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Format abstraction for sparse tensor algebra compilers

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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/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/10.1007/11428831_13openalex-snapshot
Vectorized Sparse Matrix Multiply for Compressed Row Storage Format
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/10.1007/978-3-030-85665-6openalex-snapshot
Euro-Par 2021: Parallel Processing
inferredcites →https://doi.org/10.1007/978-3-030-95953-1openalex-snapshot
Languages and Compilers for Parallel Computing
inferredcites →https://doi.org/10.1007/978-3-642-11515-8_10openalex-snapshot
Automatically Tuning Sparse Matrix-Vector Multiplication for GPU Architectures
inferredcites →https://doi.org/10.1007/978-3-642-25100-9_73openalex-snapshot
A Cache-Oblivious Sparse Matrix–Vector Multiplication Scheme Based on the Hilbert Curve
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/10.1080/00268970500275780openalex-snapshot
Automatic code generation for many-body electronic structure methods: the tensor contraction engine‡‡
inferredcites →https://doi.org/10.1109/cluster.2017.75openalex-snapshot
A Unified Optimization Approach for Sparse Tensor Operations on GPUs
inferredcites →https://doi.org/10.1109/cluster37548.2016openalex-snapshot
2016 IEEE International Conference on Cluster Computing (CLUSTER)
inferredcites →https://doi.org/10.1109/hpec.2012.6408676openalex-snapshot
Efficient and scalable computations with sparse tensors
inferredcites →https://doi.org/10.1109/hpec20075.2012openalex-snapshot
2012 IEEE Conference on High Performance Extreme Computing
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/ipdps.2016.117openalex-snapshot
Communication-Avoiding Parallel Sparse-Dense Matrix-Matrix Multiplication
inferredcites →https://doi.org/10.1109/jssc.2016.2616357openalex-snapshot
Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/jssc.2017.2749425openalex-snapshot
A Pixel Pitch-Matched Ultrasound Receiver for 3-D Photoacoustic Imaging With Integrated Delta-Sigma Beamformer in 28-nm UTBB FD-SOI
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/10.1137/060676489openalex-snapshot
Efficient MATLAB Computations with Sparse and Factored Tensors
inferredcites →https://doi.org/10.1137/1.9780898718003openalex-snapshot
Iterative Methods for Sparse Linear Systems
inferredcites →https://doi.org/10.1137/1.9780898718881openalex-snapshot
Direct Methods for Sparse Linear Systems
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/10.1145/1274971.1274989openalex-snapshot
Representation-transparent matrix algorithms with scalable performance
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/10.1145/165939.166023openalex-snapshot
Compilation techniques for sparse matrix computations
inferredcites →https://doi.org/10.1145/1863543.1863581openalex-snapshot
Specifying and verifying sparse matrix codes
inferredcites →https://doi.org/10.1145/2049662.2049663openalex-snapshot
The university of Florida sparse matrix collection
inferredcites →https://doi.org/10.1145/2304576.2304624openalex-snapshot
clSpMV
inferredcites →https://doi.org/10.1145/233561.233564openalex-snapshot
Improving data locality with loop transformations
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/10.1145/2807591.2807671openalex-snapshot
An input-adaptive and in-place approach to dense tensor-times-matrix multiply
inferredcites →https://doi.org/10.1145/2813885.2738003openalex-snapshot
Loop and data transformations for sparse matrix code
inferredcites →https://doi.org/10.1145/2833179.2833183openalex-snapshot
Tensor-matrix products with a compressed sparse tensor
inferredcites →https://doi.org/10.1145/2967938.2967943openalex-snapshot
Sparso
inferredcites →https://doi.org/10.1145/3133901openalex-snapshot
The tensor algebra compiler
inferredcites →https://doi.org/10.1145/3157733openalex-snapshot
Design of a High-Performance GEMM-like Tensor–Tensor Multiplication
inferredcites →https://doi.org/10.1145/3276493openalex-snapshot
Format abstraction for sparse tensor algebra compilers
inferredcites →https://doi.org/10.1145/3392717.3400034openalex-snapshot
Optimizing supercompilers for supercomputers
inferredcites →https://doi.org/10.1145/362575.362584openalex-snapshot
Algorithm 408: a sparse matrix package (part I) [F4]
inferredcites →https://doi.org/10.1145/989393.989437openalex-snapshot
A data locality optimizing algorithm
inferredcites →https://doi.org/10.21236/ada604494openalex-snapshot
Tensor Decompositions for Learning Latent Variable Models
inferredcites →https://doi.org/10.21236/ada614387openalex-snapshot
A Massively Parallel Tensor Contraction Framework for Coupled-Cluster Computations
inferredcites →https://doi.org/10.2172/7093021openalex-snapshot
ITPACKV 2D user's guide
inferredcites →https://doi.org/10.2172/897641openalex-snapshot
Efficient MATLAB computations with sparse and factored tensors.
