high performance computing on graphics processing units: hgpu.org

Zhu Zhu, Yu Sun, Dhatri Parakal, Bo Fang, Steven Farrell, Gregory H. Bauer, Brett Bode, Ian T. Foster, Michael E. Papka, William Gropp, Zhao Zhang, Lishan Yang

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Tags: Computer science, HPC, Memory, nVidia, nVidia A100, nVidia A40

August 10, 2025 by hgpu

ConTraPh: Contrastive Learning for Parallelization and Performance Optimization

Quazi Ishtiaque Mahmud, Ali TehraniJamsaz, Nesreen K. Ahmed, Theodore L. Willke, Ali Jannesari

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Tags: Code generation, Computer science, Heterogeneous systems, HPC, LLM, nVidia, OpenACC, OpenCL, OpenMP, Tesla V100

August 10, 2025 by hgpu

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

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

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CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

pplx-garden: Perplexity open source garden for inference technology

RDMA Point-to-Point Communication for LLM Systems

LC Framework

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

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high performance computing on graphics processing units: hgpu.org

An MLIR pipeline for offloading Fortran to FPGAs via OpenMP

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

High-Performance Computing: from Optimization to Automation

VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs

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

An HPC Benchmark Survey and Taxonomy for Characterization

Combining Performance and Productivity: Accelerating the Network Sensing Graph Challenge with GPUs and Commodity Data Science Software

Scalable Engine and the Performance of Different LLM Models in a SLURM based HPC architecture

Inter-APU Communication on AMD MI300A Systems via Infinity Fabric: a Deep Dive

Understanding the Landscape of Ampere GPU Memory Errors

ConTraPh: Contrastive Learning for Parallelization and Performance Optimization

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NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

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