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KBLAS

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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.

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What this work says

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

inferredcites →https://doi.org/10.1002/cpe.3152openalex-snapshot
Tridiagonalization of a dense symmetric matrix on multiple GPUs and its application to symmetric eigenvalue problems
inferredcites →https://doi.org/10.1007/978-3-319-09873-9_59openalex-snapshot
High Performance Pseudo-analytical Simulation of Multi-Object Adaptive Optics over Multi-GPU Systems
inferredcites →https://doi.org/10.1007/978-3-642-19328-6_10openalex-snapshot
Accelerating GPU Kernels for Dense Linear Algebra
inferredcites →https://doi.org/10.1007/978-3-642-36949-0_23openalex-snapshot
Systematic Approach in Optimizing Numerical Memory-Bound Kernels on GPU
inferredcites →https://doi.org/10.1007/978-3-642-38718-0_10openalex-snapshot
Optimizing Memory-Bound SYMV Kernel on GPU Hardware Accelerators
inferredcites →https://doi.org/10.1016/j.parco.2010.06.001openalex-snapshot
Accelerating the reduction to upper Hessenberg, tridiagonal, and bidiagonal forms through hybrid GPU-based computing
inferredcites →https://doi.org/10.1088/1742-6596/180/1/012037openalex-snapshot
Numerical linear algebra on emerging architectures: The PLASMA and MAGMA projects
inferredcites →https://doi.org/10.1108/ir.1999.04926fae.001openalex-snapshot
Lecture Notes in Computer Science 1205
inferredcites →https://doi.org/10.1117/12.850538openalex-snapshot
CULA: hybrid GPU accelerated linear algebra routines
inferredcites →https://doi.org/10.1145/1015706.1015800openalex-snapshot
Brook for GPUs
inferredcites →https://doi.org/10.1145/1186562.1015800openalex-snapshot
Brook for GPUs
inferredcites →https://doi.org/10.1145/1498765.1498785openalex-snapshot
Roofline
inferredcites →https://doi.org/10.1145/2063384.2063392openalex-snapshot
Optimizing symmetric dense matrix-vector multiplication on GPUs
inferredcites →https://doi.org/10.1145/2063384.2063431openalex-snapshot
Fast implementation of DGEMM on Fermi GPU
inferredcites →https://doi.org/10.1177/1094342010385729openalex-snapshot
An Improved Magma Gemm For Fermi Graphics Processing Units
inferredcites →https://doi.org/10.1201/b10376-6openalex-snapshot
BLAS for GPUs
inferredcites →https://doi.org/10.5555/1413370.1413402openalex-snapshot
Benchmarking GPUs to tune dense linear algebra

