high performance computing on graphics processing units: hgpu.org

S. Van Gorp, M. Beck, M. Breitenfeldt, V. De Leebeeck, P. Friedag, A. Herlert, T. Iitaka, J. Mader, V. Kozlov, S. Roccia, G. Soti, M. Tandecki, E. Traykov, F. Wauters, Ch. Weinheimer, D. Zakoucky, N. Severijns

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Tags: CUDA, N-body simulation, Nuclear Experiment, nVidia, nVidia GeForce GTX 470, nVidia GeForce GTX 480, Package, Physics

December 24, 2011 by hgpu

GPU-based parallel computing for the simulation of complex multibody systems with unilateral and bilateral constraints: an overview

Alessandro Tasora, Dan Negrut, Mihai Anitescu

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Tags: Algorithms, Collision detection, Computer science, CUDA, nVidia, Overview, Tesla C1060

December 23, 2011 by hgpu

SIMD Floating Point Extension for Ray Tracing

Yunus Okmen

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia Quadro FX 4000, Raytracing, Thesis

December 23, 2011 by hgpu

Reducing the Size of Nurbs Controls Nets Using Genetic Algorithms and CUDA

Matthew J. O'Neal, Cameron J. Turner

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Tags: Algorithms, Clustering, Computer science, CUDA, nVidia, Programming techniques

December 23, 2011 by hgpu

Numerical solution of PDEs with hybrid and heterogeneous computing models

Markus Hegland

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Tags: Algorithms, CUDA, Differential equations, Fluid dynamics, Heterogeneous systems, nVidia, nVidia GeForce GTX 295, Partial differential equations, PDEs, Physics, Plasma physics, Review

December 23, 2011 by hgpu

GPU Pathfinding Optimization

Adonis Silva, Fernando Rocha, Artur Santos, Geber Ramalho, Veronica Teichrieb

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Tags: Computer science, CUDA, Games, nVidia, nVidia GeForce GTS 360 M, Optimization, Path problems

December 23, 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

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high performance computing on graphics processing units: hgpu.org

Sorting on GPUs for large scale datasets: A thorough comparison

An Experiment in Parallelizing the Fast Fourier Transform

Quasi-maximum Accuracy Floating-point Computations with GPGPU for Applications in Digital Signal Processing

Using Artificial Intelligence in Computational Games

Scalable multi-GPU implementation of the MAGFLOW simulator

Image processing algorithm optimization with CUDA for Pure Data

Simbuca, using a graphics card to simulate Coulomb interactions in a penning trap

GPU-based parallel computing for the simulation of complex multibody systems with unilateral and bilateral constraints: an overview

SIMD Floating Point Extension for Ray Tracing

Reducing the Size of Nurbs Controls Nets Using Genetic Algorithms and CUDA

Numerical solution of PDEs with hybrid and heterogeneous computing models

GPU Pathfinding Optimization

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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