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GPU Computing in Discrete Optimization. Part II: Survey Focused on Routing Problems

Christian Schulz, Geir Hasle, Andre R. Brodtkorb, Trond R. Hagen

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Optimization, Tutorial

August 12, 2013 by hgpu

GPU Computing in Discrete Optimization. Part I: Introduction to the GPU

Andre R. Brodtkorb, Trond R. Hagen, Christian Schulz, Geir Hasley

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Optimization, Tutorial

August 12, 2013 by hgpu

Parallel Simulations for Analysing Portfolios of Catastrophic Event Risk

Aman Bahl, Oliver Baltzer, Andrew Rau-Chaplin, Blesson Varghese

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Tags: Algorithms, Computational Engineering, Computer science, CUDA, Finance, Monte Carlo simulation, nVidia, Stochastic simulation, Tesla C2075

August 12, 2013 by hgpu

A Memory Efficient Algorithm for Adaptive Multidimensional Integration with Multiple GPUs

Kamesh Arumugam, Alexander Godunov, Desh Ranjan, Balsa Terzic, Mohammad Zubair

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Tags: Algorithms, Computer science, CUDA, Mathematics, MPI, nVidia, Optimization, Package, Tesla M2090

August 12, 2013 by hgpu

A Parallel Algorithm for Calculation of Large Determinants with High Accuracy for GPUs and MPI clusters

Gleb Beliakov, Yuri Matiyasevich

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Tags: Algorithms, Computer science, CUDA, Mathematical Software, MPI, Number Theory, Numerical Analysis, nVidia, Tesla C2070

August 12, 2013 by hgpu

Heterogeneous Computing for Real-Time Stereo Matching

A. AL-Marakeby, M. Zaki

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Tags: Algorithms, Computer science, Computer vision, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GT 610 M, Stereo vision

August 10, 2013 by hgpu

Analyzing Optimization Techniques for Power Efficiency on Heterogeneous Platforms

Yash Ukidave, David Kaeli

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Tags: Algorithms, ATI, ATI Radeon HD 7770, Computer science, FFT, Heterogeneous systems, nVidia, nVidia GeForce GTX 680, OpenCL, Power-efficient computing

August 10, 2013 by hgpu

PixelPie: Maximal Poisson-disk Sampling with Rasterization

Cheuk Yiu Ip, M. Adil Yalcin, David Luebke, Amitabh Varshney

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Tags: Algorithms, Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 580, OpenGL, Rasterization

August 10, 2013 by hgpu

Sequence Data Indexing Method Exploiting the Parallel Processing Resources of GPGPU

Taehwan Kim, Seokil Song, Dojin Choi, Yunsik Kwak, Bongen Goo

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 670

August 10, 2013 by hgpu

Finding Next Best Views for Autonomous UAV Mapping through GPU-Accelerated Particle Simulation

Benjamin Adler, Junhao Xiao, Jianwei Zhang

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 670, nVidia Quadro 2000, OpenGL, Package, Particle simulation

August 10, 2013 by hgpu

High-Performance Holistic XML Twig Filtering Using GPUs

Ildar Absalyamov, Roger Moussalli, Walid Najjar, Vassilis Tsotras

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Tags: Computer science, CUDA, Filtering, nVidia, Tesla C2075, Tesla K20

August 9, 2013 by hgpu

An Energy Optimization of a GPU Application by Grid Design Space Exploration

Hana Park, Jungmin So, Young-Woong Ko, Jeong-Gun Lee

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Tags: Computer science, CUDA, Design space exploration, Energy-efficient computing, nVidia, nVidia GeForce GTX 660

August 8, 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

GPU Computing in Discrete Optimization. Part II: Survey Focused on Routing Problems

GPU Computing in Discrete Optimization. Part I: Introduction to the GPU

Parallel Simulations for Analysing Portfolios of Catastrophic Event Risk

A Memory Efficient Algorithm for Adaptive Multidimensional Integration with Multiple GPUs

A Parallel Algorithm for Calculation of Large Determinants with High Accuracy for GPUs and MPI clusters

Heterogeneous Computing for Real-Time Stereo Matching

Analyzing Optimization Techniques for Power Efficiency on Heterogeneous Platforms

PixelPie: Maximal Poisson-disk Sampling with Rasterization

Sequence Data Indexing Method Exploiting the Parallel Processing Resources of GPGPU

Finding Next Best Views for Autonomous UAV Mapping through GPU-Accelerated Particle Simulation

High-Performance Holistic XML Twig Filtering Using GPUs

An Energy Optimization of a GPU Application by Grid Design Space Exploration

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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