high performance computing on graphics processing units: hgpu.org

Styliani Loukatou, Louis Papageorgiou, Paraskevas Fakourelis, Arianna Filntisi, Eleftheria Polychronidou, Ioannis Bassis, Vasileios Megalooikonomou, Wojciech Makalowski, Dimitrios Vlachakis, Sophia Kossida

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Tags: Bioinformatics, Biology, Chemistry, CUDA, Medicine, Molecular dynamics, nVidia, OpenCL, Physics

July 4, 2014 by hgpu

A second generation of DEFG: Declarative Framework for GPUs

Robert Senser, Tom Altman

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Tags: Computer science, High-level Languages, nVidia, OpenCL, Tesla T20

July 4, 2014 by hgpu

On Static Timing Analysis of GPU Kernels

Vesa Hirvisalo

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Tags: Computer science, OpenCL, Performance, Timing analysis

July 4, 2014 by hgpu

Parallel Implementation of Travelling Salesman Problem using Ant Colony Optimization

Gaurav Bhardwaj, Manish Pandey

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Tags: Algorithms, Ant colony optimization, ATI, ATI Radeon HD 6450, Computer science, OpenCL

July 4, 2014 by hgpu

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

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

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

exa-AMD: An Exascale-Ready Framework for Accelerating the Discovery and Design of Functional Materials

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high performance computing on graphics processing units: hgpu.org

Programming-Model Centric Debugging for Multicore Embedded Systems

Visualization of Large Volumetric Multi-Channel Microscopy Data Streams on Standard PCs

Random Fields Generation on the GPU with the Spectral Turning Bands Method

Utilizing state-of-art NeuroES and GPGPU to optimize Mario AI

GiMMiK – Generating Bespoke Matrix Multiplication Kernels for Various Hardware Accelerators; Applications in High-Order Computational Fluid Dynamics

A Parallelized Implementation for H. 264 Real-time Encoding Scheme

High-level Parallel Programming Support for Heterogeneous Systems

Writing self-adaptive codes for heterogeneous systems

Molecular dynamics simulations through GPU video games technologies

A second generation of DEFG: Declarative Framework for GPUs

On Static Timing Analysis of GPU Kernels

Parallel Implementation of Travelling Salesman Problem using Ant Colony Optimization

Recent source codes

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

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