Saved in:
| Main Authors: | Stücker, Jens, Hahn, Oliver, Winkler, Lukas, Adame, Adrian Gutierrez, Flöss, Thomas |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.05885 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Views: a hardware-friendly graph database model for storing semantic information
by: Yang, Yanjun, et al.
Published: (2025)
by: Yang, Yanjun, et al.
Published: (2025)
JAXMg: A multi-GPU linear solver in JAX
by: Wiersema, Roeland
Published: (2026)
by: Wiersema, Roeland
Published: (2026)
Accelerating Intra-Node GPU-to-GPU Communication Through Multi-Path Transfers with CUDA Graphs
by: Sojoodi, Amirhossein, et al.
Published: (2026)
by: Sojoodi, Amirhossein, et al.
Published: (2026)
Parallel-friendly Spatio-Temporal Graph Learning for Photovoltaic Degradation Analysis at Scale
by: Fan, Yangxin, et al.
Published: (2024)
by: Fan, Yangxin, et al.
Published: (2024)
Parallel Gaussian process with kernel approximation in CUDA
by: Carminati, Davide
Published: (2024)
by: Carminati, Davide
Published: (2024)
High-Performance Parallelization of Dijkstra's Algorithm Using MPI and CUDA
by: Song, Boyang
Published: (2025)
by: Song, Boyang
Published: (2025)
DrJAX: Scalable and Differentiable MapReduce Primitives in JAX
by: Rush, Keith, et al.
Published: (2024)
by: Rush, Keith, et al.
Published: (2024)
Debunking the CUDA Myth Towards GPU-based AI Systems
by: Lee, Yunjae, et al.
Published: (2024)
by: Lee, Yunjae, et al.
Published: (2024)
VDCores: Resource Decoupled Programming and Execution for Asynchronous GPU
by: He, Zijian, et al.
Published: (2026)
by: He, Zijian, et al.
Published: (2026)
Parallel DNA Sequence Alignment on High-Performance Systems with CUDA and MPI
by: Zwaka, Linus
Published: (2024)
by: Zwaka, Linus
Published: (2024)
Boosting Performance of Iterative Applications on GPUs: Kernel Batching with CUDA Graphs
by: Ekelund, Jonah, et al.
Published: (2025)
by: Ekelund, Jonah, et al.
Published: (2025)
CRIUgpu: Transparent Checkpointing of GPU-Accelerated Workloads
by: Stoyanov, Radostin, et al.
Published: (2025)
by: Stoyanov, Radostin, et al.
Published: (2025)
Parallel Paradigms in Modern HPC: A Comparative Analysis of MPI, OpenMP, and CUDA
by: ALHafez, Nizar, et al.
Published: (2025)
by: ALHafez, Nizar, et al.
Published: (2025)
GPU acceleration of non-equilibrium Green's function calculation using OpenACC and CUDA FORTRAN
by: Yin, Jia, et al.
Published: (2025)
by: Yin, Jia, et al.
Published: (2025)
Orbax: Distributed Checkpointing with JAX
by: Gaffney, Colin, et al.
Published: (2026)
by: Gaffney, Colin, et al.
Published: (2026)
Lessons Learned Migrating CUDA to SYCL: A HEP Case Study with ROOT RDataFrame
by: Chen, Jolly, et al.
Published: (2024)
by: Chen, Jolly, et al.
Published: (2024)
VUDA: Breaking CUDA-Vulkan Isolation for Spatial Sharing of Compute and Graphics on the Same GPU
by: Xu, Bin, et al.
Published: (2026)
by: Xu, Bin, et al.
Published: (2026)
Tutoring LLM into a Better CUDA Optimizer
by: Brabec, Matyáš, et al.
Published: (2025)
by: Brabec, Matyáš, et al.
Published: (2025)
cuVegas: Accelerate Multidimensional Monte Carlo Integration through a Parallelized CUDA-based Implementation of the VEGAS Enhanced Algorithm
by: Tolotti, Emiliano, et al.
Published: (2024)
by: Tolotti, Emiliano, et al.
Published: (2024)
Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration
by: Wang, Tianyu, et al.
Published: (2024)
by: Wang, Tianyu, et al.
Published: (2024)
Accelerating Biclique Counting on GPU
by: Qiu, Linshan, et al.
Published: (2024)
by: Qiu, Linshan, et al.
Published: (2024)
GPU Sharing with Triples Mode
by: Byun, Chansup, et al.
