high performance computing on graphics processing units: hgpu.org

Jorge Frances Monllor, Sergio Bleda Perez, Jani Tervo, Cristian Neipp Lopez, Andres Marquez Ruiz, Inmaculada Pascual Villalobos, Augusto Belendez Vazquez

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Tags: CUDA, Electrodynamics, FDTD, FEM, Finite element method, Finite-difference time-domain, nVidia, nVidia GeForce GTX 460, Optics

September 20, 2013 by hgpu

Exponential Integrators on Graphics Processing Units

Lukas Einkemmer, Alexander Ostermann

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Tags: Computer science, CUDA, Differential equations, Numerical Analysis, nVidia, Tesla C1060, Tesla C2075

September 20, 2013 by hgpu

Adjustable GPU Acceleration for Hermitian Eigensystems

Michael T. Garba, Horacio Gonzalez-Velez, Daniel L. Roach

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Tags: Computer science, CUDA, Linear Algebra, nVidia, Tesla C2050

September 18, 2013 by hgpu

Acceleration of recovery simulation on big model using GPU

T. T. Bekibayev, B. K. Assilbekov, U. K. Zhapbasbayev

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti

September 18, 2013 by hgpu

A GPU-based Parallel Procedure for Nonlinear Analysis of Complex Structures Using a Coupled FEM/DEM Approach

Lixiang Wang, Shihai Li, Guoxin Zhang, Zhaosong Ma, Lei Zhang

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Tags: Computer science, CUDA, FEM, Finite element method, Nonlinear analysis, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 670, nVidia GeForce GTX 680

September 18, 2013 by hgpu

A distributed computing approach to improve the performance of the Parallel Ocean Program (v2.1)

B. van Werkhoven, J. Maassen, M. Kliphuis, H. A. Dijkstra, S. E. Brunnabend, M. van Meersbergen, F. J. Seinstra, H. E. Bal

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Tags: CUDA, Distributed computing, Earth and Space Sciences, Geoscience, nVidia, Tesla K20

September 18, 2013 by hgpu

Parallel Motion Estimation Implementation for Different Block Matching Algorithms onto GPGPU

Eduarda Monteiro, Marilena Maule, Felipe Sampaio, Claudio Diniz, Bruno Zatt, Sergio Bampi

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Tags: Algorithms, Computer science, CUDA, MPI, nVidia, nVidia GeForce GTX 480, OpenMP, Video encoding

September 17, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Preconditioned conjugate gradient solver for structural problems

Can GPUs Sort Strings Efficiently?

ClusterWatch: Flexible, Lightweight Monitoring for High-end GPGPU Clusters

Comprehensive Evaluations of Cone-beam CT dose in Image-guided Radiation Therapy via GPU-based Monte Carlo simulations

Rethinking the Union of Computed Tomography Reconstruction and GPGPU Computing

Performance analysis of multi-core CPUs and GPU computing on SF-FDTD scheme for third order nonlinear materials and periodic media

Exponential Integrators on Graphics Processing Units

Adjustable GPU Acceleration for Hermitian Eigensystems

Acceleration of recovery simulation on big model using GPU

A GPU-based Parallel Procedure for Nonlinear Analysis of Complex Structures Using a Coupled FEM/DEM Approach

A distributed computing approach to improve the performance of the Parallel Ocean Program (v2.1)

Parallel Motion Estimation Implementation for Different Block Matching Algorithms onto GPGPU

Recent source codes

CrossTL: Universal Programming Language & Translator

TBD-GPU

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model

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

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