high performance computing on graphics processing units: hgpu.org

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Graphics Processing Unit-Accelerated Quantitative Trait Loci Detection

Guillaume Chapuis, Olivier Filangi, Dominique Lavenier, Jean Michel J. M. Elsen, Pascale Leroy

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Tags: Bioinformatics, Biology, CUDA, nVidia, Tesla C2050

November 16, 2013 by hgpu

Using GPUs to Crack Android Pattern-based Passwords

Jaewoo Pi, Pradipta De, Klaus Mueller

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Tags: Computer science, CUDA, nVidia, nVidia Quadro 4000, Security

November 16, 2013 by hgpu

SAGE: Self-Tuning Approximation for Graphics Engines

Mehrzad Samadi, Janghaeng Lee, D. Anoushe Jamshidi, Amir Hormati, Scott Mahlke

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Tags: Algorithms, Code generation, Compilers, CUDA, Image processing, Machine learning, nVidia, nVidia GeForce GTX 560, Performance

November 14, 2013 by hgpu

Real-Time Screen Space Rendering of Cartoon Water

Liordino dos S. Rocha Neto, Filipe Deo Guimaraes, Antonio L. Apolinario Jr., Vinicius M. Mello

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Tags: 3D Graphics and Realism, Computer science, CUDA, Fluid simulation, Games, GLSL, nVidia, nVidia GeForce GTX 680, OpenGL, Rendering, Visualization

November 14, 2013 by hgpu

Optical Flow via Locally Adaptive Fusion of Complementary Data Costs

Tae Hyun Kim, Hee Seok Lee, Kyoung Mu Lee

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, Optical flow

November 14, 2013 by hgpu

On the origin of yet another channel

Petr Svenda, Vaclav Matyas

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 465, Package, Security

November 14, 2013 by hgpu

A finite volume approach for the simulation of nonlinear dissipative acoustic wave propagation

Roberto Velasco-Segura, Pablo L. Rendon

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Tags: CUDA, Finite volume method, Fluid dynamics, nVidia, Physics, Tesla C2075

November 14, 2013 by hgpu

Designing Scientific Applications on GPUs

Raphael Couturier

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Tags: Book, Computer science, CUDA, Factorization, Fluid simulation, Image processing, Mathematics, nVidia, Physics, Tutorial

November 13, 2013 by hgpu

Utilizing massive parallelism in decoding of modern error-correcting codes for accelerating communication systems simulations

Eugen Ruzicky, Markus Rupp, Peter Farkas, Atilio Gameiro

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Tags: Algorithms, Computer science, CUDA, Error recovery, nVidia, nVidia GeForce GTX 680

November 13, 2013 by hgpu

GPU Enhancement of the Trigger to Extend Physics Reach at the Large Hadron Collider

P. Lujan, V. Halyo, A. Hunt, P. Jindal, P. LeGresley

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Tags: Algorithms, CUDA, Instrumentation and Detectors, nVidia, Physics, Tesla C2075, Tesla K20

November 13, 2013 by hgpu

Lattice Simulations using OpenACC compilers

Pushan Majumdar

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, Mathematical Software, nVidia, OpenACC, Physics, Tesla X2090

November 13, 2013 by hgpu

Sailfish: a flexible multi-GPU implementation of the lattice Boltzmann method

Michal Januszewski, Marcin Kostur

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Tags: Code generation, Computational Physics, CUDA, Fluid dynamics, Fluid simulation, Lattice Boltzmann model, nVidia, nVidia GeForce GTX 285, OpenCL, Package, Physics, Python, Tesla C1060, Tesla C2050, Tesla K10, Tesla K20

November 12, 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

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high performance computing on graphics processing units: hgpu.org

Graphics Processing Unit-Accelerated Quantitative Trait Loci Detection

Using GPUs to Crack Android Pattern-based Passwords

SAGE: Self-Tuning Approximation for Graphics Engines

Real-Time Screen Space Rendering of Cartoon Water

Optical Flow via Locally Adaptive Fusion of Complementary Data Costs

On the origin of yet another channel

A finite volume approach for the simulation of nonlinear dissipative acoustic wave propagation

Designing Scientific Applications on GPUs

Utilizing massive parallelism in decoding of modern error-correcting codes for accelerating communication systems simulations

GPU Enhancement of the Trigger to Extend Physics Reach at the Large Hadron Collider

Lattice Simulations using OpenACC compilers

Sailfish: a flexible multi-GPU implementation of the lattice Boltzmann method

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

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