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The tensor algebra compiler
Published 2021“…<jats:p>Tensor algebra is a powerful tool with applications in machine learning, data analytics, engineering and the physical sciences. …”
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Format abstraction for sparse tensor algebra compilers
Published 2021“…<jats:p>This paper shows how to build a sparse tensor algebra compiler that is agnostic to tensor formats (data layouts). …”
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Format Abstractions for the Compilation of Sparse Tensor Algebra
Published 2023“…Tensors are commonly used to represent data in many domains, including data analytics, machine learning, science, and engineering. …”
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Taco: A tool to generate tensor algebra kernels
Published 2021“…Tensor algebra is an important computational abstraction that is increasingly used in data analytics, machine learning, engineering, and the physical sciences. …”
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Autoscheduling for Sparse Tensor Algebra with an Asymptotic Cost Model
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GSTACO: A Generalized Sparse Tensor Algebra Compiler
Published 2023“…Therefore, optimizations for sparse tensor algebra have received a lot of attention lately. …”
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A System to Exploit Symmetry in Common Tensor Kernels
Published 2024“…Symmetric tensors arise naturally in many domains including linear algebra, statistics, physics, chemistry, and graph theory. …”
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Automatic generation of efficient sparse tensor format conversion routines
Published 2021“…This paper shows how to generate code that efficiently converts sparse tensors between disparate storage formats (data layouts) such as CSR, DIA, ELL, and many others. …”
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A sparse iteration space transformation framework for sparse tensor algebra
Published 2021“…We address the problem of optimizing sparse tensor algebra in a compiler and show how to define standard loop transformations - -split, collapse, and reorder - -on sparse iteration spaces. …”
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A Universal Tensor Abstraction and its Application to and Implementation within Block-Based Compression
Published 2023“…Data with spatial relationships are often represented in modern programs using multidimensional arrays or other tensor structures, along with the associated metadata necessary to track the location of each piece of data. …”
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Simit: A Language for Physical Simulation
Published 2015Subjects: “…Graphs, Matrices, Tensors, Simulation…”
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Unified Compilation for Lossless Compression and Sparse Computing
Published 2023“…Achieving high performance for computations on tensors depends heavily on the formats used to store them. …”
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Compilation of sparse array programming models
Published 2022“…Such a language has great expressive power and can express sparse and dense linear and tensor algebra, functions over images, exclusion and inclusion filters, and even graph algorithms.…”
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Mechanised Hypersafety Proofs about Structured Data
Published 2024“…To turn this observation into an effective verification methodology, we developed the Logic for Graceful Tensor Manipulation (LGTM), a new Hoare-style relational separation logic for specifying and verifying computations over structured data. …”
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Simit: A Language for Physical Simulation
Published 2017“…In this article, we present Simit, a new language for physical simulations that lets the programmer view the system both as a linked data structure in the form of a hypergraph and as a set of global vectors, matrices, and tensors depending on what is convenient at any given time. …”
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