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The BLIS Framework

https://doi.org/10.1145/2755561
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11558958_30openalex-snapshot
A Family of High-Performance Matrix Multiplication Algorithms
inferredcites →https://doi.org/10.1109/dsn.2001.941390openalex-snapshot
Fault-tolerant high-performance matrix multiplication: theory and practice
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.2013.113openalex-snapshot
Design and Implementation of the Linpack Benchmark for Single and Multi-node Systems Based on Intel® Xeon Phi Coprocessor
inferredcites →https://doi.org/10.1109/ipdps.2014.110openalex-snapshot
Anatomy of High-Performance Many-Threaded Matrix Multiplication
inferredcites →https://doi.org/10.1109/jproc.2004.840444openalex-snapshot
Is Search Really Necessary to Generate High-Performance BLAS?
inferredcites →https://doi.org/10.1109/mcse.2009.207openalex-snapshot
The libflame Library for Dense Matrix Computations
inferredcites →https://doi.org/10.1109/sbac-pad.2012.26openalex-snapshot
Level-3 BLAS on the TI C6678 Multi-core DSP
inferredcites →https://doi.org/10.1109/sbac-pad.2012.35openalex-snapshot
On the Efficiency of Register File versus Broadcast Interconnect for Collective Communications in Data-Parallel Hardware Accelerators
inferredcites →https://doi.org/10.1109/tc.1984.1676475openalex-snapshot
Algorithm-Based Fault Tolerance for Matrix Operations
inferredcites →https://doi.org/10.1109/tc.2012.132openalex-snapshot
Codesign Tradeoffs for High-Performance, Low-Power Linear Algebra Architectures
inferredcites →https://doi.org/10.1137/1.9780898719604openalex-snapshot
LAPACK Users' Guide
inferredcites →https://doi.org/10.1145/1188455openalex-snapshot
Proceedings of the 2006 ACM/IEEE conference on Supercomputing - SC '06
inferredcites →https://doi.org/10.1145/1356052.1356053openalex-snapshot
Anatomy of high-performance matrix multiplication
inferredcites →https://doi.org/10.1145/1377603.1377607openalex-snapshot
High-performance implementation of the level-3 BLAS
inferredcites →https://doi.org/10.1145/2304576.2304609openalex-snapshot
Blue Gene/Q
inferredcites →https://doi.org/10.1145/2764454openalex-snapshot
BLIS: A Framework for Rapidly Instantiating BLAS Functionality
inferredcites →https://doi.org/10.1145/292395.292412openalex-snapshot
GEMM-based level 3 BLAS
inferredcites →https://doi.org/10.1145/2925987openalex-snapshot
Analytical Modeling Is Enough for High-Performance BLIS
inferredcites →https://doi.org/10.1145/355841.355847openalex-snapshot
Basic Linear Algebra Subprograms for Fortran Usage
inferredcites →https://doi.org/10.1145/42288.42291openalex-snapshot
An extended set of FORTRAN basic linear algebra subprograms
inferredcites →https://doi.org/10.1145/77626.79170openalex-snapshot
A set of level 3 basic linear algebra subprograms
inferredcites →https://doi.org/10.1147/jrd.2011.2127330openalex-snapshot
IBM POWER7 multicore server processor
inferredcites →https://doi.org/10.1147/jrd.2012.2222991openalex-snapshot
Design of the IBM Blue Gene/Q Compute chip
inferredcites →https://doi.org/10.5555/509058.509096openalex-snapshot
Automatically Tuned Linear Algebra Software

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.4676008openalex-extracted
inferred← citeshttps://doi.org/10.1007/978-3-031-85700-3_2openalex-snapshot
Batched DGEMMs for Scientific Codes Running on Long Vector Architectures
inferred← citeshttps://doi.org/10.1007/978-3-032-07612-0_33openalex-snapshot
Generation of Mixed-Precision Kernels for Quantized Transformer Encoders with Exo
inferred← citeshttps://doi.org/10.1007/978-3-032-07612-0_41openalex-snapshot
Evaluation of RVV-Enabled COTS Platforms with Matrix Multiplication and Exo
inferred← citeshttps://doi.org/10.1007/978-3-319-07518-1_1openalex-snapshot
Sustained Petascale Performance of Seismic Simulations with SeisSol on SuperMUC
inferred← citeshttps://doi.org/10.1007/978-3-319-49583-5_30openalex-snapshot
The Impact of Panel Factorization on the Gauss-Huard Algorithm for the Solution of Linear Systems on Modern Architectures
inferred← citeshttps://doi.org/10.1007/s00180-024-01461-wopenalex-snapshot
