On the public citation graph

Efficient Support for Matrix Computations on Heterogeneous Multi-core and Multi-GPU Architectures

0 signed · 36 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1002/1096-9128(20001225)12:15<1481::aid-cpe540>3.0.co;2-vopenalex-snapshot
The design and implementation of the parallel out-of-core ScaLAPACK LU, QR, and Cholesky factorization routines
inferredcites →https://doi.org/10.1002/cpe.v20:13openalex-snapshot
Parallel tiled QR factorization for multicore architectures
inferredcites →https://doi.org/10.1007/978-3-540-75755-9_1openalex-snapshot
The Impact of Multicore on Math Software
inferredcites →https://doi.org/10.1007/978-3-642-03869-3_79openalex-snapshot
An Extension of the StarSs Programming Model for Platforms with Multiple GPUs
inferredcites →https://doi.org/10.1016/j.jpdc.2004.03.021openalex-snapshot
Communication lower bounds for distributed-memory matrix multiplication
inferredcites →https://doi.org/10.1016/j.parco.2007.06.001openalex-snapshot
Data distribution for dense factorization on computers with memory heterogeneity
inferredcites →https://doi.org/10.1016/j.parco.2008.10.002openalex-snapshot
A class of parallel tiled linear algebra algorithms for multicore architectures
inferredcites →https://doi.org/10.1016/s0167-8191(99)00012-5openalex-snapshot
Static tiling for heterogeneous computing platforms
inferredcites →https://doi.org/10.1016/s0743-7315(02)00008-4openalex-snapshot
A novel dynamic load balancing scheme for parallel systems
inferredcites →https://doi.org/10.1109/12.956091openalex-snapshot
A proposal for a heterogeneous cluster ScaLAPACK (dense linear solvers)
inferredcites →https://doi.org/10.1109/hpcs.2010.5547094openalex-snapshot
Retargeting PLAPACK to clusters with hardware accelerators
inferredcites →https://doi.org/10.1109/ipdps.2011.15openalex-snapshot
Communication-Avoiding QR Decomposition for GPUs
inferredcites →https://doi.org/10.1109/ipdps.2011.90openalex-snapshot
QR Factorization on a Multicore Node Enhanced with Multiple GPU Accelerators
inferredcites →https://doi.org/10.1109/mm.2010.41openalex-snapshot
The GPU Computing Era
inferredcites →https://doi.org/10.1109/sc.2010.49openalex-snapshot
Scaling Hierarchical N-body Simulations on GPU Clusters
inferredcites →https://doi.org/10.1117/12.850538openalex-snapshot
CULA: hybrid GPU accelerated linear algebra routines
inferredcites →https://doi.org/10.1137/080731992openalex-snapshot
Communication-optimal Parallel and Sequential QR and LU Factorizations
inferredcites →https://doi.org/10.1145/1654059.1654079openalex-snapshot
Dynamic task scheduling for linear algebra algorithms on distributed-memory multicore systems
inferredcites →https://doi.org/10.1145/1654059.1654080openalex-snapshot
Comparative study of one-sided factorizations with multiple software packages on multi-core hardware
inferredcites →https://doi.org/10.5555/1413370.1413400openalex-snapshot
Communication avoiding Gaussian elimination

What points at this work

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

inferred← citeshttps://doi.org/10.1002/9781118376270.refsopenalex-snapshot
References
inferred← citeshttps://doi.org/10.1007/978-3-642-31125-3_3openalex-snapshot
Parallel Algorithm for Landform Attributes Representation on Multicore and Multi-GPU Systems
inferred← citeshttps://doi.org/10.1007/978-3-642-40447-4_18openalex-snapshot
Towards Heterogeneous Computing without Heterogeneous Programming
inferred← citeshttps://doi.org/10.1007/s10915-013-9805-xopenalex-snapshot
Exploiting Batch Processing on Streaming Architectures to Solve 2D Elliptic Finite Element Problems: A Hybridized Discontinuous Galerkin (HDG) Case Study
inferred← citeshttps://doi.org/10.1007/s11227-014-1191-0openalex-snapshot
Automatic routine tuning to represent landform attributes on multicore and multi-GPU systems
inferred← citeshttps://doi.org/10.1016/j.parco.2013.04.001openalex-snapshot
Scalable lattice Boltzmann solvers for CUDA GPU clusters
inferred← citeshttps://doi.org/10.1016/j.procs.2012.04.006openalex-snapshot
Heterogeneous Computational Model for Landform Attributes Representation on Multicore and Multi-GPU Systems
inferred← citeshttps://doi.org/10.1021/ct300442wopenalex-snapshot
Computing the Density Matrix in Electronic Structure Theory on Graphics Processing Units
inferred← citeshttps://doi.org/10.1021/ct5008229openalex-snapshot
Computation of the Density Matrix in Electronic Structure Theory in Parallel on Multiple Graphics Processing Units
inferred← citeshttps://doi.org/10.1109/access.2018.2803794openalex-snapshot
A Heterogeneous Parallel Cholesky Block Factorization Algorithm
inferred← citeshttps://doi.org/10.1109/access.2019.2917714openalex-snapshot
Dynamic Scheduling Strategy for Block Parallel Cholesky Factorization Based on Activity on Edge Network
inferred← citeshttps://doi.org/10.1109/wscad-ssc.2012.12openalex-snapshot
Auto-Tuning Methodology to Represent Landform Attributes on Multicore and Multi-GPU Systems
inferred← citeshttps://doi.org/10.1145/2312005.2312025openalex-snapshot
A scalable framework for heterogeneous GPU-based clusters
inferred← citeshttps://doi.org/10.1145/2442992.2443006openalex-snapshot
Auto-tuning methodology to represent landform attributes on multicore and multi-GPU systems
inferred← citeshttps://doi.org/10.1155/2019/3720450openalex-snapshot
A Heterogeneous Parallel LU Factorization Algorithm Based on a Basic Column Block Uniform Allocation Strategy
inferred← citeshttps://doi.org/10.25781/kaust-j256dopenalex-snapshot
High Productivity Programming of Dense Linear Algebra on Heterogeneous NUMA Architectures
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.