high performance computing on graphics processing units: hgpu.org

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PUGACE, a cellular Evolutionary Algorithm framework on GPUs

Nicolas Soca, Jose Luis Blengio, Martin Pedemonte, Pablo Ezzatti

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Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, Metaheuristics, nVidia, nVidia GeForce 9800 GTX, Optimization

August 7, 2011 by hgpu

A convex formulation for color image segmentation in the context of passive emitter localization

Marek Schikora, Miriam Hage, Eicke Ruthotto, Klaus Wild

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 280

August 7, 2011 by hgpu

A pure vision-based approach to topological SLAM

Wen Lik Dennis Lui, Ray Jarvis

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

August 7, 2011 by hgpu

Hardware accelerators for biocomputing: A survey

Souradip Sarkar, Turbo Majumder, Ananth Kalyanaraman, Partha Pratim Pande

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Tags: Biology, Cell processor, CUDA, FPGA, Molecular dynamics, nVidia, nVidia GeForce 7800 GTX, Performance, Review, Sequence alignment

August 7, 2011 by hgpu

Tradeoff analysis and optimization of power delivery networks with on-chip voltage regulation

Zhiyu Zeng, Xiaoji Ye, Zhuo Feng, Peng Li

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Tags: Computer science, CUDA, Hardware Architecture, Nonlinear optimization, nVidia, nVidia GeForce 9800 GX2, Optimization

August 6, 2011 by hgpu

Accelerated simulation of spiking neural networks using GPUs

Andreas K. Fidjeland, Murray P. Shanahan

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Tags: Biology, CUDA, Neural networks, nVidia, Tesla C1060

August 6, 2011 by hgpu

Enabling active storage on parallel I/O software stacks

Seung Woo Son, Samuel Lang, Philip Carns, Robert Ross, Rajeev Thakur, Berkin Ozisikyilmaz, Prabhat Kumar, Wei-Keng Liao, Alok Choudhary

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Tags: Benchmarking, Computer science, CUDA, GPU cluster, MPI, nVidia, Tesla C1060

August 6, 2011 by hgpu

Polyconvexification of the multi-label optical flow problem

N. Papadakis, A. Baeza, P. Gargallo, V. Caselles

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

August 6, 2011 by hgpu

Accelerating wavelet-based video coding on graphics hardware using CUDA

Wladimir J. van der Laan, Jos B.T.M. Roerdink, Andrei C. Jalba

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Tags: Compression, CUDA, Discrete Wavelet Transform, Motion compensation, nVidia, nVidia GeForce GTX 280, Package, Signal processing

August 5, 2011 by hgpu

An optimised multi-baseline approach for on-line MR-temperature monitoring on commodity graphics hardware

B.D. de Senneville, K.O. Noe, M. Ries, M. Pedersen, C.T.W. Moonen, T.S. Sorensen

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Tags: CUDA, Magnetic resonance imaging, Medicine, Motion compensation, MRI, nVidia, nVidia GeForce 8800 GTX

August 5, 2011 by hgpu

A parallel decoding algorithm of LDPC codes using CUDA

Shuang Wang, Samuel Cheng, Qiang Wu

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, Parity-check codes

August 4, 2011 by hgpu

A lighting model for fast rendering of forest ecosystems

Robert Geist, Jay Steele

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia Quadro FX 5600, Raytracing, Rendering

August 4, 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

PUGACE, a cellular Evolutionary Algorithm framework on GPUs

A convex formulation for color image segmentation in the context of passive emitter localization

A pure vision-based approach to topological SLAM

Hardware accelerators for biocomputing: A survey

Tradeoff analysis and optimization of power delivery networks with on-chip voltage regulation

Accelerated simulation of spiking neural networks using GPUs

Enabling active storage on parallel I/O software stacks

Polyconvexification of the multi-label optical flow problem

Accelerating wavelet-based video coding on graphics hardware using CUDA

An optimised multi-baseline approach for on-line MR-temperature monitoring on commodity graphics hardware

A parallel decoding algorithm of LDPC codes using CUDA

A lighting model for fast rendering of forest ecosystems

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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