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Connected component labeling on a 2D grid using CUDA

Oleksandr Kalentev, Abha Rai, Stefan Kemnitz, Ralf Schneider

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Tags: Algorithms, Computer science, CUDA, nVidia

January 10, 2011 by hgpu

Tapping the supercomputer under your desk: solving dynamic equilibrium models with graphics processors?

Eric M. Aldrich, Jesus Fernandez-Villaverde, A. Ronald Gallant, Juan F. Rubio-Ramirez

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Tags: CUDA, Finance, nVidia, nVidia GeForce GTX 280, Package, Tesla C1060

January 9, 2011 by hgpu

Parallel Prefix Sum (Scan) with CUDA

Mark Harris, Shubhabrata Sengupta, John D. Owens

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Visualization

January 9, 2011 by hgpu

A study on tetrahedron-based inhomogeneous Monte Carlo optical simulation

Haiou Shen, Ge Wang

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Tags: CUDA, Monte Carlo simulation, nVidia, Optics, Physics, Tesla C1060

January 9, 2011 by hgpu

Real-time object detection on CUDA

Adam Herout, Radovan Josth, Roman Juranek, Jiri Havel, Michal Hradis, Pavel Zemcik

Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 9800 GTX, Pattern recognition

January 9, 2011 by hgpu

Evaluation and tuning of the Level 3 CUBLAS for graphics processors

S. Barrachina, M. Castillo, F. D. Igual, R. Mayo, E. S. Quintana-Orti

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Tags: Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, nVidia GeForce 8800 Ultra

January 9, 2011 by hgpu

Parallel programming for multimedia applications

Hari Kalva, Aleksandar Colic, Adriana Garcia, Borko Furht

Tags: Computer science, CUDA, nVidia, OpenMP, Programming techniques

January 9, 2011 by hgpu

A new approach to the lattice Boltzmann method for graphics processing units

Christian Obrecht, Frederic Kuznik, Bernard Tourancheau, Jean-Jacques Roux

Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia GeForce GT 200

January 9, 2011 by hgpu

High-throughput bayesian computing machine with reconfigurable hardware

Mingjie Lin, Ilia Lebedev, John Wawrzynek

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Tags: Bayesian, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 9400 M

January 9, 2011 by hgpu

Improving the Performance of Hyperspectral Image and Signal Processing Algorithms Using Parallel, Distributed and Specialized Hardware-Based Systems

Antonio Plaza, Javier Plaza, Hugo Vegas

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Tags: CUDA, FPGA, Image processing, MPI, nVidia, nVidia GeForce 8800 GTX, Signal processing

January 9, 2011 by hgpu

Raising the level of many-core programming with compiler technology: meeting a grand challenge

Wen-mei Hwu

Tags: Compilers, Computer science, CUDA, nVidia, OpenCL, Programming techniques

January 9, 2011 by hgpu

Acceleration of FDTD mode solver by high-performance computing techniques

Lin Han, Yanping Xi, Wei-Ping Huang

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Tags: CUDA, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce GTX 295, Optics, Physics

January 8, 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

Applications

Connected component labeling on a 2D grid using CUDA

Tapping the supercomputer under your desk: solving dynamic equilibrium models with graphics processors?

Parallel Prefix Sum (Scan) with CUDA

A study on tetrahedron-based inhomogeneous Monte Carlo optical simulation

Real-time object detection on CUDA

Evaluation and tuning of the Level 3 CUBLAS for graphics processors

Parallel programming for multimedia applications

A new approach to the lattice Boltzmann method for graphics processing units

High-throughput bayesian computing machine with reconfigurable hardware

Improving the Performance of Hyperspectral Image and Signal Processing Algorithms Using Parallel, Distributed and Specialized Hardware-Based Systems

Raising the level of many-core programming with compiler technology: meeting a grand challenge

Acceleration of FDTD mode solver by high-performance computing techniques

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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