On the public citation graph

Compilation of sparse array programming models

0 signed · 47 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bfb0002751openalex-snapshot
A relational approach to the compilation of sparse matrix programs
inferredcites →https://doi.org/10.1007/s10278-005-9247-6openalex-snapshot
A Medical Imaging and Visualization Toolkit in Java
inferredcites →https://doi.org/10.1109/cgo.2019.8661185openalex-snapshot
Tensor Algebra Compilation with Workspaces
inferredcites →https://doi.org/10.1109/hpec.2013.6670338openalex-snapshot
Standards for graph algorithm primitives
inferredcites →https://doi.org/10.1109/hpec.2016.7761646openalex-snapshot
Mathematical foundations of the GraphBLAS
inferredcites →https://doi.org/10.1109/tbme.2010.2091129openalex-snapshot
Boundary Detection in Medical Images Using Edge Following Algorithm Based on Intensity Gradient and Texture Gradient Features
inferredcites →https://doi.org/10.1137/060676489openalex-snapshot
Efficient MATLAB Computations with Sparse and Factored Tensors
inferredcites →https://doi.org/10.1137/1.9780898719918openalex-snapshot
Graph Algorithms in the Language of Linear Algebra
inferredcites →https://doi.org/10.1145/1455567.1455599openalex-snapshot
The FORTRAN automatic coding system
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/10.1145/2737924.2738003openalex-snapshot
Loop and data transformations for sparse matrix code
inferredcites →https://doi.org/10.1145/3133901openalex-snapshot
The tensor algebra compiler
inferredcites →https://doi.org/10.1145/3276493openalex-snapshot
Format abstraction for sparse tensor algebra compilers
inferredcites →https://doi.org/10.1145/3322125openalex-snapshot
Algorithm 1000
inferredcites →https://doi.org/10.1145/3355089.3356506openalex-snapshot
Taichi
inferredcites →https://doi.org/10.1145/3385412.3385963openalex-snapshot
Automatic generation of efficient sparse tensor format conversion routines
inferredcites →https://doi.org/10.1145/3428226openalex-snapshot
A sparse iteration space transformation framework for sparse tensor algebra
inferredcites →https://doi.org/10.1145/360827.360844openalex-snapshot
The parallel execution of DO loops
inferredcites →https://doi.org/10.1186/1751-0473-8-20openalex-snapshot
MIA - A free and open source software for gray scale medical image analysis
inferredcites →https://doi.org/10.25080/majora-4af1f417-00aopenalex-snapshot
Sparse: A more modern sparse array library
inferredcites →https://doi.org/10.48550/arxiv.1912.01703openalex-snapshot
PyTorch: An Imperative Style, High-Performance Deep Learning Library

What points at this work

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

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/10.1109/cgo53902.2022.9741282openalex-snapshot
Unified Compilation for Lossless Compression and Sparse Computing
inferred← citeshttps://doi.org/10.1109/isca66397.2026.00088openalex-snapshot
Intermittence-Aware Speculative Page Coloring for Secure NVM
inferred← citeshttps://doi.org/10.1109/sc41404.2022.00064openalex-snapshot
SpDISTAL: Compiling Distributed Sparse Tensor Computations
inferred← citeshttps://doi.org/10.1145/3519939.3523442openalex-snapshot
Autoscheduling for sparse tensor algebra with an asymptotic cost model
inferred← citeshttps://doi.org/10.1145/3544559openalex-snapshot
Compiler Support for Sparse Tensor Computations in MLIR
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
inferred← citeshttps://doi.org/10.1145/3575693.3575694openalex-snapshot
Sigma: Compiling Einstein Summations to Locality-Aware Dataflow
inferred← citeshttps://doi.org/10.1145/3579990.3580020openalex-snapshot
Looplets: A Language for Structured Coiteration
inferred← citeshttps://doi.org/10.1145/3582016.3582047openalex-snapshot
SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning
inferred← citeshttps://doi.org/10.1145/3582016.3582051openalex-snapshot
The Sparse Abstract Machine
inferred← citeshttps://doi.org/10.1145/3591268openalex-snapshot
Indexed Streams: A Formal Intermediate Representation for Fused Contraction Programs
inferred← citeshttps://doi.org/10.1145/3623278.3624761openalex-snapshot
RECom: A Compiler Approach to Accelerating Recommendation Model Inference with Massive Embedding Columns
inferred← citeshttps://doi.org/10.1145/3656426openalex-snapshot
Compilation of Modular and General Sparse Workspaces
inferred← citeshttps://doi.org/10.1145/3689721openalex-snapshot
Compiler Support for Sparse Tensor Convolutions
inferred← citeshttps://doi.org/10.1145/3689752openalex-snapshot
Compilation of Shape Operators on Sparse Arrays
inferred← citeshttps://doi.org/10.1145/3696443.3708918openalex-snapshot
Stardust: Compiling Sparse Tensor Algebra to a Reconfigurable Dataflow Architecture
inferred← citeshttps://doi.org/10.1145/3720473openalex-snapshot
Finch: Sparse and Structured Tensor Programming with Control Flow
inferred← citeshttps://doi.org/10.1145/3725843.3756095openalex-snapshot
A Probabilistic Perspective on Tiling Sparse Tensor Algebra
inferred← citeshttps://doi.org/10.1145/3763146openalex-snapshot
The Continuous Tensor Abstraction: Where Indices Are Real
inferred← citeshttps://doi.org/10.1145/3808283openalex-snapshot
A Compiler for Fused Relational Operations on Multisets
inferred← citeshttps://doi.org/10.3390/sym16020181openalex-snapshot
MxPL: A Programming Language for Matrix-Related Operations
inferred← citeshttps://doi.org/10.48550/arxiv.2110.10221openalex-snapshot
The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal Padding
inferred← citeshttps://doi.org/10.48550/arxiv.2112.01394openalex-snapshot
Dynamic Sparse Tensor Algebra Compilation
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.