high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Fast Exact Hyper-Graph Matching with Dynamic Programming for Spatio-Temporal Data

Oya Celiktutan, Christian Wolf, Bulent Sankur, Eric Lombardi

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Tags: Algorithms, Computer science, Computer vision, CUDA, Graph theory, nVidia, nVidia GeForce GTS 450, nVidia GeForce GTX 580, Sorting

March 14, 2014 by hgpu

Initial condition for efficient mapping of level set algorithms on many-core architectures

Gabor Janos Tornai, Gyorgy Cserey

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Tags: Differential equations, nVidia, nVidia GeForce GTX 780, OpenCL, Package, Partial differential equations, PDEs, Signal processing

March 14, 2014 by hgpu

Visualizing Trends on Twitter

Cheng Hau Tong

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Thesis, Visualization

March 13, 2014 by hgpu

The Flocking Based and GPU Accelerated Internet Traffic Classification

Zhiguang Xu

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Tags: Computer science, CUDA, Network communications, nVidia, nVidia GeForce GTX 480, Tesla C2070

March 13, 2014 by hgpu

Fast hydrodynamics on heterogenous many-core hardware

Allan Peter Engsig-Karup, Stefan L. Glimberg, Allan S. Nielsen, Ole Lindberg

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Tags: Computer science, CUDA, free surface, GPGPU, hydrodynamics, massively parallel computing, multigrid

March 12, 2014 by apek

Development of High-Performance Software Components for Emerging Architectures

Stefan Lemvig Glimberg, Allan Peter Engsig-Karup, Allan S. Nielsen, Bernd Dammann

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Tags: Computer science, CUDA, GPGPU, iterative methods, Mathematics, multigrid, Package, parallel computing, Partial differential equations, Software development

March 12, 2014 by apek

Configuration and Benchmarks of Peer-to-Peer Communication over Gigabit Ethernet and InfiniBand in a Cluster with Intel Xeon Phi Coprocessors

Vadim Karpusenko and Andrey Vladimirov

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Tags: InfiniBand, Intel Xeon Phi, MPI, RDMA

March 12, 2014 by Andrey Vladimirov

Locality optimization on a NUMA architecture for hybrid LU factorization

Adrien Remy, Marc Baboulin, Masha Sosonkina, Brigitte Rozoy

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Tesla S2050

March 12, 2014 by hgpu

Reduced Vlasov-Maxwell simulations

Philippe Helluy, Laurent Navoret, Nhung Pham, Anais Crestetto

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Tags: Electrodynamics, Hyperbolic system, Maxwell's equations, OpenCL, Particle-in-cell methods

March 12, 2014 by hgpu

Genetically Improved CUDA kernels for StereoCamera

W. B. Langdon, M. Harman

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Tags: Computer science, CUDA, Evolutionary Computations, Genetic programming, nVidia, nVidia GeForce GTX 580, Package, Tesla C2050, Tesla K20, Tesla T10

March 12, 2014 by hgpu

Efficient Preconditioned Conjugate Gradient Parallelization on GPU

A. F. P. Camargos, V. C. Silva

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Tags: Conjugate gradient solver, CUDA, Electrodynamics, Factorization, FEM, Finite element method, nVidia, nVidia GeForce GT 240

March 12, 2014 by hgpu

MaxSSmap: A GPU program for short read mapping with the maximum scoring subsequence

Usman Roshan

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Tags: Bioinformatics, Biology, CUDA, nVidia, Short read mapping, Smith-Waterman algorithm, Tesla M2050

March 12, 2014 by hgpu

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

BioAgent Bench: An AI Agent Evaluation Suite for Bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Private LLM Inference on Consumer Blackwell GPUs: A Practical Guide for Cost-Effective Local Deployment in SMEs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool)

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

PhysProver: Advancing Automatic Theorem Proving for Physics

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

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high performance computing on graphics processing units: hgpu.org

Applications

Fast Exact Hyper-Graph Matching with Dynamic Programming for Spatio-Temporal Data

Initial condition for efficient mapping of level set algorithms on many-core architectures

Visualizing Trends on Twitter

The Flocking Based and GPU Accelerated Internet Traffic Classification

Fast hydrodynamics on heterogenous many-core hardware

Development of High-Performance Software Components for Emerging Architectures

Configuration and Benchmarks of Peer-to-Peer Communication over Gigabit Ethernet and InfiniBand in a Cluster with Intel Xeon Phi Coprocessors

Locality optimization on a NUMA architecture for hybrid LU factorization

Reduced Vlasov-Maxwell simulations

Genetically Improved CUDA kernels for StereoCamera

Efficient Preconditioned Conjugate Gradient Parallelization on GPU

MaxSSmap: A GPU program for short read mapping with the maximum scoring subsequence

Recent source codes

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Awesome LLM-Driven Kernel Generation

PhysProver: Advancing Automatic Theorem Proving for Physics

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

Most viewed papers (last 30 days)