high performance computing on graphics processing units: hgpu.org

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Processing of synthetic Aperture Radar data with GPGPU

C. Clemente, M. di Bisceglie, M. Di Santo, N. Ranaldo, M. Spinelli

Tags: CUDA, FFT, nVidia, Signal processing, Tesla C1060

June 18, 2011 by hgpu

Coming Soon: Research in a Cloud

Pam Frost Gorder

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Tags: Chemistry, Cloud, CUDA, Molecular dynamics, nVidia, nVidia GeForce GTX 280, Package

June 18, 2011 by hgpu

CUDA-Based Jacobi’s Iterative Method

Zhihui Zhang, Qinghai Miao, Ying Wang

Tags: Computer science, CUDA, Linear Algebra, nVidia

June 18, 2011 by hgpu

Parallelization and characterization of GARCH option pricing on GPUs

Ren-Shuo Liu, Yun-Cheng Tsai, Chia-Lin Yang

Tags: Computational finance, CUDA, Finance, nVidia

June 17, 2011 by hgpu

The Possibility of Fast Large-Scale Numerical Simulation Implemented with Graphics Processing Units

Chi-Jer Yu, Chii-Tung Liu

Tags: Computer science, CUDA, Finite volume method, Fluid dynamics, Numerical simulation, nVidia, nVidia GeForce GTX 280

June 17, 2011 by hgpu

Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures

Byunghyun Jang, Dana Schaa, Perhaad Mistry, David Kaeli

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Tags: ATI, ATI Radeon HD 3870, Brook, Computer science, CUDA, Data parallelism, Memory model, nVidia, nVidia GeForce GTX 285, Review

June 17, 2011 by hgpu

Adapting MoM with RWG Basis Functions to GPU Technology Using CUDA

Tomasz Topa, A. Noga, A. Karwowski

Tags: CUDA, Electrodynamics, nVidia

June 16, 2011 by hgpu

Using the PhysX engine for physics-based virtual surgery with force feedback

Anderson Maciel, Tansel Halic, Zhonghua Lu, Luciana P. Nedel, Suvranu De

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Tags: CUDA, Medicine, nVidia, nVidia GeForce 8800 GTX, Rendering, Surgical simulation

June 16, 2011 by hgpu

Brownian dynamics simulations on CPU and GPU with BD_BOX

Maciej Dlugosz, Pawel Zielinski, Joanna Trylska

Source codes

Tags: Chemistry, CUDA, Molecular dynamics, MPI, nVidia, OpenMP, Package

June 16, 2011 by hgpu

Single Chain Slip-Spring Model for Fast Rheology Simulations of Entangled Polymers on GPU

Takashi Uneyama

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Tags: Condensed matter, CUDA, nVidia, Physics, Soft Condensed Matter, Tesla C1060

June 16, 2011 by hgpu

Parallel cross-layer optimization of high-level synthesis and physical design

James Williamson, Yinghai Lu, Li Shang, Hai Zhou, Xuan Zeng

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Tags: CAD, Computer science, CUDA, Electronic design automation, nVidia, Tesla C1060

June 15, 2011 by hgpu

Loose capacity-constrained representatives for the qualitative visual analysis in molecular dynamics

Steffen Frey, Thomas Schlomer, Sebastian Grottel, Carsten Dachsbacher, Oliver Deussen, Thomas Ertl

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Tags: Computer science, CUDA, Molecular dynamics, nVidia, nVidia GeForce GTX 480, Visualization, Voronoi diagram

June 15, 2011 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

Processing of synthetic Aperture Radar data with GPGPU

CUDA-Based Jacobi’s Iterative Method

Parallelization and characterization of GARCH option pricing on GPUs

The Possibility of Fast Large-Scale Numerical Simulation Implemented with Graphics Processing Units

Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures

Adapting MoM with RWG Basis Functions to GPU Technology Using CUDA

Using the PhysX engine for physics-based virtual surgery with force feedback

Brownian dynamics simulations on CPU and GPU with BD_BOX

Single Chain Slip-Spring Model for Fast Rheology Simulations of Entangled Polymers on GPU

Parallel cross-layer optimization of high-level synthesis and physical design

Loose capacity-constrained representatives for the qualitative visual analysis in molecular dynamics

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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