high performance computing on graphics processing units: hgpu.org

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A Datalog Engine for GPUs

Carlos Alberto Martinez-Angeles, Ines Dutra, Vitor Santos Costa, Jorge Buenabad-Chavez

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 580

October 25, 2013 by hgpu

GGAS: Global GPU Address Spaces for Efficient Communication in Heterogeneous Clusters

Lena Oden, Holger Froning

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, Hybrid computing, Memory model, nVidia, nVidia Quadro 2000, nVidia Quadro FX 5800, Tesla K10, Tesla K20

October 25, 2013 by hgpu

Efficient SDS Simulations on Multi-GPU Nodes of XSEDE High-end Clusters

Samuel Schlachter, Stephen Herbein, Michela Taufer, Shuching Ou, Sandeep Patel, Jeremy S. Logan

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Tags: Chemistry, CUDA, GPU cluster, nVidia, Tesla M2090, Virtualization

October 25, 2013 by hgpu

Modeling system for GPU parallel tasks performance simulation

A.Y.Doroshenko, K.A. Zhereb, O.G.Beketov, M.V. Gnynjuk

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Tags: Computer science, CUDA, Heterogeneous systems, Java, nVidia, nVidia GeForce GT 650 M, Performance

October 24, 2013 by hgpu

A Framework for Management of Distributed Data Processing and Event Selection for the Icecube Neutrino Observatory

Juan Carlos Diaz Velez

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Tags: CUDA, High Energy Physics - Experiment, nVidia, Physics, Python, Tesla C1060, Tesla C2050, Tesla M2070, Thesis

October 24, 2013 by hgpu

Towards a Unified Sentiment Lexicon (USL) based on Graphics Processing Units (GPUs)

Liliana Ibeth Barbosa-Santillan, Inmaculada Alvarez-de-Mon-y-Rego

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla C2075, Tesla K20

October 24, 2013 by hgpu

A multi-Teraflop Constituency Parser using GPUs

John Canny, David Hall, Dan Klein

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Source codes

Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce GTX 680, Package, Tesla K10

October 24, 2013 by hgpu

gEMpicker: A Highly Parallel GPU-Accelerated Particle Picking Tool for Cryo-Electron Microscopy

Thai V. Hoang, Xavier Cavin, Patrick Schultz, David W. Ritchie

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Tags: Algorithms, Biology, Cryo-EM, CUDA, Electron microscopy, FFT, Macromolecule, Microscopy, nVidia, Tesla C1060, Tesla C2075

October 24, 2013 by hgpu

Analysis of Genetic Expression with Microarrays using GPU Implemented Algorithms

Eduardo Romero-Vivas, Fernando D. Von Borstel, Isaac Villa-Medina

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 9800 GT

October 24, 2013 by hgpu

A Parallel PSO Algorithm for a Watermarking Application on a GPU

Edgar Garcia Cano, Katya Rodriguez

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Tags: Algorithms, CUDA, Image processing, nVidia, Particle swarm optimization, Security, Tesla C1060

October 24, 2013 by hgpu

2HOT: An Improved Parallel Hashed Oct-Tree N-Body Algorithm for Cosmological Simulation

Michael S. Warren

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Tags: Algorithms, Astrophysics, Cosmology, CUDA, Fast multipole method, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, Tesla K20, Tesla M2090

October 22, 2013 by hgpu

Multiphase Flow Simulations in Inclined Tubes with Lattice Boltzmann Method on GPU

D.P. Khramtsov, D.A. Nekrasov, B.G. Pokusaev

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, Numerical simulation, nVidia, Tesla C2075

October 22, 2013 by hgpu

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

SIGMo: High-Throughput Batched Subgraph Isomorphism on GPUs for Molecular Matching

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

DGEMM without FP64 Arithmetic – using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

See all packages

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high performance computing on graphics processing units: hgpu.org

A Datalog Engine for GPUs

GGAS: Global GPU Address Spaces for Efficient Communication in Heterogeneous Clusters

Efficient SDS Simulations on Multi-GPU Nodes of XSEDE High-end Clusters

Modeling system for GPU parallel tasks performance simulation

A Framework for Management of Distributed Data Processing and Event Selection for the Icecube Neutrino Observatory

Towards a Unified Sentiment Lexicon (USL) based on Graphics Processing Units (GPUs)

A multi-Teraflop Constituency Parser using GPUs

gEMpicker: A Highly Parallel GPU-Accelerated Particle Picking Tool for Cryo-Electron Microscopy

Analysis of Genetic Expression with Microarrays using GPU Implemented Algorithms

A Parallel PSO Algorithm for a Watermarking Application on a GPU

2HOT: An Improved Parallel Hashed Oct-Tree N-Body Algorithm for Cosmological Simulation

Multiphase Flow Simulations in Inclined Tubes with Lattice Boltzmann Method on GPU

Recent source codes

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Bandicoot: C++ library for GPU accelerated linear algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

Most viewed papers (last 30 days)