Imagen de Portada

Boosting Performance of Iterative Applications on GPUs: Kernel Batching with CUDA Graphs

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ekelund, Jonah, Markidis, Stefano, Peng, Ivy
Formato:	Preprint
Publicado:	2025
Materias:	Distributed, Parallel, and Cluster Computing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Harnessing CUDA-Q's MPS for Tensor Network Simulations of Large-Scale Quantum Circuits
por: Schieffer, Gabin, et al.
Publicado: (2025)

QPU Micro-Kernels for Stencil Computation
por: Markidis, Stefano, et al.
Publicado: (2025)

Leveraging HPC Profiling & Tracing Tools to Understand the Performance of Particle-in-Cell Monte Carlo Simulations
por: Williams, Jeremy J., et al.
Publicado: (2023)

Understanding Data Movement in AMD Multi-GPU Systems with Infinity Fabric
por: Schieffer, Gabin, et al.
Publicado: (2024)

Portable High-Performance Kernel Generation for a Computational Fluid Dynamics Code with DaCe
por: Andersson, Måns I., et al.
Publicado: (2025)

Characterizing the Performance of the Implicit Massively Parallel Particle-in-Cell iPIC3D Code
por: Williams, Jeremy J., et al.
Publicado: (2024)

Enabling AI Deep Potentials for Ab Initio-quality Molecular Dynamics Simulations in GROMACS
por: Hu, Andong, et al.
Publicado: (2026)

What is Quantum Parallelism, Anyhow?
por: Markidis, Stefano
Publicado: (2024)

Krylov Solvers for Interior Point Methods with Applications in Radiation Therapy and Support Vector Machines
por: Liu, Felix, et al.
Publicado: (2023)

High-Performance Parallelization of Dijkstra's Algorithm Using MPI and CUDA
por: Song, Boyang
Publicado: (2025)

Making Room for AI: Multi-GPU Molecular Dynamics with Deep Potentials in GROMACS
por: Pennati, Luca, et al.
Publicado: (2026)

ARM SVE Unleashed: Performance and Insights Across HPC Applications on Nvidia Grace
por: Shi, Ruimin, et al.
Publicado: (2025)

Parallel DNA Sequence Alignment on High-Performance Systems with CUDA and MPI
por: Zwaka, Linus
Publicado: (2024)

CUDA Kernel Optimization and Counter-Free Performance Analysis for Depthwise Convolution in Cloud Environments
por: Babak, Huriyeh, et al.
Publicado: (2026)

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra
por: Bellavita, Julian, et al.
Publicado: (2025)

FlashSketch: Sketch-Kernel Co-Design for Fast Sparse Sketching on GPUs
por: Dwaraknath, Rajat Vadiraj, et al.
Publicado: (2026)

OpenCUBE: Building an Open Source Cloud Blueprint with EPI Systems
por: Peng, Ivy, et al.
Publicado: (2024)

Accelerating Drug Discovery in AutoDock-GPU with Tensor Cores
por: Schieffer, Gabin, et al.
Publicado: (2024)

Combining Performance and Productivity: Accelerating the Network Sensing Graph Challenge with GPUs and Commodity Data Science Software
por: Samsi, Siddharth, et al.
Publicado: (2025)

Accelerating Intra-Node GPU-to-GPU Communication Through Multi-Path Transfers with CUDA Graphs
por: Sojoodi, Amirhossein, et al.
Publicado: (2026)

RSH-SpMM: A Row-Structured Hybrid Kernel for Sparse Matrix-Matrix Multiplication on GPUs
por: Li, Aiying, et al.
Publicado: (2026)

Disaggregated Memory with SmartNIC Offloading: a Case Study on Graph Processing
por: Wahlgren, Jacob, et al.
Publicado: (2024)

Parallel Gaussian process with kernel approximation in CUDA
por: Carminati, Davide
Publicado: (2024)

Analytical Performance Estimation during Code Generation on Modern GPUs
por: Ernst, Dominik, et al.
Publicado: (2022)

Closer in the Gap: Towards Portable Performance on RISC-V Vector Processors
por: Shi, Ruimin, et al.
Publicado: (2026)

Mass Matrix Assembly on Tensor Cores for Implicit Particle-In-Cell Methods
por: Pennati, Luca, et al.
Publicado: (2026)

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs
por: Tramm, John, et al.
Publicado: (2024)

BOA Constrictor: Squeezing Performance out of GPUs in the Cloud via Budget-Optimal Allocation
por: Li, Zhouzi, et al.
Publicado: (2026)

Tessera: Unlocking Heterogeneous GPUs through Kernel-Granularity Disaggregation
por: Hu, Tiancheng, et al.
Publicado: (2026)

Communication-Avoiding Linear Algebraic Kernel K-Means on GPUs
por: Bellavita, Julian, et al.
Publicado: (2026)

Tangram: High-resolution Video Analytics on Serverless Platform with SLO-aware Batching
por: Peng, Haosong, et al.
Publicado: (2024)

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with SW Sequence Alignment
por: Costanzo, Manuel, et al.
Publicado: (2024)

TurboFFT: Co-Designed High-Performance and Fault-Tolerant Fast Fourier Transform on GPUs
por: Wu, Shixun, et al.
Publicado: (2024)

A Parallel and Highly-Portable HPC Poisson Solver: Preconditioned Bi-CGSTAB with alpaka
por: Pennati, Luca, et al.
Publicado: (2025)

An Adaptive Distributed Stencil Abstraction for GPUs
por: Bhosale, Aditya, et al.
Publicado: (2025)

Accelerating Maximal Biclique Enumeration on GPUs
por: Hsieh, Chou-Ying, et al.
Publicado: (2024)

Parallelizing Maximal Clique Enumeration on GPUs
por: Almasri, Mohammad, et al.
Publicado: (2022)

Optimizing sDTW for AMD GPUs
por: Latta-Lin, Daniel, et al.
Publicado: (2024)

Understanding Layered Portability from HPC to Cloud in Containerized Environments
por: Medeiros, Daniel, et al.
Publicado: (2024)

A GPU-accelerated Molecular Docking Workflow with Kubernetes and Apache Airflow
por: Medeiros, Daniel, et al.
Publicado: (2024)