Cover Image

LLM & HPC:Benchmarking DeepSeek's Performance in High-Performance Computing Tasks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nader, Noujoud, Diehl, Patrick, Brandt, Steve, Kaiser, Hartmut
Format:	Preprint
Published:	2025
Subjects:	Distributed, Parallel, and Cluster Computing Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LLM-HPC++: Evaluating LLM-Generated Modern C++ and MPI+OpenMP Codes for Scalable Mandelbrot Set Computation
by: Diehl, Patrick, et al.
Published: (2025)

Preparing for HPC on RISC-V: Examining Vectorization and Distributed Performance of an Astrophyiscs Application with HPX and Kokkos
by: Diehl, Patrick, et al.
Published: (2024)

LLM as HPC Expert: Extending RAG Architecture for HPC Data
by: Miyashita, Yusuke, et al.
Published: (2024)

Benchmarking the Parallel 1D Heat Equation Solver in Chapel, Charm++, C++, HPX, Go, Julia, Python, Rust, Swift, and Java
by: Diehl, Patrick, et al.
Published: (2023)

A New Execution Model and Executor for Adaptively Optimizing the Performance of Parallel Algorithms Using HPX Runtime System
by: Mohammadiporshokooh, Karame, et al.
Published: (2025)

Harnessing Deep Learning and HPC Kernels via High-Level Loop and Tensor Abstractions on CPU Architectures
by: Georganas, Evangelos, et al.
Published: (2023)

Closing a Source Complexity Gap between Chapel and HPX
by: Atre, Shreyas, et al.
Published: (2025)

Benchmarking Federated Learning in Edge Computing Environments: A Systematic Review and Performance Evaluation
by: Aribe Jr., Sales, et al.
Published: (2026)

Evaluating the Efficacy of LLM-Based Reasoning for Multiobjective HPC Job Scheduling
by: Jadhav, Prachi, et al.
Published: (2025)

What Artificial Intelligence can do for High-Performance Computing systems?
by: Pochelu, Pierrick, et al.
Published: (2026)

KVComp: A High-Performance, LLM-Aware, Lossy Compression Framework for KV Cache
by: Jiang, Bo, et al.
Published: (2025)

DWDP: Distributed Weight Data Parallelism for High-Performance LLM Inference on NVL72
by: Li, Wanqian, et al.
Published: (2026)

Confidential Computing on NVIDIA Hopper GPUs: A Performance Benchmark Study
by: Zhu, Jianwei, et al.
Published: (2024)

HPX with Spack and Singularity Containers: Evaluating Overheads for HPX/Kokkos using an astrophysics application
by: Diehl, Patrick, et al.
Published: (2024)

Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures
by: Zhao, Chenggang, et al.
Published: (2025)

Survey of HPC in US Research Institutions
by: Shu, Peng, et al.
Published: (2025)

Fire-Flyer AI-HPC: A Cost-Effective Software-Hardware Co-Design for Deep Learning
by: An, Wei, et al.
Published: (2024)

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration
by: Lv, Jiaqi, et al.
Published: (2025)

HPX -- An open source C++ Standard Library for Parallelism and Concurrency
by: Heller, Thomas, et al.
Published: (2023)

Viability and Performance of a Private LLM Server for SMBs: A Benchmark Analysis of Qwen3-30B on Consumer-Grade Hardware
by: Khalil, Alex, et al.
Published: (2025)

Decentralized Distributed Proximal Policy Optimization (DD-PPO) for High Performance Computing Scheduling on Multi-User Systems
by: Sgambati, Matthew, et al.
Published: (2025)

FinGPT-HPC: Efficient Pretraining and Finetuning Large Language Models for Financial Applications with High-Performance Computing
by: Liu, Xiao-Yang, et al.
Published: (2024)

Percepta: High Performance Stream Processing at the Edge
by: Sousa, Clarisse, et al.
Published: (2025)

AI Factories: It's time to rethink the Cloud-HPC divide
by: Lopez, Pedro Garcia, et al.
Published: (2025)

Lumos: Efficient Performance Modeling and Estimation for Large-scale LLM Training
by: Liang, Mingyu, et al.
Published: (2025)

Computational Performance and Energy Efficiency of ARM based HPC servers
by: Schirmer, Oskar
Published: (2024)

A Performance Analysis of Task Scheduling for UQ Workflows on HPC Systems
by: Loi, Chung Ming, et al.
Published: (2025)

HPC-Coder: Modeling Parallel Programs using Large Language Models
by: Nichols, Daniel, et al.
Published: (2023)

Chat AI: A Seamless Slurm-Native Solution for HPC-Based Services
by: Doosthosseini, Ali, et al.
Published: (2024)

Scalable Runtime Architecture for Data-driven, Hybrid HPC and ML Workflow Applications
by: Merzky, Andre, et al.
Published: (2025)

Running Cloud-native Workloads on HPC with High-Performance Kubernetes
by: Chazapis, Antony, et al.
Published: (2024)

AI Benchmarks and Datasets for LLM Evaluation
by: Ivanov, Todor, et al.
Published: (2024)

ESS: An Offload-Centric Latent-Cache Management Architecture for DeepSeek-V3.2-Exp
by: Chen, Xinhang, et al.
Published: (2025)

High-Dimensional Data Processing: Benchmarking Machine Learning and Deep Learning Architectures in Local and Distributed Environments
by: Rodriguez, Julian, et al.
Published: (2025)

Exploring Performance-Productivity Trade-offs in AMT Runtimes: A Task Bench Study of Itoyori, ItoyoriFBC, HPX, and MPI
by: Lahnor, Torben R., et al.
Published: (2026)

ClusterRCA: An End-to-End Approach for Network Fault Localization and Classification for HPC System
by: Sun, Yongqian, et al.
Published: (2025)

Block size estimation for data partitioning in HPC applications using machine learning techniques
by: Cantini, Riccardo, et al.
Published: (2022)

Scale-up Unlearnable Examples Learning with High-Performance Computing
by: Zhu, Yanfan, et al.
Published: (2025)

High-Performance Parallel Optimization of the Fish School Behaviour on the Setonix Platform Using OpenMP
by: Wang, Haitian, et al.
Published: (2025)

Efficient Fine-Grained GPU Performance Modeling for Distributed Deep Learning of LLM
by: Zhang, Biyao, et al.
Published: (2025)