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CAKE: Compiler-Agent Co-Design for Frontier Kernel Evolution

Zihao Ye, Yingyi Huang, Hongyi Jin, Bohan Hou, Junru Shao, Zhongming Yu, Jinqi Chen, Meghan Cowan, Shiyi Cao, Shanli Xing, Hanfeng Chen, Vinod Grover, Tianqi Chen, Luis Ceze

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Tags: Compilers, Computer science, CUDA, nVidia, PTX

August 17, 2026 by hgpu

A Survey of Recent Developments in SYCL Compiler Implementations

Huy Trinh

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Tags: Compilers, Computer science, Heterogeneous systems, SYCL

March 1, 2026 by hgpu

Inside VOLT: Designing an Open-Source GPU Compiler (Tool)

Shinnung Jeong, Chihyo Ahn, Huanzhi Pu, Jisheng Zhao, Hyesoon Kim, Blaise Pascal Tine

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Tags: Compilers, Computer science, CUDA, FPGA, nVidia, OpenCL, Package

February 8, 2026 by hgpu

Scaling GPU-to-CPU Migration for Efficient Distributed Execution on CPU Clusters

Ruobing Han, Hyesoon Kim

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Tags: Compilers, Computer science, CUDA, nVidia, nVidia A100, nVidia V100, Triton

February 8, 2026 by hgpu

The New Compiler Stack: A Survey on the Synergy of LLMs and Compilers

Shuoming Zhang, Jiacheng Zhao, Qiuchu Yu, Chunwei Xia, Zheng Wang, Xiaobing Feng, Huimin Cui

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Tags: Artificial intelligence, Compilers, Computer science, LLM, Programming Languages, Software Engineering

January 12, 2026 by hgpu

Targeted Testing of Compiler Optimizations via Grammar-Level Composition Styles

Zitong Zhou, Ben Limpanukorn, Hong Jin Kang, Jiyuan Wang, Yaoxuan Wu, Akos Kiss, Renata Hodovan, Miryung Kim

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Tags: Compilers, Computer science, LLVM, Optimization

December 7, 2025 by hgpu

Decoupled Triton: A Block-Level Decoupled Language for Writing and Exploring Efficient Machine-Learning Kernels

Quinn Leo Pham

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Tags: Compilers, Computer science, Machine learning, nVidia, nVidia RTX 5000 Ada, PyTorch, Thesis, Triton

December 7, 2025 by hgpu

Inside VOLT: Designing an Open-Source GPU Compiler

Shinnung Jeong, Chihyo Ahn, Huanzhi Pu, Jisheng Zhao, Hyesoon Kim, Blaise Tine

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, OpenCL

November 23, 2025 by hgpu

Characterizing the Performance of Parallel Data-Compression Algorithms across Compilers and GPUs

Brandon Alexander Burtchell, Martin Burtscher

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Tags: Algorithms, Compilers, Compression, Computer science, CUDA, HIP, nVidia, nVidia GeForce GTX Titan V, nVidia GeForce RTX 3080 Ti, nVidia GeForce RTX 4090, Package

November 9, 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

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

September 28, 2025 by hgpu

CrossTL: A Universal Programming Language Translator with Unified Intermediate Representation

Nripesh Niketan, Vaatsalya Shrivastva

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Tags: Compilers, Computer science, CUDA, DirectX, GLSL, HIP, HLSL, nVidia, OpenGL, Package, Programming Languages, Vulkan

September 7, 2025 by hgpu

AnnotationGym: A Generic Framework for Automatic Source Code Annotation

Hafsah Shahzad, Ahmed Sanaullah, Sanjay Arora, Ulrich Drepper, Martin Herbordt

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Tags: Benchmarking, Compilers, Computer science, FPGA, HLS, OpenACC, OpenMP

September 7, 2025 by hgpu

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

Compiler-Grounded Hierarchical Diagnosis for LLM-Based Triton Kernel Optimization

NVIDIA Object Oriented Agents

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents

UniCoder: Unified Visual-to-Code Generation via Symbolic Rewards and Reference-Guided Code Optimization

CuFuzz: An API-Knowledge-Graph Coverage-Driven Fuzzing Framework for CUDA Libraries

AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning

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

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

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high performance computing on graphics processing units: hgpu.org

CAKE: Compiler-Agent Co-Design for Frontier Kernel Evolution

A Survey of Recent Developments in SYCL Compiler Implementations

Inside VOLT: Designing an Open-Source GPU Compiler (Tool)

Scaling GPU-to-CPU Migration for Efficient Distributed Execution on CPU Clusters

The New Compiler Stack: A Survey on the Synergy of LLMs and Compilers

Targeted Testing of Compiler Optimizations via Grammar-Level Composition Styles

Decoupled Triton: A Block-Level Decoupled Language for Writing and Exploring Efficient Machine-Learning Kernels

Inside VOLT: Designing an Open-Source GPU Compiler

Characterizing the Performance of Parallel Data-Compression Algorithms across Compilers and GPUs

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

CrossTL: A Universal Programming Language Translator with Unified Intermediate Representation

AnnotationGym: A Generic Framework for Automatic Source Code Annotation

Recent source codes

TensorCorePTX: PTX Tensor Core GEMM Exploration

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

NVIDIA Object Oriented Agents

UniCoder: Unified Visual-to-Code Generation via Symbolic Rewards and Reference-Guided Code Optimization

CuFuzz: An API-Knowledge-Graph Coverage-Driven Fuzzing Framework for CUDA Libraries

AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning

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

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