Cover Image

A Communication Avoiding and Reducing Algorithm for Symmetric Eigenproblem for Very Small Matrices

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Katagiri, Takahiro, Iwata, Jun'ichi, Uchida, Kazuyuki
Format:	Preprint
Published:	2024
Subjects:	Distributed, Parallel, and Cluster Computing Mathematical Software Performance
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Xabclib:A Fully Auto-tuned Sparse Iterative Solver
by: Katagiri, Takahiro, et al.
Published: (2024)

Beating vDSP: A 138 GFLOPS Radix-8 Stockham FFT on Apple Silicon via Two-Tier Register-Threadgroup Memory Decomposition
by: Bergach, Mohamed Amine
Published: (2026)

Hierarchical Recursive Precision for Accelerating Symmetric Linear Solves on MXUs
by: Carrica, Vicki, et al.
Published: (2026)

Automated MPI-X code generation for scalable finite-difference solvers
by: Bisbas, George, et al.
Published: (2023)

On the energy efficiency of sparse matrix computations on multi-GPU clusters
by: Bernaschi, Massimo, et al.
Published: (2025)

NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data
by: Woller, Fabian, et al.
Published: (2025)

Performance measurements of modern Fortran MPI applications with Score-P
by: Corbin, Gregor
Published: (2025)

Black-Scholes Option Pricing on Intel CPUs and GPUs: Implementation on SYCL and Optimization Techniques
by: Panova, Elena, et al.
Published: (2022)

Accelerating High-Order Finite Element Simulations at Extreme Scale with FP64 Tensor Cores
by: Tu, Jiqun, et al.
Published: (2026)

pyGinkgo: A Sparse Linear Algebra Operator Framework for Python
by: Tuteja, Keshvi, et al.
Published: (2025)

Performant Automatic BLAS Offloading on Unified Memory Architecture with OpenMP First-Touch Style Data Movement
by: Li, Junjie
Published: (2024)

An Auto-tuning Method for Run-time Data Transformation for Sparse Matrix-Vector Multiplication
by: Katagiri, Takahiro, et al.
Published: (2024)

Communication-Avoiding SpGEMM via Trident Partitioning on Hierarchical GPU Interconnects
by: Bellavita, Julian, et al.
Published: (2026)

GoldbachGPU: An Open Source GPU-Accelerated Framework for Verification of Goldbach's Conjecture
by: Llorente-Saguer, Isaac
Published: (2026)

Performance Evaluation of General Purpose Large Language Models for Basic Linear Algebra Subprograms Code Generation
by: Mukunoki, Daichi, et al.
Published: (2025)

Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs
by: Ringoot, Evelyne, et al.
Published: (2025)

Pipelined Dense Symmetric Eigenvalue Decomposition on Multi-GPU Architectures
by: Wang, Hansheng, et al.
Published: (2025)

Learning-Augmented Performance Model for Tensor Product Factorization in High-Order FEM
by: Ren, Xuanzhengbo, et al.
Published: (2026)

Easy Acceleration with Distributed Arrays
by: Kepner, Jeremy, et al.
Published: (2025)

High-level Stream Processing: A Complementary Analysis of Fault Recovery
by: Vogel, Adriano, et al.
Published: (2024)

Where Should I Deploy My Contracts? A Practical Experience Report
by: Lazăr, Cătălina, et al.
Published: (2025)

LibProf: A Python Profiler for Improving Cold Start Performance in Serverless Applications
by: Tariq, Syed Salauddin Mohammad, et al.
Published: (2024)

AI-NativeBench: An Open-Source White-Box Agentic Benchmark Suite for AI-Native Systems
by: Wang, Zirui, et al.
Published: (2026)

Optimizing OpenFaaS on Kubernetes: Comparative Analysis of Language Runtimes and Cluster Distributions
by: Ataie, Ehsan, et al.
Published: (2026)

When Should I Run My Application Benchmark?: Studying Cloud Performance Variability for the Case of Stream Processing Applications
by: Henning, Sören, et al.
Published: (2025)

MPI Implementation Profiling for Better Application Performance
by: Shipley, Riley, et al.
Published: (2024)

Integrating Performance Tools in Model Reasoning for GPU Kernel Optimization
by: Nichols, Daniel, et al.
Published: (2025)

Should I Run My Cloud Benchmark on Black Friday?
by: Henning, Sören, et al.
Published: (2025)

Efficient N-to-M Checkpointing Algorithm for Finite Element Simulations
by: Ham, David A., et al.
Published: (2024)

Staging Blocked Evaluation over Structured Sparse Matrices
by: Das, Pratyush, et al.
Published: (2024)

High-Performance Tensor Contraction without Transposition
by: Matthews, Devin A.
Published: (2016)

Code Generation for Near-Roofline Finite Element Actions on GPUs from Symbolic Variational Forms
by: Kulkarni, Kaushik, et al.
Published: (2025)

A shared compilation stack for distributed-memory parallelism in stencil DSLs
by: Bisbas, George, et al.
Published: (2024)

Robustness and Accuracy in Pipelined Bi-Conjugate Gradient Stabilized Method: A Comparative Study
by: Havdiak, Mykhailo, et al.
Published: (2024)

A new open source framework for multiscale modeling of fibrous materials on heterogeneous supercomputers
by: Merson, Jacob, et al.
Published: (2023)

Reducing Tail Latencies Through Environment- and Neighbour-aware Thread Management
by: Jeffery, Andrew, et al.
Published: (2024)

MultiKernelBench: A Multi-Platform Benchmark for Kernel Generation
by: Wen, Zhongzhen, et al.
Published: (2025)

A Delta-Aware Orchestration Framework for Scalable Multi-Agent Edge Computing
by: Singh, Samaresh Kumar, et al.
Published: (2026)

Evaluating Asynchronous Semantics in Trace-Discovered Resilience Models: A Case Study on the OpenTelemetry Demo
by: Krasnovsky, Anatoly A.
Published: (2025)

Rethinking Performance Analysis for Configurable Software Systems: A Case Study from a Fitness Landscape Perspective
by: Huang, Mingyu, et al.
Published: (2024)