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Automated Instruction Encoding Synthesis for Modern GPU ISA Compression

Mingyuan Ma, Hu He

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Tags: Computer science, CUDA, Hardware Architecture, nVidia, Package, Programming Languages

September 20, 2026 by hgpu

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

Omkar Shewale, Deepak Kumar, Divakar Kumar Yadav

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Tags: Computer science, CUDA, LLM, nVidia, nVidia H100, Package, Performance

September 20, 2026 by hgpu

Hardware-Aware FP4 FlashAttention-4

Robert Hu

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Tags: Computer science, CUDA, nVidia, nVidia B300, nVidia GB200, Package, PTX

September 14, 2026 by hgpu

Every Kernel Is a Join: Automatic Multi-GPU Parallelism for AI Computations in Einsummable

Zhimin Ding, Chen-Kuan Liao, Chima Adiole, Brianna Barrow, Fangzhou Du, Yu Hsiao, Ge Huang, Yicheng Jin, Ismail Syed, Chris Jermaine

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Tags: AI, Computer science, CUDA, LLM, nVidia, nVidia DGX-A100, Package, Triton

September 14, 2026 by hgpu

MaxKernel: Agentic Kernel Generation for TPUs

Shangkun Wang, Nina Cai, Charles Hoong, Julian Walker, Gerson Kroiz, George Vanica, Deepak Patil, Andi Gavrilescu, Hassan Sipra, Sethu Sankaran

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Tags: Computer science, Package, TPU

September 14, 2026 by hgpu

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

Genghan Zhang, Yixin Dong, Chengze Fan, Zhichen Zeng, Yueming Yuan, Shaowei Zhu, Kunle Olukotun

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Tags: Benchmarking, Computer science, LLM, nVidia, nVidia B200, nVidia H100, Package, PTX

August 30, 2026 by hgpu

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

Jinjun Huang, Zhongzhen Wen, Tongtong Xu, Meng Yan, Xin Xia, Zhongxin Liu

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Tags: Benchmarking, Computer science, CUDA, LLM, nVidia, nVidia GeForce RTX 3090, Package, Triton

August 30, 2026 by hgpu

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

Matt J. Borowski, Blazej Osinski

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Tags: Computer science, nVidia, nVidia L4, Package, PTX

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

Harness Engineering for LLM-Driven GPU Kernel Generation

Yue Shui, Chenyu Ma, Hangfei Xu, Shengzhao Wen, Yanpeng Wang

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Tags: Computer science, CUDA, LLM, nVidia, nVidia B200, Package, Triton

August 4, 2026 by hgpu

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

Dongjie Chen, Ping Zhao, Bohua Zhan, Yulong Wang, Shushu Chen, Liangjun Feng, Hao Zhou, Min Shen, Linmu Wang, Weijia Sheng, Xiangyu Wei, Weijie Ding, Jianhui Huang, Yaoqing Gao

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Tags: Artificial intelligence, Computer science, LLM, Package, Triton

August 4, 2026 by hgpu

Qwen3-235B @ 1M tokens on AMD MI355X

CHUNDER: Enabling Million-Token Qwen3 Serving on AMD ROCm

CUDA++ for the NVIDIA DGX Spark

Reverse Engineering the CUDA Software Stack: A Clean-Room GPU Machine-Code Toolchain for the NVIDIA GB10

ATTUNE: Agentic Throughput Tuning for LLM Training

ATTUNE: Agentic Throughput Tuning for LLM Training

HPCAgent-Bench: A Framework for Sound Benchmarking of Code-Optimizing Agents, Harnesses, and Skills

HPCAgent-Bench: A Framework for Sound Benchmarking of Code-Optimizing Agents, Harnesses, and Skills

Brian2 Atlas

A Unified Intermediate Representation and Execution Architecture for Heterogeneous and Distributed Neural Simulation

AgentGarten: Code Worlds for Evolving Agents

AgentGarten: Code Worlds for Evolving Agents

KernelLens: Automated Triton-to-C++ Compiler for Enterprise Inference Runtimes

KernelLens: Deploying Triton Kernels to C++ Inference Engines

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

Introduction to Computer Vision

Introduction to Computer Vision

ACT: Accelerator Compiler Toolkit

Automatically Generating ML Compiler Backends from Tensor Accelerator ISA Descriptions

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