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Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

Liam Cooper, Shinnung Jeong, Hyeran Jeon, Jeffrey Young, Hyesoon Kim

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Tags: Computer science, CUDA, Hardware Architecture, LLM, nVidia, nVidia A100, nVidia H100, nVidia L40s, Package

September 28, 2026 by hgpu

Xtrace: High-Fidelity GPU Intra-Kernel Tracing via Binary-Level Instruction Splicing

Zhuobin Huang, Kai Zhang, Weihao Cui, Hongshi Tan, Liang Luo, Christopher Dewan, Shen Li, Bingsheng He

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Tags: AMD Radeon Instinct MI300X, ATI, Computer science, LLM, nVidia, nVidia B300, nVidia H100, Performance

September 28, 2026 by hgpu

Microarchitectural Memory Bandwidth Saturation, KV-Cache Paging Dynamics, and Time-to-First-Token Latency: A Comparative Benchmark of vLLM, TensorRT-LLM, and FlashAttention-3 on NVIDIA Hopper H100 versus AMD Instinct MI300X

Kartik Kothalkar

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Tags: AMD Radeon Instinct MI300X, ATI, Benchmarking, Computer science, CUDA, LLM, nVidia, nVidia H100, Performance, ROCm

September 28, 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

Accelerating the Solving of Many Tiny General Linear Systems on GPUs: Application to Constitutive Laws

Tristan Chenaille, Francesca Cuteri, Raphaël Prat, Guillaume Latu, Thomas Helfer

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Tags: Computer science, CUDA, Factorization, Linear Algebra, nVidia, nVidia H100

September 20, 2026 by hgpu

Stencil Computation at the Intersection of AI and HPC

Timothee Ewart, Mauricio Araya-Polo

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Tags: AI, AMD, AMD Radeon Instinct MI325X, Computer science, HPC, Intel Arc B580, Intel B70, Intel Data Center GPU Max 1550, nVidia, nVidia A100, nVidia H100, nVidia RTX PRO 6000, performance portability, Stencil computation, SYCL, Triton

September 14, 2026 by hgpu

Taming Bitwise Behavior in GPU Kernels with Tensor Core: Black-Box Reconstruction, Compiler Enforcement, and Static Verification

Ziteng Yang, Nicholas J. Riasanovsky, Warren Deng, Vivek Sarkar

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Tags: Computer science, CUBLAS, CUDA, nVidia, nVidia GB300, nVidia H100, PTX, Triton

September 14, 2026 by hgpu

An HPC Approach to Accelerate Tensor Decompositions

Markus Hellgren, Erna Begovic Kovac, Hans O. Karlsson, Roman Iakymchuk

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Tags: Computer science, CUDA, HPC, nVidia, nVidia H100

August 30, 2026 by hgpu

Concurrency Response of Plain Global Loads on the NVIDIA H100

Somashekar Manjunath, Rahul Ramachandra M

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Tags: Computer science, CUDA, Hardware Architecture, nVidia, nVidia H100, Performance

August 30, 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

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

Tetsuya Hoshino, Masaya Kato, Kazuhisa Tsuboki, Daichi Mukunoki, Takahiro Katagiri, Toshihiro Hanawa

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Tags: AI, Code generation, Computer science, Fortran, MPI, nVidia, nVidia GH200, nVidia H100, OpenACC, OpenMP

August 17, 2026 by hgpu

Enhancing the Performance Analysis of NCCL GPU Collectives

Jurij Cerar

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Tags: Computer science, CUDA, nVidia, nVidia H100, Performance, Tesla T4, Thesis

July 13, 2026 by hgpu

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

pytest-gpu-proof: Enabling Cloud-CPU Continuous Integration for GPU Code with Local GPU Attestation

nvsass-disassembler

Automated Instruction Encoding Synthesis for Modern GPU ISA Compression

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

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

Xtrace: High-Fidelity GPU Intra-Kernel Tracing via Binary-Level Instruction Splicing

Microarchitectural Memory Bandwidth Saturation, KV-Cache Paging Dynamics, and Time-to-First-Token Latency: A Comparative Benchmark of vLLM, TensorRT-LLM, and FlashAttention-3 on NVIDIA Hopper H100 versus AMD Instinct MI300X

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

Accelerating the Solving of Many Tiny General Linear Systems on GPUs: Application to Constitutive Laws

Stencil Computation at the Intersection of AI and HPC

Taming Bitwise Behavior in GPU Kernels with Tensor Core: Black-Box Reconstruction, Compiler Enforcement, and Static Verification

An HPC Approach to Accelerate Tensor Decompositions

Concurrency Response of Plain Global Loads on the NVIDIA H100

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

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

Enhancing the Performance Analysis of NCCL GPU Collectives

Recent source codes

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

nvsass-disassembler

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

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

EinsummableV3 - graph-based computation with tensor operations support

MaxKernel: Intelligent TPU Kernel Engineering Agents

FP4 FlashAttention forward, backward, and TorchTitan reproduction code

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

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