Guardado en:
| Autores principales: | Spoczynski, Marcin, Fleischer, Daniel, Berchansky, Moshe, Stan, Gabriela Ben-Melech, Guskin, Shira, Xu, Weilin, Siemieniuk, Adam, Heinecke, Alexander |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2605.26118 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Intel(R) SHMEM: GPU-initiated OpenSHMEM using SYCL
por: Brooks, Alex, et al.
Publicado: (2024)
por: Brooks, Alex, et al.
Publicado: (2024)
Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators
por: Fridman, Yehonatan, et al.
Publicado: (2024)
por: Fridman, Yehonatan, et al.
Publicado: (2024)
A Framework for Fine-Grained Synchronization of Dependent GPU Kernels
por: Jangda, Abhinav, et al.
Publicado: (2023)
por: Jangda, Abhinav, et al.
Publicado: (2023)
ACC Saturator: Automatic Kernel Optimization for Directive-Based GPU Code
por: Matsumura, Kazuaki, et al.
Publicado: (2023)
por: Matsumura, Kazuaki, et al.
Publicado: (2023)
Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs
por: Tramm, John, et al.
Publicado: (2024)
por: Tramm, John, et al.
Publicado: (2024)
The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries
por: Amoros, Oscar, et al.
Publicado: (2025)
por: Amoros, Oscar, et al.
Publicado: (2025)
Towards a high-performance AI compiler with upstream MLIR
por: Golin, Renato, et al.
Publicado: (2024)
por: Golin, Renato, et al.
Publicado: (2024)
KEET: Explaining Performance of GPU Kernels Using LLM Agents
por: Davis, Joshua H., et al.
Publicado: (2026)
por: Davis, Joshua H., et al.
Publicado: (2026)
Profiling and optimization of multi-card GPU machine learning jobs
por: Lawenda, Marcin, et al.
Publicado: (2025)
por: Lawenda, Marcin, et al.
Publicado: (2025)
Efficient allocation of image recognition and LLM tasks on multi-GPU system
por: Lawenda, Marcin, et al.
Publicado: (2025)
por: Lawenda, Marcin, et al.
Publicado: (2025)
Syncopate: Efficient Multi-GPU AI Kernels via Automatic Chunk-Centric Compute-Communication Overlap
por: Qiang, Xinwei, et al.
Publicado: (2026)
por: Qiang, Xinwei, et al.
Publicado: (2026)
On the Partitioning of GPU Power among Multi-Instances
por: Vamja, Tirth, et al.
Publicado: (2025)
por: Vamja, Tirth, et al.
Publicado: (2025)
Supporting Intel(r) SGX on Multi-Package Platforms
por: Johnson, Simon, et al.
Publicado: (2025)
por: Johnson, Simon, et al.
Publicado: (2025)
Distributed Speculative Inference (DSI): Speculation Parallelism for Provably Faster Lossless Language Model Inference
por: Timor, Nadav, et al.
Publicado: (2024)
por: Timor, Nadav, et al.
Publicado: (2024)
Coordinating GPU Data Centers and Power Grid Regulation Service for Exogenous Carbon Benefits
por: Jahanshahi, Ali, et al.
Publicado: (2026)
por: Jahanshahi, Ali, et al.
Publicado: (2026)
KernelFoundry: Hardware-aware evolutionary GPU kernel optimization
por: Wiedemann, Nina, et al.
Publicado: (2026)
por: Wiedemann, Nina, et al.
Publicado: (2026)
Evaluation of Intel Max GPUs for CGYRO-based fusion simulations
por: Sfiligoi, Igor, et al.
Publicado: (2024)
por: Sfiligoi, Igor, et al.
Publicado: (2024)
FACT: Compositional Kernel Synthesis with a Three-Stage Agentic Workflow
por: Heidari, Sina, et al.
Publicado: (2026)
por: Heidari, Sina, et al.
Publicado: (2026)
Characterizing Compute-Communication Overlap in GPU-Accelerated Distributed Deep Learning: Performance and Power Implications
por: Lee, Seonho, et al.
Publicado: (2025)
por: Lee, Seonho, et al.
Publicado: (2025)
CloverLeaf on Intel Multi-Core CPUs: A Case Study in Write-Allocate Evasion
por: Laukemann, Jan, et al.
Publicado: (2023)
por: Laukemann, Jan, et al.
Publicado: (2023)
Harnessing Deep Learning and HPC Kernels via High-Level Loop and Tensor Abstractions on CPU Architectures
por: Georganas, Evangelos, et al.
