Imagen de Portada

WgPy: GPU-accelerated NumPy-like array library for web browsers

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Hidaka, Masatoshi, Harada, Tatsuya
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

PyRadiomics-cuda: 3D features extraction from medical images for HPC using GPU acceleration
por: Lisowski, Jakub, et al.
Publicado: (2025)

An AD based library for Efficient Hessian and Hessian-Vector Product Computation on GPU
por: Ranjan, Desh, et al.
Publicado: (2024)

Comparative Evaluation of PyTorch, JAX, SciPy, and Neal for Solving QUBO Problems at Scale
por: Yang, Pei-Kun
Publicado: (2025)

PyRQA -- Conducting Recurrence Quantification Analysis on Very Long Time Series Efficiently
por: Rawald, Tobias, et al.
Publicado: (2024)

Combining GPU and CPU for accelerating evolutionary computing workloads
por: Eynaliyev, Rustam, et al.
Publicado: (2025)

Decentralized Learning Made Easy with DecentralizePy
por: Dhasade, Akash, et al.
Publicado: (2023)

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

A Study of Performance Programming of CPU, GPU accelerated Computers and SIMD Architecture
por: Yi, Xinyao
Publicado: (2024)

A GPU accelerated mixed-precision Smoothed Particle Hydrodynamics framework with cell-based relative coordinates
por: Mao, Zirui, et al.
Publicado: (2023)

OMP4Py: a pure Python implementation of OpenMP
por: Piñeiro, César, et al.
Publicado: (2024)

Modalities, a PyTorch-native Framework For Large-scale LLM Training and Research
por: Lübbering, Max, et al.
Publicado: (2026)

The ArborX library: version 2.0
por: Prokopenko, Andrey, et al.
Publicado: (2025)

torch-sla: Differentiable Sparse Linear Algebra with Adjoint Solvers and Sparse Tensor Parallelism for PyTorch
por: Chi, Mingyuan, et al.
Publicado: (2026)

Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration
por: Wang, Tianyu, et al.
Publicado: (2024)

Accelerating Biclique Counting on GPU
por: Qiu, Linshan, et al.
Publicado: (2024)

GPU Sharing with Triples Mode
por: Byun, Chansup, et al.
Publicado: (2024)

ParvaGPU: Efficient Spatial GPU Sharing for Large-Scale DNN Inference in Cloud Environments
por: Lee, Munkyu, et al.
Publicado: (2024)

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

Predictable LLM Serving on GPU Clusters
por: Darzi, Erfan, et al.
Publicado: (2025)

DuaLip-GPU Technical Report
por: Dexter, Gregory, et al.
Publicado: (2026)

Incidence Constraints in Hypergraph Partitioning on GPU
por: Ronzani, Marco, et al.
Publicado: (2026)

GPU Accelerated Sparse Cholesky Factorization
por: Karsavuran, M. Ozan, et al.
Publicado: (2024)

Heat: Satellite's meat is GPU's poison
por: Yuan, Zhehu, et al.
Publicado: (2024)

HAS-GPU: Efficient Hybrid Auto-scaling with Fine-grained GPU Allocation for SLO-aware Serverless Inferences
por: Gu, Jianfeng, et al.
Publicado: (2025)

Unlocking massively parallel spectral proper orthogonal decompositions in the PySPOD package
por: Rogowski, Marcin, et al.
Publicado: (2023)

Optimizing Bloom Filters for Modern GPU Architectures
por: Jünger, Daniel, et al.
Publicado: (2025)

CRIUgpu: Transparent Checkpointing of GPU-Accelerated Workloads
por: Stoyanov, Radostin, et al.
Publicado: (2025)

Understanding the Landscape of Ampere GPU Memory Errors
por: Zhu, Zhu, et al.
Publicado: (2025)

Methodology for GPU Frequency Switching Latency Measurement
por: Velicka, Daniel, et al.
Publicado: (2025)

Adaptive Multidimensional Quadrature on Multi-GPU Systems
por: Tonarelli, Melanie, et al.
Publicado: (2025)

GPU-Accelerated Batch-Dynamic Subgraph Matching
por: Qiu, Linshan, et al.
Publicado: (2024)

A Multi-Objective Framework for Optimizing GPU-Enabled VM Placement in Cloud Data Centers with Multi-Instance GPU Technology
por: Siavashi, Ahmad, et al.
Publicado: (2025)

Breaking the Memory Wall: A Study of I/O Patterns and GPU Memory Utilization for Hybrid CPU-GPU Offloaded Optimizers
por: Maurya, Avinash, et al.
Publicado: (2024)

Accelerating Sparse MTTKRP for Small Tensor Decomposition on GPU
por: Wijeratne, Sasindu, et al.
Publicado: (2025)

AGILE: Lightweight and Efficient Asynchronous GPU-SSD Integration
por: Yang, Zhuoping, et al.
Publicado: (2025)

GPZ: GPU-Accelerated Lossy Compressor for Particle Data
por: Li, Ruoyu, et al.
Publicado: (2025)

Agora: Bridging the GPU Cloud Resource-Price Disconnect
por: McDougall, Ian, et al.
Publicado: (2025)

Byzantine-Tolerant Consensus in GPU-Inspired Shared Memory
por: Georgiou, Chryssis, et al.
Publicado: (2025)

Understanding GPU Resource Interference One Level Deeper
por: Elvinger, Paul, et al.
Publicado: (2025)

Understanding GPU Triggering APIs for MPI+X Communication
por: Bridges, Patrick G., et al.
Publicado: (2024)