Which C compiler and BLAS/LAPACK library should I use: gretl’s numerical efficiency in different configurations
inferred← citeshttps://doi.org/10.1007/s10586-016-0611-8openalex-snapshot
Architecture-aware configuration and scheduling of matrix multiplication on asymmetric multicore processors
inferred← citeshttps://doi.org/10.1007/s10586-019-02927-zopenalex-snapshot
Programming parallel dense matrix factorizations with look-ahead and OpenMP
inferred← citeshttps://doi.org/10.1007/s10586-025-05426-6openalex-snapshot
Cache-aware optimization of matrix multiplication and matrix factorizations on multicore processors
inferred← citeshttps://doi.org/10.1007/s11075-018-0500-8openalex-snapshot
Look-ahead in the two-sided reduction to compact band forms for symmetric eigenvalue problems and the SVD
inferred← citeshttps://doi.org/10.1007/s11227-018-2702-1openalex-snapshot
Auto-tuning GEMM kernels on the Intel KNL and Intel Skylake-SP processors
inferred← citeshttps://doi.org/10.1007/s11227-019-03078-zopenalex-snapshot
Integration and exploitation of intra-routine malleability in BLIS
inferred← citeshttps://doi.org/10.1007/s11227-021-03636-4openalex-snapshot
Low precision matrix multiplication for efficient deep learning in NVIDIA Carmel processors
inferred← citeshttps://doi.org/10.1007/s11227-022-05003-3openalex-snapshot
Micro-kernels for portable and efficient matrix multiplication in deep learning
inferred← citeshttps://doi.org/10.1007/s11227-024-05955-8openalex-snapshot
Automatic generation of ARM NEON micro-kernels for matrix multiplication
inferred← citeshttps://doi.org/10.1016/j.cma.2021.113973openalex-snapshot
A compute-bound formulation of Galerkin model reduction for linear time-invariant dynamical systems
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2015.03.035openalex-snapshot
Non-negative Matrix Factorization on Low-Power Architectures and Accelerators: A Comparative Study
inferred← citeshttps://doi.org/10.1016/j.cpc.2022.108375openalex-snapshot
Optimized implementation for calculation and fast-update of Pfaffians installed to the open-source fermionic variational solver mVMC
inferred← citeshttps://doi.org/10.1016/j.future.2025.107932openalex-snapshot
Exploring RISC-V long vector capabilities: A case study in Earth Sciences
inferred← citeshttps://doi.org/10.1016/j.future.2025.108231openalex-snapshot
The cambrian explosion of mixed-precision matrix multiplication for quantized deep learning inference
inferred← citeshttps://doi.org/10.1016/j.jocs.2016.10.020openalex-snapshot
Multi-threaded dense linear algebra libraries for low-power asymmetric multicore processors
inferred← citeshttps://doi.org/10.1016/j.jpdc.2022.05.009openalex-snapshot
Efficient and portable GEMM-based convolution operators for deep neural network training on multicore processors
inferred← citeshttps://doi.org/10.1016/j.parco.2017.05.004openalex-snapshot
Energy balance between voltage-frequency scaling and resilience for linear algebra routines on low-power multicore architectures
inferred← citeshttps://doi.org/10.1016/j.parco.2017.06.002openalex-snapshot
Revisiting conventional task schedulers to exploit asymmetry in multi-core architectures for dense linear algebra operations
inferred← citeshttps://doi.org/10.1016/j.parco.2018.03.005openalex-snapshot
Two-sided orthogonal reductions to condensed forms on asymmetric multicore processors
inferred← citeshttps://doi.org/10.1016/j.sysarc.2022.102806openalex-snapshot
Reformulating the direct convolution for high-performance deep learning inference on ARM processors
inferred← citeshttps://doi.org/10.1016/j.sysarc.2024.103186openalex-snapshot
Parallel GEMM-based convolutions for deep learning on multicore ARM and RISC-V architectures
inferred← citeshttps://doi.org/10.1109/access.2019.2895541openalex-snapshot
A Case for Malleable Thread-Level Linear Algebra Libraries: The LU Factorization With Partial Pivoting
inferred← citeshttps://doi.org/10.1109/bibe50027.2020.00019openalex-snapshot
qLD: High-performance Computation of Linkage Disequilibrium on CPU and GPU
inferred← citeshttps://doi.org/10.1109/bigdata.2018.8622013openalex-snapshot
