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Efficient mapping of the training of Convolutional Neural Networks to a CUDA-based cluster

Jonatan Ward, Sergey Andreev, Francisco Heredia, Bogdan Lazar, Zlatka Manevska

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Tags: Algorithms, CNN, Computer science, CUDA, GPU cluster, Neural networks, nVidia, nVidia GeForce GTX 570, Performance

January 4, 2012 by hgpu

Implementing Parallel SMO to Train SVM on CUDA-Enabled Systems

Zhong Chen, Jack Chua

Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, Tesla M2090

January 4, 2012 by hgpu

Toward Real-Time Dense 3d Reconstruction using Stereo Vision

Jim Braux-Zin

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Tags: Algorithms, Augmented reality, Computer science, CUDA, nVidia, nVidia Quadro FX 3700, Optimization, Stereo vision

January 4, 2012 by hgpu

Automatic SIMD Code Generation

Roland Leissa

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Tags: Algorithms, Code generation, Computer science, Optimization, Performance, Software Engineering, Thesis

January 4, 2012 by hgpu

Analysis of Real-Time Stereo Vision Algorithms On GPU

Ratheesh Kalarot, John Morris, David Berry, James Dunning

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 540 M, nVidia GeForce GTX 480, Stereo vision

January 4, 2012 by hgpu

Extending a C-like Language for Portable SIMD Programming

Roland Leissa, Sebastian Hack, Ingo Wald

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Tags: Compilers, Computer science, High-level Languages, Intel, Performance

January 4, 2012 by hgpu

Evaluating polynomials in several variables and their derivatives on a GPU computing processor

Jan Verschelde, Genady Yoffe

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Tags: Algorithms, Computer science, CUDA, Mathematical Software, Numerical Analysis, nVidia, Tesla C2050

January 4, 2012 by hgpu

Decoupled Deferred Shading for Hardware Rasterization

Gabor Liktor, Carsten Dachsbacher

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce GTX 580, Rasterization, Rendering

January 4, 2012 by hgpu

Building Source-to-Source Compilers for Heterogeneous Targets

Serge Guelton

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Tags: Code generation, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, nVidia Quadro FX 2700 M, Thesis

January 4, 2012 by hgpu

GPU TV-L1 Optical Flow

Brian Hrolenok, Chris McClanahan

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GT 330 M, OpenCL, Optical flow, Security

January 4, 2012 by hgpu

Efficient and Good Delaunay Meshes From Random Points

Mohamed S. Ebeida, Scott A. Mitchell, Andrew A. Davidson, Anjul Patney, Patrick M. Knupp, John D. Owens

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Tags: Algorithms, CAD, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, Probability, Rendering, Triangular meshes

January 4, 2012 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

Efficient mapping of the training of Convolutional Neural Networks to a CUDA-based cluster

Implementing Parallel SMO to Train SVM on CUDA-Enabled Systems

Toward Real-Time Dense 3d Reconstruction using Stereo Vision

Automatic SIMD Code Generation

Analysis of Real-Time Stereo Vision Algorithms On GPU

Extending a C-like Language for Portable SIMD Programming

Evaluating polynomials in several variables and their derivatives on a GPU computing processor

Decoupled Deferred Shading for Hardware Rasterization

Building Source-to-Source Compilers for Heterogeneous Targets

GPU TV-L1 Optical Flow

Efficient and Good Delaunay Meshes From Random Points

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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