What points at this work

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

inferred← citeshttps://doi.org/10.1002/cpe.3874openalex-snapshot
Performance optimization of Sparse Matrix‐Vector Multiplication for multi‐component PDE‐based applications using GPUs
inferred← citeshttps://doi.org/10.1002/cpe.4187openalex-snapshot
A framework for dense triangular matrix kernels on various manycore architectures
inferred← citeshttps://doi.org/10.1002/cpe.4705openalex-snapshot
Efficient dense matrix‐vector multiplication on GPU
inferred← citeshttps://doi.org/10.1002/cpe.70715openalex-snapshot
Optimized Parallel Reduction for Regular and Irregular Segments on GPU
inferred← citeshttps://doi.org/10.1002/fld.5297openalex-snapshot
A hybrid CPU‐GPU paradigm to accelerate reactive CFD simulations
inferred← citeshttps://doi.org/10.1007/978-3-030-50743-5_13openalex-snapshot
Using High-Level Synthesis to Implement the Matrix-Vector Multiplication on FPGA
inferred← citeshttps://doi.org/10.1007/978-3-030-86359-3_14openalex-snapshot
Optimized Hybrid Execution of Dense Matrix-Matrix Multiplication on Clusters of Heterogeneous Multicore and Many-Core Platforms
inferred← citeshttps://doi.org/10.1007/978-3-031-82065-6_8openalex-snapshot
Empowering Real-Time IoT Applications: A Brief Review on Leveraging GPU Acceleration for Latency Reduction
inferred← citeshttps://doi.org/10.1007/978-3-319-43659-3_35openalex-snapshot
Redesigning Triangular Dense Matrix Computations on GPUs
inferred← citeshttps://doi.org/10.1007/978-3-662-48096-0_46openalex-snapshot
High Performance Multi-GPU SpMV for Multi-component PDE-Based Applications
inferred← citeshttps://doi.org/10.1007/978-981-13-5910-1_7openalex-snapshot
A Parallel Solving Algorithm on GPU for the Time-Domain Linear System with Diagonal Sparse Matrices
inferred← citeshttps://doi.org/10.1007/s10766-025-00788-1openalex-snapshot
Performance Characterization of Python Runtimes for Multi-device Task Parallel Programming
inferred← citeshttps://doi.org/10.1007/s11390-024-3673-8openalex-snapshot
Optimization of Generalized Eigensolver for Dense Symmetric Matrices on AMD GPU
inferred← citeshttps://doi.org/10.1016/j.cageo.2022.105122openalex-snapshot
CUDA-based parallelization of time-weighted dynamic time warping algorithm for time series analysis of remote sensing data
inferred← citeshttps://doi.org/10.1016/j.cam.2019.112349openalex-snapshot
A corrected spectral method for Sturm–Liouville problems with unbounded potential at one endpoint
inferred← citeshttps://doi.org/10.1016/j.cpc.2020.107568openalex-snapshot
The fast and accurate computation of eigenvalues and eigenfunctions of time-independent one-dimensional Schrödinger equations
inferred← citeshttps://doi.org/10.1016/j.jpdc.2021.02.013openalex-snapshot
TSM2X: High-performance tall-and-skinny matrix–matrix multiplication on GPUs
inferred← citeshttps://doi.org/10.1098/rsta.2019.0055openalex-snapshot
Hierarchical algorithms on hierarchical architectures
inferred← citeshttps://doi.org/10.1109/access.2018.2823299openalex-snapshot
Performance and Power Efficient Massive Parallel Computational Model for HPC Heterogeneous Exascale Systems
inferred← citeshttps://doi.org/10.1109/clei.2016.7833412openalex-snapshot
Overview of HPC benchmarks in hybrid hardware platforms (CPUs+GPUs)
inferred← citeshttps://doi.org/10.1109/dac63849.2025.11133288openalex-snapshot
CIM-BLAS: Computing-in-Memory Accelerator for BLAS
inferred← citeshttps://doi.org/10.1109/hpec43674.2020.9286214openalex-snapshot
Design, Optimization, and Benchmarking of Dense Linear Algebra Algorithms on AMD GPUs
inferred← citeshttps://doi.org/10.1109/ipdpsw63119.2024.00187openalex-snapshot
A Deep Dive into Task-Based Parallelism in Python
inferred← citeshttps://doi.org/10.1109/ipdpsw66978.2025.00069openalex-snapshot
Adaptive Sketching Based Construction of H2 Matrices on GPUs
inferred← citeshttps://doi.org/10.1109/tc.2024.3517745openalex-snapshot
A Context-Awareness and Hardware-Friendly Sparse Matrix Multiplication Kernel for CNN Inference Acceleration
inferred← citeshttps://doi.org/10.1109/tpds.2018.2842785openalex-snapshot
Analysis and Design Techniques towards High-Performance and Energy-Efficient Dense Linear Solvers on GPUs
inferred← citeshttps://doi.org/10.1109/tpds.2026.3692274openalex-snapshot
OSLA: A High Performance One-Sided Linear Algebra Library on GPU Architectures
inferred← citeshttps://doi.org/10.1137/15m1026432openalex-snapshot
Accelerated Dimension-Independent Adaptive Metropolis
inferred← citeshttps://doi.org/10.1145/3038228.3038234openalex-snapshot
Efficient Convex Optimization on GPUs for Embedded Model Predictive Control
inferred← citeshttps://doi.org/10.1145/3093172.3093230openalex-snapshot
Asynchronous Task-Based Parallelization of Algebraic Multigrid
inferred← citeshttps://doi.org/10.1145/3232850openalex-snapshot
Hierarchical Matrix Operations on GPUs
inferred← citeshttps://doi.org/10.1145/3267101openalex-snapshot
Batched Triangular Dense Linear Algebra Kernels for Very Small Matrix Sizes on GPUs
inferred← citeshttps://doi.org/10.1145/3330345.3330355openalex-snapshot
TSM2
inferred← citeshttps://doi.org/10.1145/3570638openalex-snapshot
Optimization Techniques for GPU Programming
inferred← citeshttps://doi.org/10.1145/3572848.3577479openalex-snapshot
Stream-K
inferred← citeshttps://doi.org/10.1145/3627535.3638489openalex-snapshot
Fast Kronecker Matrix-Matrix Multiplication on GPUs
inferred← citeshttps://doi.org/10.1145/3721145.3730431openalex-snapshot
Multi-Node Multi-GPU Datalog
inferred← citeshttps://doi.org/10.1145/3784828.3786264openalex-snapshot
Performance and Programmability of MPI+X Integration with CUDA, HIP, SYCL, OpenACC, and OpenMP Offloading for Supercomputing: A Case Study on Dense Matrix–Vector Multiplication
inferred← citeshttps://doi.org/10.1177/10943420241288567openalex-snapshot
A graphics processing unit accelerated sparse direct solver and preconditioner with block low rank compression
inferred← citeshttps://doi.org/10.18653/v1/n18-3014openalex-snapshot
Pieces of Eight: 8-bit Neural Machine Translation
inferred← citeshttps://doi.org/10.21205/deufmd.2024267606openalex-snapshot
Quantitative Performance Analysis of BLAS Libraries on GPU Architectures
inferred← citeshttps://doi.org/10.23919/isc.2024.10528930openalex-snapshot
GPU-Accelerated Vecchia Approximations of Gaussian Processes for Geospatial Data using Batched Matrix Computations
inferred← citeshttps://doi.org/10.25209/2079-3316-2020-11-3-33-59openalex-snapshot
Multiple-precision matrix-vector multiplication on graphics processing units
inferred← citeshttps://doi.org/10.25209/2079-3316-2020-11-3-61-84openalex-snapshot
Multiple-precision matrix-vector multiplication on graphics processing units
inferred← citeshttps://doi.org/10.25781/kaust-yptcxopenalex-snapshot
Massively Parallel Dimension Independent Adaptive Metropolis
inferred← citeshttps://doi.org/10.32604/csse.2021.017144openalex-snapshot
Efficient Concurrent L1-Minimization Solvers on GPUs
inferred← citeshttps://doi.org/10.3390/app112311570openalex-snapshot
CitiusSynapse: A Deep Learning Framework for Embedded Systems
inferred← citeshttps://doi.org/10.3390/electronics14183609openalex-snapshot
Parallelization of the Koopman Operator Based on CUDA and Its Application in Multidimensional Flight Trajectory Prediction
inferred← citeshttps://doi.org/10.3390/fi13020036openalex-snapshot
High Performance Graph Data Imputation on Multiple GPUs
inferred← citeshttps://doi.org/10.48550/arxiv.1902.01829openalex-snapshot
Hierarchical Matrix Operations on GPUs: Matrix-Vector Multiplication and Compression
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