A Flexible-blocking Based Approach for Performance Tuning of Matrix Multiplication Routines for Large Matrices with Edge Cases
inferred← citeshttps://doi.org/10.1109/cgo57630.2024.10444883openalex-snapshot
Tackling the Matrix Multiplication Micro-Kernel Generation with Exo
inferred← citeshttps://doi.org/10.1109/hipc66333.2025.00038openalex-snapshot
Performance-Portable Optimization and Analysis of Multiple Right-Hand Sides in a Lattice QCD Solver
inferred← citeshttps://doi.org/10.1109/hotchips.2014.7478835openalex-snapshot
Level-3 BLAS on myriad multi-core media-processor SoC
inferred← citeshttps://doi.org/10.1109/hpca56546.2023.10071076openalex-snapshot
Mix-GEMM: An efficient HW-SW Architecture for Mixed-Precision Quantized Deep Neural Networks Inference on Edge Devices
inferred← citeshttps://doi.org/10.1109/hpcc67675.2025.00034openalex-snapshot
Optimization of General Matrix Multiplication for RISC-V Processors
inferred← citeshttps://doi.org/10.1109/ipdps53621.2022.00117openalex-snapshot
Modeling Matrix Engines for Portability and Performance
inferred← citeshttps://doi.org/10.1109/ipdps54959.2023.00024openalex-snapshot
Accelerating CNN inference on long vector architectures via co-design
inferred← citeshttps://doi.org/10.1109/ipdps64566.2025.00106openalex-snapshot
FATHOM: Fast Attention Through Optimizing Memory
inferred← citeshttps://doi.org/10.1109/ipdpsw.2016.104openalex-snapshot
Refactoring Conventional Task Schedulers to Exploit Asymmetric ARM big.LITTLE Architectures in Dense Linear Algebra
inferred← citeshttps://doi.org/10.1109/ipdpsw.2016.80openalex-snapshot
Efficient Computation of Linkage Disequilibria as Dense Linear Algebra Operations
inferred← citeshttps://doi.org/10.1109/ipdpsw.2017.10openalex-snapshot
Static Versus Dynamic Task Scheduling of the Lu Factorization on ARM big. LITTLE Architectures
inferred← citeshttps://doi.org/10.1109/ipdpsw.2018.00064openalex-snapshot
Learning from Optimizing Matrix-Matrix Multiplication
inferred← citeshttps://doi.org/10.1109/ipdpsw52791.2021.00104openalex-snapshot
Scalable Hybrid Loop- and Task-Parallel Matrix Inversion for Multicore Processors
inferred← citeshttps://doi.org/10.1109/jiot.2025.3560382openalex-snapshot
Latency-Critical Quantized Inference With Transformer Decoders on ARM and RISC-V CPUs
inferred← citeshttps://doi.org/10.1109/pdp52278.2021.00027openalex-snapshot
High Performance and Energy Efficient Integer Matrix Multiplication for Deep Learning
inferred← citeshttps://doi.org/10.1109/pdp55904.2022.00023openalex-snapshot
Anatomy of the BLIS Family of Algorithms for Matrix Multiplication
inferred← citeshttps://doi.org/10.1109/sbac-pad49847.2020.00023openalex-snapshot
High Performance and Portable Convolution Operators for Multicore Processors
inferred← citeshttps://doi.org/10.1137/16m108968xopenalex-snapshot
High-Performance Tensor Contraction without Transposition
inferred← citeshttps://doi.org/10.1137/17m1135578openalex-snapshot
Strassen's Algorithm for Tensor Contraction
inferred← citeshttps://doi.org/10.1142/s179396231850037xopenalex-snapshot
The design of JVM and native libraries in ScalaLab for efficient scientific computation
inferred← citeshttps://doi.org/10.1142/s1793962320500312openalex-snapshot
Scientific scripting in Java with JShellLab and application to deep learning using DeepLearning4j
inferred← citeshttps://doi.org/10.1145/2807591.2807601openalex-snapshot
Performance optimization for the k-nearest neighbors kernel on x86 architectures
inferred← citeshttps://doi.org/10.1145/2925987openalex-snapshot
Analytical Modeling Is Enough for High-Performance BLIS
inferred← citeshttps://doi.org/10.1145/3026937.3026938openalex-snapshot
Reduction to Tridiagonal Form for Symmetric Eigenproblems on Asymmetric Multicore Processors
inferred← citeshttps://doi.org/10.1145/3078155.3078189openalex-snapshot
SYCL-BLAS
inferred← citeshttps://doi.org/10.1145/3086466openalex-snapshot
Implementing High-performance Complex Matrix Multiplication via the 3m and 4m Methods
inferred← citeshttps://doi.org/10.1145/3210754openalex-snapshot
BLASFEO
inferred← citeshttps://doi.org/10.1145/3274654openalex-snapshot
SCP
