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MASCOT: Fast and Highly Scalable SVM Cross-validation using GPUs and SSDs

Zeyi Wen, Rui Zhang, Kotagiri Ramamohanarao, Jianzhong Qi, Kerry Taylor

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, Vector Machine

September 25, 2014 by hgpu

Scalability Analysis of Parallel Algorithms on GPU Clusters

Fengshun Lu, Yufei Pang, Fukang Yin

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Tags: Algorithms, Benchmarking, Computer science, CUDA, GPU cluster, nVidia, Tesla M2050

September 25, 2014 by hgpu

Calculation of Force Field Grids for Molecular Docking Using Graphics Processing Unit

Mikhail A. Farkov

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Tags: Algorithms, Bioinformatics, Biology, CUDA, molecular docking, nVidia, nVidia GeForce GT 440, Tesla K20, Tesla M2090

September 24, 2014 by hgpu

Explicit Integration with GPU Acceleration for Large Kinetic Networks

Benjamin Brock, Andrew Belt, Jay Jay Billings, Mike Guidry

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Tags: Algorithms, Computational Physics, CUDA, nVidia, Physics, Solar and Stellar Astrophysics, Tesla K20

September 23, 2014 by hgpu

Computational Gravitational Dynamics with Modern Numerical Accelerators

Simon Portegies Zwart, Jeroen Bedorf

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Tags: Algorithms, Astrophysics, CUDA, Gravitation, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, Stellar dynamics, Tesla K20

September 23, 2014 by hgpu

Parallel Hierarchical Clustering on the GPU

Ursula Reiterer

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Tags: Algorithms, Clustering, Computer science, nVidia, nVidia GeForce GT 650 M, OpenCL, PTX, Thesis

September 20, 2014 by hgpu

Interactive Ray Tracing with Data Locality Optimizations

Sebastian Mayr

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Tags: Algorithms, ATI, ATI Radeon HD 5650 M, Computer science, nVidia, nVidia GeForce GT 520, OpenCL, Raytracing, Rendering, Thesis

September 20, 2014 by hgpu

On the evaluation of matrix polynomials using several GPGPUs

Pedro Alonso, Murilo Boratto, J. Peinado, J. Ibanez, Jorge Sastre

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Tags: Algorithms, Computer science, CUBLAS, CUDA, Heterogeneous systems, nVidia, Tesla K20, Thesis

September 20, 2014 by hgpu

Supporting Applications Involving Dynamic Data Structures and Irregular Memory Access on Emerging Parallel Platforms

Bin Ren

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Tags: Algorithms, Computer science, CUDA, Intel Xeon Phi, Memory model, nVidia, nVidia Quadro FX 5800, Prefetch, Tesla C2050, Thesis

September 19, 2014 by hgpu

GPU Accelerated Parallel Iris Segmentation

Kritika Kurani

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Tags: Algorithms, Biometrics, CUDA, Image processing, nVidia, nVidia Quadro 1000 M, Thesis

September 17, 2014 by hgpu

Distance Threshold Similarity Searches on Spatiotemporal Trajectories using GPGPU

Michael Gowanlock, Henri Casanova

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Tags: Algorithms, Computer science, Databases, nVidia, OpenCL, Tesla C2075

September 16, 2014 by hgpu

Machine learning for ultrafast X-ray diffraction patterns on large-scale GPU clusters

Tomas Ekeberg, Stefan Engblom, Jing Liu

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Tags: Algorithms, Biological Physics, Biology, Biomolecules, Cluster computing, Computational Complexity, CUDA, GPU cluster, Machine learning, nVidia, nVidia GeForce GTX 680, OpenMPI

September 16, 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

MASCOT: Fast and Highly Scalable SVM Cross-validation using GPUs and SSDs

Scalability Analysis of Parallel Algorithms on GPU Clusters

Calculation of Force Field Grids for Molecular Docking Using Graphics Processing Unit

Explicit Integration with GPU Acceleration for Large Kinetic Networks

Computational Gravitational Dynamics with Modern Numerical Accelerators

Parallel Hierarchical Clustering on the GPU

Interactive Ray Tracing with Data Locality Optimizations

On the evaluation of matrix polynomials using several GPGPUs

Supporting Applications Involving Dynamic Data Structures and Irregular Memory Access on Emerging Parallel Platforms

GPU Accelerated Parallel Iris Segmentation

Distance Threshold Similarity Searches on Spatiotemporal Trajectories using GPGPU

Machine learning for ultrafast X-ray diffraction patterns on large-scale GPU clusters

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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