high performance computing on graphics processing units: hgpu.org

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

Spec Sheets Are Not Kernels: An ISA- and Source-Level Audit of INT8 Availability on NVIDIA Blackwell Ultra

Teng-Ruei Chen

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Tags: Computer science, nVidia, nVidia B300, PTX, Triton

August 17, 2026 by hgpu

FlashPDE: A Drop-In Fused Triton Operator Library for Neural PDE Solvers

Peiyu Zang, Bosen Xie, Ruoxiang Xu, Yongqiang Cai

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Tags: Computer science, CUDA, Machine learning, Neural networks, nVidia, Package, Partial differential equations, PDEs, Physics, Triton

August 4, 2026 by hgpu

PortLBM: A Portable Lattice Boltzmann Tool Leveraging SYCL on AMD, NVIDIA, and Intel GPUs

Alexander Strack, Marcel Graf, Alexander Van Craen, Dirk Pflüger

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Tags: AMD, AMD Radeon Instinct MI210, Computer science, Heterogeneous systems, Intel, Lattice Boltzmann model, nVidia, nVidia A30, Package, performance portability, SYCL, Visualization

August 4, 2026 by hgpu

PTXBench: an open-source environment for kernel agents with architecture-specific CUDA/PTX

PTXBench: Benchmark and Adapt LLMs for GPU Kernel Optimization with Architecture-specific PTX

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

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

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high performance computing on graphics processing units: hgpu.org

Applications

An HPC Approach to Accelerate Tensor Decompositions

Concurrency Response of Plain Global Loads on the NVIDIA H100

Benchmarking Confidential Computing Performance on NVIDIA Blackwell GPUs

PTXBench: Benchmark and Adapt LLMs for GPU Kernel Optimization with Architecture-specific PTX

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

A Contract-Grade Verifier for LLM-Generated GPU Kernels, and a Native Blackwell Backward for the Gated-Linear-Recurrence Family

Hand-Written PTX Tensor-Core GEMM Kernels: A Multi-Precision Study on NVIDIA L4

Validation-Centric AI-Assisted GPU Porting of a 250,000+ Line Legacy Weather Simulation Code

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

Spec Sheets Are Not Kernels: An ISA- and Source-Level Audit of INT8 Availability on NVIDIA Blackwell Ultra

FlashPDE: A Drop-In Fused Triton Operator Library for Neural PDE Solvers

PortLBM: A Portable Lattice Boltzmann Tool Leveraging SYCL on AMD, NVIDIA, and Intel GPUs

Recent source codes

PTXBench: an open-source environment for kernel agents with architecture-specific CUDA/PTX

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

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

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