inferred← citeshttps://doi.org/10.1145/3293320.3293334openalex-snapshot
Optimizing parallel GEMM routines using auto-tuning with Intel AVX-512
inferred← citeshttps://doi.org/10.1145/3362694openalex-snapshot
A Tight I/O Lower Bound for Matrix Multiplication
inferred← citeshttps://doi.org/10.1145/3375555.3383586openalex-snapshot
Acceleration Opportunities in Linear Algebra Applications via Idiom Recognition
inferred← citeshttps://doi.org/10.1145/3433103openalex-snapshot
PolyDL
inferred← citeshttps://doi.org/10.1145/3520306.3534503openalex-snapshot
Using q-learning to select the best among functionally equivalent implementations
inferred← citeshttps://doi.org/10.1145/3577193.3593707openalex-snapshot
Towards a Unified Implementation of GEMM in BLIS
inferred← citeshttps://doi.org/10.1145/3595178openalex-snapshot
Cache Optimization and Performance Modeling of Batched, Small, and Rectangular Matrix Multiplication on Intel, AMD, and Fujitsu Processors
inferred← citeshttps://doi.org/10.1145/3607870openalex-snapshot
SMaLL: Software for Rapidly Instantiating Machine Learning Libraries
inferred← citeshttps://doi.org/10.1145/3624062.3624229openalex-snapshot
Automatic Generation of Micro-kernels for Performance Portability of Matrix Multiplication on RISC-V Vector Processors
inferred← citeshttps://doi.org/10.1145/3640537.3641564openalex-snapshot
Compiler-Based Memory Encryption for Machine Learning on Commodity Low-Power Devices
inferred← citeshttps://doi.org/10.1145/3696443.3708952openalex-snapshot
A Multi-level Compiler Backend for Accelerated Micro-kernels Targeting RISC-V ISA Extensions
inferred← citeshttps://doi.org/10.1145/3712285.3759895openalex-snapshot
KAMI: Communication-Avoiding General Matrix Multiplication within a Single GPU
inferred← citeshttps://doi.org/10.1145/3754598.3754612openalex-snapshot
Architecture-Aware Models of AI Engines for High-Performance Matrix Matrix Multiplication
inferred← citeshttps://doi.org/10.1145/3763074openalex-snapshot
REPTILE: Performant Tiling of Recurrences
inferred← citeshttps://doi.org/10.1177/10943420241278981openalex-snapshot
Non-smooth Bayesian optimization in tuning scientific applications
inferred← citeshttps://doi.org/10.1177/10943420251355115openalex-snapshot
Characterization of quantized inference with transformer encoders on low power CPUs
inferred← citeshttps://doi.org/10.18154/rwth-2018-223017openalex-snapshot
Performance Modeling and Prediction for Dense Linear Algebra
inferred← citeshttps://doi.org/10.2172/1372103openalex-snapshot
2016 Annual Report - Argonne Leadership Computing Facility
inferred← citeshttps://doi.org/10.48550/arxiv.1509.02058openalex-snapshot
Revisiting Conventional Task Schedulers to Exploit Asymmetry in ARM big.LITTLE Architectures for Dense Linear Algebra
inferred← citeshttps://doi.org/10.48550/arxiv.1609.00076openalex-snapshot
BLISlab: A Sandbox for Optimizing GEMM
inferred← citeshttps://doi.org/10.48550/arxiv.1611.08035openalex-snapshot
Automating the Last-Mile for High Performance Dense Linear Algebra
inferred← citeshttps://doi.org/10.48550/arxiv.1811.03743openalex-snapshot
Spatter: A Tool for Evaluating Gather / Scatter Performance
inferred← citeshttps://doi.org/10.48550/arxiv.1904.05717openalex-snapshot
The MOMMS Family of Matrix Multiplication Algorithms
inferred← citeshttps://doi.org/10.48550/arxiv.2005.06410openalex-snapshot
High Performance and Portable Convolution Operators for ARM-based Multicore Processors
inferred← citeshttps://doi.org/10.48550/arxiv.2101.05615openalex-snapshot
FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference
inferred← citeshttps://doi.org/10.48550/arxiv.2104.05573openalex-snapshot
AI Powered Compiler Techniques for DL Code Optimization
inferred← citeshttps://doi.org/10.48550/arxiv.2105.09187openalex-snapshot
High performance and energy efficient inference for deep learning on ARM processors
inferred← citeshttps://doi.org/10.48550/arxiv.2109.07563openalex-snapshot
Non-smooth Bayesian Optimization in Tuning Problems
inferred← citeshttps://doi.org/10.5555/2755753.2757058openalex-snapshot
A basic linear algebra compiler for embedded processors
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