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A GPU Parallelized Spectral Method for Elliptic Equations

Feng Chen, Jie Shen

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Tags: Algorithms, Computer science, CUDA, nVidia, Spectral methods, Tesla K20

June 18, 2013 by hgpu

Auto-Tunning of Data Communication on Heterogeneous Systems

Marc Jorda, Ivan Tanasic, Javier Cabezas, Lluis Vilanova, Isaac Gelado, Nacho Navarro

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Performance, Tesla C2050, Tesla C2070, Tesla M2090

June 17, 2013 by hgpu

Investigation of GPU-based Pattern Matching

X. Bellekens, I. Andonovic, RC. Atkinson

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Tags: Algorithms, Computer science, CUDA, nVidia, Security, String matching, Tesla K20

June 17, 2013 by hgpu

GPU Programming in Rust: Implementing High Level Abstractions in a Systems Level Language

Eric Holk, Milinda Pathirage, Arun Chauhan, Andrew Lumsdaine, Nicholas D. Matsakis

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Source codes

Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce GTX 460, OpenCL, Package, PTX

June 17, 2013 by hgpu

Performance Analysis on Energy Efficient High-Performance Architectures

Roman Iakymchuk, Francois Trahay

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Tags: ARM, Computer science, CUDA, Energy-efficient computing, nVidia, Performance

June 16, 2013 by hgpu

GPU-Optimized Hybrid Neighbor/Cell List Algorithm for Coarse-Grained Molecular Dynamics Simulations

Andrew J. Proctor

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Tags: Algorithms, Biomolecules, Computer science, Molecular dynamics, nVidia, nVidia GeForce GTX 480, Tesla C2070, Thesis

June 16, 2013 by hgpu

Multicore and GPU Parallelization of Neural Networks for Face Recognition

Altaf Ahmad Huqqani, Erich Schikuta, Sicen Ye, Peng Chen

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Tags: Computer science, Computer vision, CUDA, Neural networks, nVidia, OpenMP, Tesla C1060

June 16, 2013 by hgpu

A GPU-based Method for Computing Eigenvector Centrality of Gene-expression Networks

Ahmed Shamsul Arefin, Regina Berretta, Pablo Moscato

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Tags: Computer science, CUDA, Neural networks, nVidia, Tesla C2050

June 16, 2013 by hgpu

Improving GPU programming models through hardware cache coherence

Inderpreet Singh

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Tags: Computer science, GPGPU-sim, Memory model, Thesis

June 14, 2013 by hgpu

Computing virtual acoustics using the 3D finite difference time domain method and Kepler architecture GPUs

Craig J. Webb

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Tags: Acoustics, Computer science, CUDA, FDTD, Finite difference, Finite-difference time-domain, nVidia, Tesla K20

June 14, 2013 by hgpu

Research on a Parallel BD-tree Index Structure

Yong Liu, Liping Luo, Lianyin Jia, Jinwang Huang, Jingxing Wang, Dongpin Huang

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Tags: Computer science, CUDA, Databases, Hashing, nVidia, nVidia GeForce GTX 480

June 14, 2013 by hgpu

Use of CUDA Parallel Computing Technology in Modeling of Solid Mineral Deposits

D.I.Eryemin, Yu.A.Ponyatov, N.I.Yagfarova

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla C2050

June 13, 2013 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

See all packages

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high performance computing on graphics processing units: hgpu.org

A GPU Parallelized Spectral Method for Elliptic Equations

Auto-Tunning of Data Communication on Heterogeneous Systems

Investigation of GPU-based Pattern Matching

GPU Programming in Rust: Implementing High Level Abstractions in a Systems Level Language

Performance Analysis on Energy Efficient High-Performance Architectures

GPU-Optimized Hybrid Neighbor/Cell List Algorithm for Coarse-Grained Molecular Dynamics Simulations

Multicore and GPU Parallelization of Neural Networks for Face Recognition

A GPU-based Method for Computing Eigenvector Centrality of Gene-expression Networks

Improving GPU programming models through hardware cache coherence

Computing virtual acoustics using the 3D finite difference time domain method and Kepler architecture GPUs

Research on a Parallel BD-tree Index Structure

Use of CUDA Parallel Computing Technology in Modeling of Solid Mineral Deposits

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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