high performance computing on graphics processing units: hgpu.org

hgpu.org » Artificial intelligence

Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling

Wei Da, Evangelia Kalyvianaki

View

Download (PDF)

Source codes

Tags: Artificial intelligence, Computer science, CUDA, LLM, nVidia, nVidia A30, Package, Task scheduling

August 17, 2025 by hgpu

Kevin: Multi-Turn RL for Generating CUDA Kernels

Carlo Baronio, Pietro Marsella, Ben Pan, Simon Guo, Silas Alberti

View

Download (PDF)

Tags: Artificial intelligence, Computer science, CUDA, LLM, Machine learning, nVidia, nVidia H100, nVidia H200, Performance

July 20, 2025 by hgpu

Pre-Training LLMs on a budget: A comparison of three optimizers

Joel Schlotthauer, Christian Kroos, Chris Hinze, Viktor Hangya, Luzian Hahn, Fabian Küch

View

Download (PDF)

Tags: Artificial intelligence, Computer science, CUDA, LLM, Machine learning, nVidia, nVidia A100

July 20, 2025 by hgpu

Omniwise: Predicting GPU Kernels Performance with LLMs

Zixian Wang, Cole Ramos, Muhammad A. Awad, Keith Lowery

View

Download (PDF)

Tags: AMD, AMD Radeon Instinct MI250, AMD Radeon Instinct MI300X, Artificial intelligence, Benchmarking, Computer science, LLM, Neural networks, Performance, ROCm

June 29, 2025 by hgpu

CUDA-LLM: LLMs Can Write Efficient CUDA Kernels

Wentao Chen, Jiace Zhu, Qi Fan, Yehan Ma, An Zou

View

Download (PDF)

Tags: Artificial intelligence, Code generation, Computer sceince, CUDA, LLM, nVidia, nVidia GeForce GTX 1660, nVidia GeForce RTX 3090 Ti

June 15, 2025 by hgpu

MemAscend: System Memory Optimization for SSD-Offloaded LLM Fine-Tuning

Yong-Cheng Liaw, Shuo-Han Chen

View

Download (PDF)

Tags: Artificial intelligence, Benchmarking, Computer science, LLM, Memory, nVidia, nVidia H100, nVidia RTX A5000

June 8, 2025 by hgpu

Exploration of Cryptocurrency Mining-Specific GPUs in AI Applications: A Case Study of CMP 170HX

Xing Kangwei

View

Download (PDF)

Tags: AI, Artificial intelligence, Benchmarking, Computer science, CUDA, Finance, nVidia, nVidia CMP 170HX, OpenCL, Performance

May 18, 2025 by hgpu

Efficient deep learning inference on end devices

Ehsan Aghapour

View

Download (PDF)

Source codes

Tags: Artificial intelligence, Computer science, Deep learning, Heterogeneous systems, OpenCL, Package, Thesis

May 4, 2025 by hgpu

Towards autonomous resource management: Deep learning prediction of CPU-GPU load balancing

Inigo Gabirondo Lopez

View

Download (PDF)

Tags: AMD Radeon HD 7970, Artificial intelligence, ATI, Computer science, Deep learning, Heterogeneous systems, load balancing, nVidia, nVidia GeForce GTX 970, OpenCL

February 10, 2025 by hgpu

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

Huanting Wang, Patrick Lenihan, Zheng Wang

View

Download (PDF)

Source codes

Tags: Artificial intelligence, Computer science, Machine learning, OpenCL, Optimization, Package, Software Engineering

January 6, 2025 by hgpu

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

Avinash Maurya

View

Download (PDF)

Source codes

Tags: AI, Artificial intelligence, Computer science, CUDA, Deep learning, HPC, nVidia, nVidia DGX-A100, Package, Thesis

December 29, 2024 by hgpu

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

* * *

high performance computing on graphics processing units: hgpu.org

Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling

Kevin: Multi-Turn RL for Generating CUDA Kernels

Pre-Training LLMs on a budget: A comparison of three optimizers

Omniwise: Predicting GPU Kernels Performance with LLMs

CUDA-LLM: LLMs Can Write Efficient CUDA Kernels

MemAscend: System Memory Optimization for SSD-Offloaded LLM Fine-Tuning

Exploration of Cryptocurrency Mining-Specific GPUs in AI Applications: A Case Study of CMP 170HX

Efficient deep learning inference on end devices

Towards autonomous resource management: Deep learning prediction of CPU-GPU load balancing

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

Recent source codes

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

TRUST: a thermalhydraulic software package for CFD simulations

Modular: The Modular Platform (includes MAX & Mojo)

Allo: Accelerator Design Language

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

Most viewed papers (last 30 days)