Image de couverture de livre

A Hybrid Direct-Iterative Method for Solving KKT Linear Systems

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Regev, Shaked, Chiang, Nai-Yuan, Darve, Eric, Petra, Cosmin G., Saunders, Michael A., Świrydowicz, Kasia, Peleš, Slaven
Format:	Preprint
Publié:	2021
Sujets:	Optimization and Control Distributed, Parallel, and Cluster Computing 15, 65, 68 G.1
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Iterative Methods in GPU-Resident Linear Solvers for Nonlinear Constrained Optimization
par: Świrydowicz, Kasia, et autres
Publié: (2024)

A Fast Relax-and-Round Approach to Unit Commitment for Data Center Own Generation
par: Regev, Shaked, et autres
Publié: (2025)

Mixed-Precision Performance Portability of FFT-Based GPU-Accelerated Algorithms for Block-Triangular Toeplitz Matrices
par: Venkat, Sreeram, et autres
Publié: (2025)

Multistep schemes for solving backward stochastic differential equations on GPU
par: Kapllani, Lorenc, et autres
Publié: (2019)

Distributed Tomographic Reconstruction with Quantization
par: Miao, Runxuan, et autres
Publié: (2024)

ML-Based Optimum Number of CUDA Streams for the GPU Implementation of the Tridiagonal Partition Method
par: Veneva, Milena, et autres
Publié: (2025)

ML-Based Optimum Sub-system Size Heuristic for the GPU Implementation of the Tridiagonal Partition Method
par: Veneva, Milena
Publié: (2025)

Analysing cycloids using linear algebra
par: Valk, Rüdiger
Publié: (2024)

Faster Vertex Cover Algorithms on GPUs with Component-Aware Parallel Branching
par: Amro, Hussein, et autres
Publié: (2025)

Big Data Intelligence Using Distributed Deep Neural Networks
par: Ongati, Felix, et autres
Publié: (2019)

The Role of A-priori Information in Networks of Rational Agents
par: Afek, Yehuda, et autres
Publié: (2019)

Floating Point Compression of Hierarchical Matrix Formats and its Impact on Matrix-Vector Multiplication
par: Kriemann, Ronald
Publié: (2024)

MaRDIFlow: A CSE workflow framework for abstracting meta-data from FAIR computational experiments
par: Veluvali, Pavan L., et autres
Publié: (2024)

GPU acceleration of non-equilibrium Green's function calculation using OpenACC and CUDA FORTRAN
par: Yin, Jia, et autres
Publié: (2025)

OPTIMUM-DERAM: Highly Consistent, Scalable, and Secure Multi-Object Memory using RLNC
par: Nicolaou, Nicolas, et autres
Publié: (2026)

Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores
par: Zhao, Haisha, et autres
Publié: (2025)

Context Adaptive Cooperation
par: Albouy, Timothé, et autres
Publié: (2023)

AEG: A Baremetal Framework for AI Acceleration via Direct Hardware Access in Heterogeneous Accelerators
par: Jiang, Hua, et autres
Publié: (2026)

MERBIT: A GPU-Based SpMV Method for Iterative Workloads
par: Zhang, Qi, et autres
Publié: (2026)

A Morton-Type Space-Filling Curve for Pyramid Subdivision and Hybrid Adaptive Mesh Refinement
par: Knapp, David, et autres
Publié: (2026)

Exploiting nested task-parallelism in the $\mathcal{H}-LU$ factorization
par: Carratalá-Sáez, Rocío, et autres
Publié: (2019)

(Almost) Perfect Discrete Iterative Load Balancing
par: Berenbrink, Petra, et autres
Publié: (2025)

Cascaded Prediction and Asynchronous Execution of Iterative Algorithms on Heterogeneous Platforms
par: Gao, Jianhua, et autres
Publié: (2024)

Linear Complexity $\mathcal{H}^2$ Direct Solver for Fine-Grained Parallel Architectures
par: Boukaram, Wajih, et autres
Publié: (2025)

Population Protocols Revisited: Parity and Beyond
par: Gąsieniec, Leszek, et autres
Publié: (2025)

Lossy Data Compression By Adaptive Mesh Coarsening
par: Böing, N., et autres
Publié: (2024)

A new Dune grid for scalable dynamic adaptivity based on the p4est software library
par: Burstedde, Carsten, et autres
Publié: (2025)

The High Cost of Keeping Warm: Characterizing Overhead in Serverless Autoscaling Policies
par: Kondrashov, Leonid, et autres
Publié: (2025)

Melding the Serverless Control Plane with the Conventional Cluster Manager for Speed and Resource Efficiency
par: Kondrashov, Leonid, et autres
Publié: (2025)

TPFL: A Trustworthy Personalized Federated Learning Framework via Subjective Logic
par: Chen, Jinqian, et autres
Publié: (2024)

Enhancing Cluster Resilience: LLM-agent Based Autonomous Intelligent Cluster Diagnosis System and Evaluation Framework
par: Shi, Honghao, et autres
Publié: (2024)

Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID Data
par: Ahn, Seyoung, et autres
Publié: (2022)

Method for determining the acceleration of a parallel specialised computer system based on Amdahl's law
par: Filipchenko, Aleksandr S.
Publié: (2024)

Massively Parallel Algorithms for Approximate Shortest Paths
par: Dory, Michal, et autres
Publié: (2024)

On the Bit Complexity of Iterated Memory
par: Toyos-Marfurt, Guillermo, et autres
Publié: (2024)

Precision-Aware Iterative Algorithms Based on Group-Shared Exponents of Floating-Point Numbers
par: Gao, Jianhua, et autres
Publié: (2024)

Modeling and Simulation of Traffic on I-485 via Linear Systems and Iterative Methods
par: Kealoha, Dominic, et autres
Publié: (2024)

RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks
par: Gattiglio, Guglielmo, et autres
Publié: (2024)

SDSL-Solver: Scalable Distributed Sparse Linear Solvers for Large-Scale Interior Point Methods
par: Yang, Shaofeng, et autres
Publié: (2026)

Decentralized Semantic Federated Learning for Real-Time Public Safety Tasks: Challenges, Methods, and Directions
par: Li, Baosheng, et autres
Publié: (2025)