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/10.5860/choice.50-6817openalex-snapshot
The Feynman Lectures on Physics
inferredcites →https://doi.org/10.6028/nist.ir.6744openalex-snapshot
NIST sparse BLAS user's guide

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Reliable Computation of the Singularities of the Projection in $$\mathbb R^3$$ of a Generic Surface of $$\mathbb R^4$$
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Energy Efficient DNN Compaction for Edge Deployment
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Sparse Tensors and Subdivision Methods for Finding the Zero Set of Polynomial Equations
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Accelerating Computation for Scalable Graph Neural Network Training
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Sgap: towards efficient sparse tensor algebra compilation for GPU
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Neural oriented boundary detection for particle-based fluids
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Distributed-memory tensor completion for generalized loss functions in python using new sparse tensor kernels
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ANS: Assimilating Near Similarity at High Accuracy for Significant Deduction of CNN Storage and Computation
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Tensor Algebra Compilation with Workspaces
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BuildIt: A Type-Based Multi-stage Programming Framework for Code Generation in C++
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Unified Compilation for Lossless Compression and Sparse Computing
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A Tensor Algebra Compiler for Sparse Differentiation
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Representing Data Collections in an SSA Form
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Fast Autoscheduling for Sparse ML Frameworks
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ScalFrag: Efficient Tiled-MTTKRP with Adaptive Launching on GPUs
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Performance Analysis of Higher Order Tensor Storages for Highly Sparse Multidimensional Data
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ISOSceles: Accelerating Sparse CNNs through Inter-Layer Pipelining
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CROSS: Compiler-Driven Optimization of Sparse DNNs Using Sparse/Dense Computation Kernels
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Sparse Deep Neural Network Inference Using Different Programming Models
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Optimizing Compression Schemes for Parallel Sparse Tensor Algebra
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Distributed-Memory Sparse Deep Neural Network Inference Using Global Arrays
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AutoSparse: A Source-to-Source Format and Schedule Auto- Tuning Framework for Sparse Tensor Program
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Accelerating Sparse MTTKRP for Small Tensor Decomposition on GPU $\mathcal{X}_{(d)}$
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A Sparse Tensor Benchmark Suite for CPUs and GPUs
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Extending Sparse Tensor Accelerators to Support Multiple Compression Formats
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eCC++ : A Compiler Construction Framework for Embedded Domain-Specific Languages
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Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights
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Onyx: A 12-nm Programmable Accelerator for Dense and Sparse Applications
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An Intermediate Language for General Sparse Format Customization
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A High Performance Sparse Tensor Algebra Compiler in MLIR
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Sparseloop: An Analytical Approach To Sparse Tensor Accelerator Modeling
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Sparsepipe: Sparse Inter-operator Dataflow Architecture with Cross-Iteration Reuse
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SpDISTAL: Compiling Distributed Sparse Tensor Computations
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AlphaSparse: Generating High Performance SpMV Codes Directly from Sparse Matrices
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Distributed-Memory DMRG via Sparse and Dense Parallel Tensor Contractions
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SpMMPlu-Pro: An Enhanced Compiler Plug-In for Efficient SpMM and Sparsity Propagation Algorithm
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UniSparTa: A Unified Sparse Tensor Program Tuning Framework
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Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation
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EGGS: Sparsity‐Specific Code Generation
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Near-memory data transformation for efficient sparse matrix multi-vector multiplication
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Generating piecewise-regular code from irregular structures
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ExTensor
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Taichi
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Generating fast sparse matrix vector multiplication from a high level generic functional IR
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Automatic generation of efficient sparse tensor format conversion routines
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A sparse iteration space transformation framework for sparse tensor algebra
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ALTO
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QuanTaichi
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Accelerating applications using edge tensor processing units
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Capstan: A Vector RDA for Sparsity
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NDS: N-Dimensional Storage
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QuanTaichi
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Compilation of sparse array programming models
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Automatic HBM Management
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Autoscheduling for sparse tensor algebra with an asymptotic cost model
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Sparsity-Specific Code Optimization using Expression Trees
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SparseLNR
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Functional collection programming with semi-ring dictionaries
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Compiler Support for Sparse Tensor Computations in MLIR
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Optimizing Tensor Computations: From Applications to Compilation and Runtime Techniques
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Compilation of dynamic sparse tensor algebra
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Polyhedral Specification and Code Generation of Sparse Tensor Contraction with Co-iteration
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WACO: Learning Workload-Aware Co-optimization of the Format and Schedule of a Sparse Tensor Program
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Looplets: A Language for Structured Coiteration
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Code Synthesis for Sparse Tensor Format Conversion and Optimization
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SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning
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The Sparse Abstract Machine
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Optimizing Tensor Programs on Flexible Storage
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Efficient and Portable Einstein Summation in SQL
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TeAAL: A Declarative Framework for Modeling Sparse Tensor Accelerators
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Compiling Structured Tensor Algebra
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BaCO: A Fast and Portable Bayesian Compiler Optimization Framework
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A Mechanized Algebra of Verified Data Structures for Optimizing Sparse Tensor Programs
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Bullseye Hash: An Efficient Hash-Table for Sparse Tensor Contraction
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Automated Tensor-Relational Decomposition for Large-Scale Sparse Tensor Computation
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Sparse Format Conversion and Code Synthesis
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Polyhedral+Dataflow Graphs
inferred← citeshttps://doi.org/10.2200/s01004ed1v01y202004cac050openalex-snapshot
Efficient Processing of Deep Neural Networks
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A Unified Iteration Space Transformation Framework for Sparse and Dense Tensor Algebra
inferred← citeshttps://doi.org/10.48550/arxiv.2107.05473openalex-snapshot
GPTPU: Accelerating Applications using Edge Tensor Processing Units
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An Attempt to Generate Code for Symmetric Tensor Computations
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The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal Padding
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Dynamic Sparse Tensor Algebra Compilation
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Distributed-Memory DMRG via Sparse and Dense Parallel Tensor Contractions
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