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High-Performance Generalized Tensor Operations
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Parallel Blocked Algorithm for Solving the Algebraic Path Problem on a Matrix Processor
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An exact method for analysis of value-based array data dependences
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Minimizing Computation in Convolutional Neural Networks
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Data Layout Transformation for Stencil Computations on Short-Vector SIMD Architectures
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Generalizing Matrix Multiplication for Efficient Computations on Modern Computers
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Semi-Automatic Composition of Loop Transformations for Deep Parallelism and Memory Hierarchies
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Towards an efficient use of the BLAS library for multilinear tensor contractions
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A cellular automaton traffic flow model for online simulation of traffic
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Automated empirical optimizations of software and the ATLAS project
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GPU-Based Implementations of the Noniterative Regularized-CCSD(T) Corrections: Applications to Strongly Correlated Systems
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Tensor Contraction Engine: Abstraction and Automated Parallel Implementation of Configuration-Interaction, Coupled-Cluster, and Many-Body Perturbation Theories
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Parameterized Polyhedra and Their Vertices
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Coupled-cluster theory in quantum chemistry
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Automatic generation of fast BLAS3-GEMM: A portable compiler approach
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Flexible parallel algorithms for big data optimization
inferredcites →https://doi.org/10.1109/icpads.2012.97openalex-snapshot
Model-driven Level 3 BLAS Performance Optimization on Loongson 3A Processor
inferredcites →https://doi.org/10.1109/ipdps.2011.101openalex-snapshot
Model-Driven SIMD Code Generation for a Multi-resolution Tensor Kernel
inferredcites →https://doi.org/10.1109/ipdps.2014.110openalex-snapshot
Anatomy of High-Performance Many-Threaded Matrix Multiplication
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Synthesis of High-Performance Parallel Programs for a Class of ab Initio Quantum Chemistry Models
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Accelerating Correlated Quantum Chemistry Calculations Using Graphical Processing Units
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Specializing Compiler Optimizations through Programmable Composition for Dense Matrix Computations
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Efficient Implementation of Many-Body Quantum Chemical Methods on the Intel® Xeon Phi Coprocessor
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P3DFFT: A Framework for Parallel Computations of Fourier Transforms in Three Dimensions
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MADNESS: A Multiresolution, Adaptive Numerical Environment for Scientific Simulation
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POLLY — PERFORMING POLYHEDRAL OPTIMIZATIONS ON A LOW-LEVEL INTERMEDIATE REPRESENTATION
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Anatomy of high-performance matrix multiplication
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A practical automatic polyhedral parallelizer and locality optimizer
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A practical automatic polyhedral parallelizer and locality optimizer
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Automating the generation of composed linear algebra kernels
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Static analysis of upper and lower bounds on dependences and parallelism
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Using machine learning to improve automatic vectorization
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A Basic Linear Algebra Compiler
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A Basic Linear Algebra Compiler
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Optimizing matrix multiply using PHiPAC
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BLIS: A Framework for Rapidly Instantiating BLAS Functionality
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Analytical Modeling Is Enough for High-Performance BLIS
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High-level semantic optimization of numerical codes
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Design of a High-Performance GEMM-like Tensor–Tensor Multiplication
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Terascale spectral element algorithms and implementations
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Basic Linear Algebra Subprograms for Fortran Usage
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A set of level 3 basic linear algebra subprograms
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A Solution of the All-Pairs Shortest Paths Problem on the Cell Broadband Engine Processor
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Fast Convolutional Nets With fbfft: A GPU Performance Evaluation
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TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
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Development of Beowulf Cluster to Perform Large Datasets Simulations in Educational Institutions
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Automatic generation of fast BLAS3-GEMM: a portable compiler approach
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Fast matrix multiplication via compiler‐only layered data reorganization and intrinsic lowering
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Design and Use of Loop-Transformation Pragmas
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Modeling Matrix Engines for Portability and Performance
inferred← citeshttps://doi.org/10.1109/llvm-hpc.2018.8639402openalex-snapshot
User-Directed Loop-Transformations in Clang
inferred← citeshttps://doi.org/10.1109/llvmhpchipar51896.2020.00007openalex-snapshot
Autotuning Search Space for Loop Transformations
inferred← citeshttps://doi.org/10.1109/pact52795.2021.00009openalex-snapshot
PolyGym: Polyhedral Optimizations as an Environment for Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/pact52795.2021.00011openalex-snapshot
Polygeist: Raising C to Polyhedral MLIR
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Customized Monte Carlo Tree Search for LLVM/Polly's Composable Loop Optimization Transformations
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Analytical Modeling of Matrix-Vector Multiplication on Multicore Processors: Solving Inverse Gravimetry Problem
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Polyhedral Compilation for Racetrack Memories
inferred← citeshttps://doi.org/10.1145/3316482.3326351openalex-snapshot
Optimizing tensor contractions for embedded devices with racetrack memory scratch-pads
inferred← citeshttps://doi.org/10.1145/3372266openalex-snapshot
Declarative Loop Tactics for Domain-specific Optimization
inferred← citeshttps://doi.org/10.1145/3396235openalex-snapshot
Optimizing Tensor Contractions for Embedded Devices with Racetrack and DRAM Memories
inferred← citeshttps://doi.org/10.1145/3571283openalex-snapshot
Source Matching and Rewriting for MLIR Using String-Based Automata
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Torchy: A Tracing JIT Compiler for PyTorch
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Proceedings of the 9th ACM SIGPLAN International Workshop on Libraries, Languages and Compilers for Array Programming
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Towards Structured Algebraic Programming
inferred← citeshttps://doi.org/10.1145/3609024.3609410openalex-snapshot
Rank-Polymorphism for Shape-Guided Blocking
inferred← citeshttps://doi.org/10.1145/3720506openalex-snapshot
Compressed and Parallelized Structured Tensor Algebra
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A Pattern Generation Language for MLIR Compiler Matching and Rewriting
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Application of Analytical Modeling of Matrix-Vector Multiplication on Multicore Processors
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Optimization Methods for Generalized Tensor Contraction
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Program transformations as the base for optimizing parallelizing compilers
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High-Performance Deep Learning via a Single Building Block
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A Reinforcement Learning Environment for Polyhedral Optimizations
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