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Register Tiling for Unstructured Sparsity in Neural Network Inference
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11557654_91openalex-snapshot
Fast Sparse Matrix-Vector Multiplication by Exploiting Variable Block Structure
inferredcites →https://doi.org/10.1007/3-540-45545-0_22openalex-snapshot
Optimizing Sparse Matrix Computations for Register Reuse in SPARSITY
inferredcites →https://doi.org/10.1007/978-3-319-96983-1_48openalex-snapshot
Design Principles for Sparse Matrix Multiplication on the GPU
inferredcites →https://doi.org/10.1007/978-3-540-68564-7openalex-snapshot
Tools for High Performance Computing
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/ipdps.2014.125openalex-snapshot
Optimizing Sparse Matrix-Multiple Vectors Multiplication for Nuclear Configuration Interaction Calculations
inferredcites →https://doi.org/10.1109/pact.2002.1105967openalex-snapshot
Proceedings 2002 International Conference on Parallel Architectures and Compilation Techniques. PACT 2002
inferredcites →https://doi.org/10.1109/sc41405.2020.00021openalex-snapshot
Sparse GPU Kernels for Deep Learning
inferredcites →https://doi.org/10.1109/sc41405.2020.00091openalex-snapshot
Efficient Tiled Sparse Matrix Multiplication through Matrix Signatures
inferredcites →https://doi.org/10.1145/1048935openalex-snapshot
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
inferredcites →https://doi.org/10.1145/1356052.1356053openalex-snapshot
Anatomy of high-performance matrix multiplication
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/10.1145/197320.197366openalex-snapshot
Improving the ratio of memory operations to floating-point operations in loops
inferredcites →https://doi.org/10.1145/2049662.2049663openalex-snapshot
The university of Florida sparse matrix collection
inferredcites →https://doi.org/10.1145/2737924.2738003openalex-snapshot
Loop and data transformations for sparse matrix code
inferredcites →https://doi.org/10.1145/2925987openalex-snapshot
Analytical Modeling Is Enough for High-Performance BLIS
inferredcites →https://doi.org/10.1145/3037697.3037745openalex-snapshot
Optimizing CNNs on Multicores for Scalability, Performance and Goodput
inferredcites →https://doi.org/10.1145/3293883.3295712openalex-snapshot
Adaptive sparse tiling for sparse matrix multiplication
inferredcites →https://doi.org/10.1145/3314221.3314615openalex-snapshot
Generating piecewise-regular code from irregular structures
inferredcites →https://doi.org/10.1145/3314221.3314646openalex-snapshot
Sparse computation data dependence simplification for efficient compiler-generated inspectors
inferredcites →https://doi.org/10.1145/3428226openalex-snapshot
A sparse iteration space transformation framework for sparse tensor algebra
inferredcites →https://doi.org/10.1145/3544559openalex-snapshot
Compiler Support for Sparse Tensor Computations in MLIR
inferredcites →https://doi.org/10.1145/3559009.3569668openalex-snapshot
Custom High-Performance Vector Code Generation for Data-Specific Sparse Computations
inferredcites →https://doi.org/10.1145/3566054openalex-snapshot
Polyhedral Specification and Code Generation of Sparse Tensor Contraction with Co-iteration
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.829openalex-snapshot
Block Pruning For Faster Transformers
inferredcites →https://doi.org/10.3929/ethz-b-000519202openalex-snapshot
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
inferredcites →https://doi.org/10.48550/arxiv.1705.08922openalex-snapshot
Exploring the Regularity of Sparse Structure in Convolutional Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1710.01878openalex-snapshot
To prune, or not to prune: exploring the efficacy of pruning for model compression
inferredcites →https://doi.org/10.48550/arxiv.1902.09574openalex-snapshot
The State of Sparsity in Deep Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1909.12778openalex-snapshot
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks
inferredcites →https://doi.org/10.5281/zenodo.7706976openalex-snapshot
Register Tiling for Unstructured Sparsity in Neural Network
inferredcites →https://doi.org/10.7551/mitpress/1120.001.0001openalex-snapshot
Advances in Neural Information Processing Systems 14
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4674274openalex-extracted
Adapting CISC Style Structured SPMM Kernels for RVV 1.0
inferred← citeshttps://doi.org/10.1007/978-981-96-1551-3_7openalex-snapshot
LSSM-SpMM: A Long-Row Splitting and Short-Row Merging Approach for Parallel SpMM on PEZY-SC3s
inferred← citeshttps://doi.org/10.1109/cgo68049.2026.11394842openalex-snapshot
Fast Autoscheduling for Sparse ML Frameworks
inferred← citeshttps://doi.org/10.1109/dac63849.2025.11133371openalex-snapshot
An Input-Aware Sparse Tensor Compiler Empowered by Vectorized Acceleration
inferred← citeshttps://doi.org/10.1145/3581784.3607097openalex-snapshot
Runtime Composition of Iterations for Fusing Loop-carried Sparse Dependence
inferred← citeshttps://doi.org/10.1145/3627535.3638470openalex-snapshot
A Row Decomposition-based Approach for Sparse Matrix Multiplication on GPUs
inferred← citeshttps://doi.org/10.1145/3649153.3649194openalex-snapshot
Register Blocking: An Analytical Modelling Approach for Affine Loop Kernels
inferred← citeshttps://doi.org/10.1145/3685277openalex-snapshot
LO-SpMM: Low-cost Search for High-performance SpMM Kernels on GPUs
inferred← citeshttps://doi.org/10.1145/3689721openalex-snapshot
Compiler Support for Sparse Tensor Convolutions
inferred← citeshttps://doi.org/10.1145/3720503openalex-snapshot
SPLAT: A Framework for Optimised GPU Code-Generation for SParse reguLar ATtention
inferred← citeshttps://doi.org/10.1145/3720506openalex-snapshot
Compressed and Parallelized Structured Tensor Algebra
inferred← citeshttps://doi.org/10.1145/3721145.3730427openalex-snapshot
Loop Fusion in Matrix Multiplications with Sparse Dependence
inferred← citeshttps://doi.org/10.1145/3729335openalex-snapshot
Modular Construction and Optimization of the UZP Sparse Format for SpMV on CPUs
inferred← citeshttps://doi.org/10.1145/3747183openalex-snapshot
Register Blocking: A Source-to-Source Analytical Modelling Approach for Affine Loop Kernels
inferred← citeshttps://doi.org/10.1145/3802113openalex-snapshot
SPALM: A Sparsity-Pattern-Adaptive Library for Matrices
inferred← citeshttps://doi.org/10.14778/3778092.3778104openalex-snapshot
Morphing-Based Compression for Data-Centric ML Pipelines
inferred← citeshttps://doi.org/10.3390/agriculture15020122openalex-snapshot
Development of a Lightweight Model for Rice Plant Counting and Localization Using UAV-Captured RGB Imagery
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