Published: (2024)
by: Byun, Chansup, et al.
Published: (2024)
ParvaGPU: Efficient Spatial GPU Sharing for Large-Scale DNN Inference in Cloud Environments
by: Lee, Munkyu, et al.
Published: (2024)
by: Lee, Munkyu, et al.
Published: (2024)
Topological Characterization of Consensus in Distributed Systems
by: Nowak, Thomas, et al.
Published: (2019)
by: Nowak, Thomas, et al.
Published: (2019)
cuConv: A CUDA Implementation of Convolution for CNN Inference
by: Jordà, Marc, et al.
Published: (2021)
by: Jordà, Marc, et al.
Published: (2021)
DuaLip-GPU Technical Report
by: Dexter, Gregory, et al.
Published: (2026)
by: Dexter, Gregory, et al.
Published: (2026)
Incidence Constraints in Hypergraph Partitioning on GPU
by: Ronzani, Marco, et al.
Published: (2026)
by: Ronzani, Marco, et al.
Published: (2026)
Predictable LLM Serving on GPU Clusters
by: Darzi, Erfan, et al.
Published: (2025)
by: Darzi, Erfan, et al.
Published: (2025)
GPU Accelerated Sparse Cholesky Factorization
by: Karsavuran, M. Ozan, et al.
Published: (2024)
by: Karsavuran, M. Ozan, et al.
Published: (2024)
Heat: Satellite's meat is GPU's poison
by: Yuan, Zhehu, et al.
Published: (2024)
by: Yuan, Zhehu, et al.
Published: (2024)
HAS-GPU: Efficient Hybrid Auto-scaling with Fine-grained GPU Allocation for SLO-aware Serverless Inferences
by: Gu, Jianfeng, et al.
Published: (2025)
by: Gu, Jianfeng, et al.
Published: (2025)
A Comparison of the Performance of the Molecular Dynamics Simulation Package GROMACS Implemented in the SYCL and CUDA Programming Models
by: Apanasevich, L., et al.
Published: (2024)
by: Apanasevich, L., et al.
Published: (2024)
Optimizing Bloom Filters for Modern GPU Architectures
by: Jünger, Daniel, et al.
Published: (2025)
by: Jünger, Daniel, et al.
Published: (2025)
Understanding the Landscape of Ampere GPU Memory Errors
by: Zhu, Zhu, et al.
Published: (2025)
by: Zhu, Zhu, et al.
Published: (2025)
Methodology for GPU Frequency Switching Latency Measurement
by: Velicka, Daniel, et al.
Published: (2025)
by: Velicka, Daniel, et al.
Published: (2025)
Adaptive Multidimensional Quadrature on Multi-GPU Systems
by: Tonarelli, Melanie, et al.
Published: (2025)
by: Tonarelli, Melanie, et al.
Published: (2025)
GPU-Accelerated Batch-Dynamic Subgraph Matching
by: Qiu, Linshan, et al.
Published: (2024)
by: Qiu, Linshan, et al.
Published: (2024)
A Multi-Objective Framework for Optimizing GPU-Enabled VM Placement in Cloud Data Centers with Multi-Instance GPU Technology
by: Siavashi, Ahmad, et al.
Published: (2025)
by: Siavashi, Ahmad, et al.
Published: (2025)
Breaking the Memory Wall: A Study of I/O Patterns and GPU Memory Utilization for Hybrid CPU-GPU Offloaded Optimizers
by: Maurya, Avinash, et al.
Published: (2024)
by: Maurya, Avinash, et al.
Published: (2024)
CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning
by: Li, Xiaoya, et al.
Published: (2025)
by: Li, Xiaoya, et al.
Published: (2025)
Similar Items
-
Views: a hardware-friendly graph database model for storing semantic information
by: Yang, Yanjun, et al.
Published: (2025) -
JAXMg: A multi-GPU linear solver in JAX
by: Wiersema, Roeland
Published: (2026) -
Accelerating Intra-Node GPU-to-GPU Communication Through Multi-Path Transfers with CUDA Graphs
by: Sojoodi, Amirhossein, et al.
Published: (2026) -
Parallel-friendly Spatio-Temporal Graph Learning for Photovoltaic Degradation Analysis at Scale
by: Fan, Yangxin, et al.
Published: (2024) -
Parallel Gaussian process with kernel approximation in CUDA
by: Carminati, Davide
Published: (2024)