Publicado: (2023)
por: Georganas, Evangelos, et al.
Publicado: (2023)
A Practical Two-Stage Framework for GPU Resource and Power Prediction in Heterogeneous HPC Systems
por: Oztop, Beste, et al.
Publicado: (2026)
por: Oztop, Beste, et al.
Publicado: (2026)
ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels
por: Sul, Stuart H., et al.
Publicado: (2025)
por: Sul, Stuart H., et al.
Publicado: (2025)
SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization
por: Tschand, Arya, et al.
Publicado: (2025)
por: Tschand, Arya, et al.
Publicado: (2025)
Junctiond: Extending FaaS Runtimes with Kernel-Bypass
por: Saurez, Enrique, et al.
Publicado: (2024)
por: Saurez, Enrique, et al.
Publicado: (2024)
QiMeng-Kernel: Macro-Thinking Micro-Coding Paradigm for LLM-Based High-Performance GPU Kernel Generation
por: Zhu, Xinguo, et al.
Publicado: (2025)
por: Zhu, Xinguo, et al.
Publicado: (2025)
Orchestrated Co-scheduling, Resource Partitioning, and Power Capping on CPU-GPU Heterogeneous Systems via Machine Learning
por: Saba, Issa, et al.
Publicado: (2024)
por: Saba, Issa, et al.
Publicado: (2024)
Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration
por: Wang, Tianyu, et al.
Publicado: (2024)
por: Wang, Tianyu, et al.
Publicado: (2024)
Minos: Systematically Classifying Performance and Power Characteristics of GPU Workloads on HPC Clusters
por: Jain, Rutwik, et al.
Publicado: (2026)
por: Jain, Rutwik, et al.
Publicado: (2026)
Unleashing the Power of Preemptive Priority-based Scheduling for Real-Time GPU Tasks
por: Wang, Yidi, et al.
Publicado: (2024)
por: Wang, Yidi, et al.
Publicado: (2024)
Cache Blocking of Distributed-Memory Parallel Matrix Power Kernels
por: Lacey, Dane C., et al.
Publicado: (2024)
por: Lacey, Dane C., et al.
Publicado: (2024)
Space Filling Curves is All You Need: Communication-Avoiding Matrix Multiplication Made Simple
por: Georganas, Evangelos, et al.
Publicado: (2026)
por: Georganas, Evangelos, et al.
Publicado: (2026)
Accelerating Biclique Counting on GPU
por: Qiu, Linshan, et al.
Publicado: (2024)
por: Qiu, Linshan, et al.
Publicado: (2024)
GPU Sharing with Triples Mode
por: Byun, Chansup, et al.
Publicado: (2024)
por: Byun, Chansup, et al.
Publicado: (2024)
Fine-Grained Power and Energy Attribution on AMD GPU/APU-Based Exascale Nodes
por: McDaniel, Adam, et al.
Publicado: (2026)
por: McDaniel, Adam, et al.
Publicado: (2026)
ParvaGPU: Efficient Spatial GPU Sharing for Large-Scale DNN Inference in Cloud Environments
por: Lee, Munkyu, et al.
Publicado: (2024)
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)
por: Sojoodi, Amirhossein, et al.
Publicado: (2026)
Performant Unified GPU Kernels for Portable Singular Value Computation Across Hardware and Precision
por: Ringoot, Evelyne, et al.
Publicado: (2025)
por: Ringoot, Evelyne, et al.
Publicado: (2025)
FIKIT: Priority-Based Real-time GPU Multi-tasking Scheduling with Kernel Identification
por: Wu, Wenqing
Publicado: (2023)
por: Wu, Wenqing
Publicado: (2023)
Integrating Performance Tools in Model Reasoning for GPU Kernel Optimization
por: Nichols, Daniel, et al.
Publicado: (2025)
por: Nichols, Daniel, et al.
Publicado: (2025)
Ejemplares similares
-
Intel(R) SHMEM: GPU-initiated OpenSHMEM using SYCL
por: Brooks, Alex, et al.
Publicado: (2024) -
Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators
por: Fridman, Yehonatan, et al.
Publicado: (2024) -
A Framework for Fine-Grained Synchronization of Dependent GPU Kernels
por: Jangda, Abhinav, et al.
Publicado: (2023) -
ACC Saturator: Automatic Kernel Optimization for Directive-Based GPU Code
por: Matsumura, Kazuaki, et al.
Publicado: (2023) -
Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs
por: Tramm, John, et al.
Publicado: (2024)