145/3453986openalex-snapshot
Thallo – Scheduling for High-Performance Large-Scale Non-Linear Least-Squares Solvers
inferred← citeshttps://doi.org/10.1145/3460945.3464953openalex-snapshot
Pure tensor program rewriting via access patterns (representation pearl)
inferred← citeshttps://doi.org/10.1145/3466752.3480048openalex-snapshot
Fifer: Practical Acceleration of Irregular Applications on Reconfigurable Architectures
inferred← citeshttps://doi.org/10.1145/3469660openalex-snapshot
Programming and Synthesis for Software-defined FPGA Acceleration: Status and Future Prospects
inferred← citeshttps://doi.org/10.1145/3471873.3472977openalex-snapshot
Generating high performance code for irregular data structures using dependent types
inferred← citeshttps://doi.org/10.1145/3477314.3507087openalex-snapshot
Sparse tensor storage by tensor unfolding
inferred← citeshttps://doi.org/10.1145/3485505openalex-snapshot
Compilation of sparse array programming models
inferred← citeshttps://doi.org/10.1145/3485513openalex-snapshot
Copy-and-patch compilation: a fast compilation algorithm for high-level languages and bytecode
inferred← citeshttps://doi.org/10.1145/3498717openalex-snapshot
Verified tensor-program optimization via high-level scheduling rewrites
inferred← citeshttps://doi.org/10.1145/3519939.3523437openalex-snapshot
DISTAL: the distributed tensor algebra compiler
inferred← citeshttps://doi.org/10.1145/3519939.3523442openalex-snapshot
Autoscheduling for sparse tensor algebra with an asymptotic cost model
inferred← citeshttps://doi.org/10.1145/3519939.3523446openalex-snapshot
Exocompilation for productive programming of hardware accelerators
inferred← citeshttps://doi.org/10.1145/3520484openalex-snapshot
Sparsity-Specific Code Optimization using Expression Trees
inferred← citeshttps://doi.org/10.1145/3524059.3532363openalex-snapshot
Efficient, out-of-memory sparse MTTKRP on massively parallel architectures
inferred← citeshttps://doi.org/10.1145/3527333openalex-snapshot
Functional collection programming with semi-ring dictionaries
inferred← citeshttps://doi.org/10.1145/3534933openalex-snapshot
AHA: An Agile Approach to the Design of Coarse-Grained Reconfigurable Accelerators and Compilers
inferred← citeshttps://doi.org/10.1145/3544559openalex-snapshot
Compiler Support for Sparse Tensor Computations in MLIR
inferred← citeshttps://doi.org/10.1145/3555041.3589407openalex-snapshot
Optimizing Tensor Computations: From Applications to Compilation and Runtime Techniques
inferred← citeshttps://doi.org/10.1145/3563329openalex-snapshot
Neural architecture search using property guided synthesis
inferred← citeshttps://doi.org/10.1145/3563338openalex-snapshot
Compilation of dynamic sparse tensor algebra
inferred← citeshttps://doi.org/10.1145/3566054openalex-snapshot
Polyhedral Specification and Code Generation of Sparse Tensor Contraction with Co-iteration
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