high performance computing on graphics processing units: hgpu.org

hgpu.org » Python

Leveraging AI Ecosystem for Portable and Sustainable GPU Kernels in HPC

Yanbo Zhao, Zhaonan Meng, Sai Krishna Teja Varma Manthena, Xu Liu, Ajay Panyala, Jiajia Li

View

Tags: AMD, AMD Radeon Instinct MI300X, Computer science, DSL, HPC, nVidia, nVidia GeForce RTX 4090, nVidia H100, PTX, Python, ROCm, Triton

June 17, 2026 by hgpu

Fearless Concurrency on the GPU

Melih Elibol, Jared Roesch, Isaac Gelado, Eric Buehler, Michael Garland

View

Download (PDF)

Tags: Computer science, CUBLAS, CUDA, nVidia, nVidia B200, nVidia GeForce RTX 5090, Performance, Python, Rust

June 17, 2026 by hgpu

Kerncap: Automated Kernel Extraction and Isolation for AMD GPUs

Cole Ramos, Keith Lowery

View

Download (PDF)

Source codes

Tags: AMD, AMD Radeon Instinct MI210, AMD Radeon Instinct MI300X, AMD Radeon Pro W7900, Computer science, LLM, Package, Python, ROCm, Triton

May 11, 2026 by hgpu

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool)

Bastian Hagedorn, Alexander Collins, Tony Mongkolsmai, Vinod Grover

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, nVidia, nVidia B200, Package, Performance, Profiling, Python, Triton

February 2, 2026 by hgpu

Iris: First-Class Multi-GPU Programming Experience in Triton

Muhammad Awad, Muhammad Osama, Brandon Potter

View

Download (PDF)

Source codes

Tags: AMD Radeon Instinct MI300X, ATI, Benchmarking, Computer science, CUDA, HIP, nVidia, Package, Python, Triton

November 23, 2025 by hgpu

Mojo: MLIR-Based Performance-Portable HPC Science Kernels on GPUs for the Python Ecosystem

William F. Godoy, Tatiana Melnichenko, Pedro Valero-Lara, Wael Elwasif, Philip Fackler, Rafael Ferreira Da Silva, Keita Teranishi, Jeffrey S. Vetter

View

Download (PDF)

Source codes

Tags: AI, AMD Radeon Instinct MI300A, ATI, Compilers, Computer science, CUDA, HIP, HPC, nVidia, nVidia H100, Package, Python, ROCm

September 28, 2025 by hgpu

Dato: A Task-Based Programming Model for Dataflow Accelerators

Shihan Fang, Hongzheng Chen, Niansong Zhang, Jiajie Li, Han Meng, Adrian Liu, Zhiru Zhang

View

Download (PDF)

Source codes

Tags: Computer science, FPGA, nVidia, Package, Programming Languages, Python

September 21, 2025 by hgpu

Home-made Diffusion Model from Scratch to Hatch

Shih-Ying Yeh

View

Download (PDF)

Source codes

Tags: Computer science, Computer vision, nVidia, nVidia GeForce RTX 5090, Package, Python, PyTorch

September 14, 2025 by hgpu

High Performance Matrix Multiplication

Ethan Davis

View

Download (PDF)

Source codes

Tags: BLAS, Computer science, CUBLAS, CUDA, Linear Algebra, Matrix multiplication, nVidia, OpenMP, Package, Performance, Python, Tesla V100

September 14, 2025 by hgpu

Geak: Introducing Triton Kernel AI Agent & Evaluation Benchmarks

Jianghui Wang, Vinay Joshi, Saptarshi Majumder, Xu Chao, Bin Ding, Ziqiong Liu, Pratik Prabhanjan Brahma, Dong Li, Zicheng Liu, Emad Barsoum

View

Download (PDF)

Source codes

Tags: AMD Radeon Instinct MI300X, ATI, Benchmarking, Code generation, Computer science, Deep learning, Package, Python, ROCm, Triton

August 3, 2025 by hgpu

Data-efficient LLM Fine-tuning for Code Generation

Weijie Lv, Xuan Xia, Sheng-Jun Huang

View

Download (PDF)

Source codes

Tags: Code generation, Computer science, CUDA, LLM, nVidia, nVidia A100, Package, Python, PyTorch

April 27, 2025 by hgpu

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

Jiyuan Wang

View

Download (PDF)

Source codes

Tags: Benchmarking, Computer science, FPGA, Heterogeneous systems, oneAPI, Package, Python, Thesis

March 30, 2025 by hgpu

AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CUDA Kernel Fusion Benchmarks

Analyzing the Impact of Kernel Fusion on GPU Tensor Operation Performance: A Systematic Performance Study

IntelliKit: Agent-first tooling for AMD hardware

Kerncap: Automated Kernel Extraction and Isolation for AMD GPUs

DITRON: Distributed Compiler based on Triton for Parallel Systems

DITRON: Distributed Multi-level Tiling Compiler for Parallel Tensor Programs

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

Agentic Code Optimization via Compiler-LLM Cooperation

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Leveraging AI Ecosystem for Portable and Sustainable GPU Kernels in HPC

Fearless Concurrency on the GPU

Kerncap: Automated Kernel Extraction and Isolation for AMD GPUs

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool)

Iris: First-Class Multi-GPU Programming Experience in Triton

Mojo: MLIR-Based Performance-Portable HPC Science Kernels on GPUs for the Python Ecosystem

Dato: A Task-Based Programming Model for Dataflow Accelerators

Home-made Diffusion Model from Scratch to Hatch

High Performance Matrix Multiplication

Geak: Introducing Triton Kernel AI Agent & Evaluation Benchmarks

Data-efficient LLM Fine-tuning for Code Generation

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

Recent source codes

AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning

Probe-and-Refine Tuning of Repository Guidance for AI Coding Agents

CUDAnalyst (CUDA + Analyst)

CodegenBench

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CUDA Kernel Fusion Benchmarks

IntelliKit: Agent-first tooling for AMD hardware

DITRON: Distributed Compiler based on Triton for Parallel Systems

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Agentic Code Optimization via Compiler-LLM Cooperation

Most viewed papers (last 30 days)