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Investigating the Performance of Motion Estimation Block-Matching Algorithms on GPU Cards

Eralda Nishani, Betim Cico, Neki Frasheri

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Tags: CUDA, Image processing, nVidia, nVidia Quadro 400

September 22, 2013 by hgpu

Fast Endmember Extraction for Massive Hyperspectral Sensor Data on GPUs

Zebin Wu, Shun Ye, Jie Wei, Zhihui Wei, Le Sun, Jianjun Liu

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Tags: CUDA, Image processing, nVidia, nVidia Quadro 600, Sensing, Tesla C2050

September 22, 2013 by hgpu

Paralleling Variable Block Size Motion Estimation of HEVC on Multi- Core CPU Plus GPU Platform

Xiang-wen Wang, Li Song, Min Chen, Jun-jie Yang

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Tags: Compression, CUDA, H.264/AVC, Image processing, Motion compensation, nVidia, Tesla C2050

September 22, 2013 by hgpu

Optimization solutions for the segmented sum algorithmic function

Alexandru Pirjan

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Tags: Computer science, CUDA, Memory, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 680, Performance

September 21, 2013 by hgpu

A streaming model for nested data parallelism

Frederik M. Madsen

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Tags: Algorithms, Computer science, CUDA, Data parallelism, nVidia, Thesis

September 21, 2013 by hgpu

Performing DCT8x8 Computation on GPU Using NVIDIA CUDA Technology

Jagdamb Behari Srivastava, R. B. Singh, Jitendra Jain

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GT 630 M

September 21, 2013 by hgpu

A GPU Implementation of Parallel Constraint-based Local Search

Alejandro Arbelaez, Philippe Codognet

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Tags: Algorithms, Computer science, CUDA, nVidia, Search, Tesla C2075

September 21, 2013 by hgpu

GPU Accelerated Parameter Estimation by Global Optimization using Interval Analysis

Mads B. Eriksen, Soren Rasmussen

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 465, nVidia GeForce GTX 580, nVidia GeForce GTX Titan, Thesis

September 21, 2013 by hgpu

Preconditioned conjugate gradient solver for structural problems

Xiangge Li

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Tags: Computer science, Conjugate gradient solver, CUDA, nVidia, Physics, Tesla M2070

September 20, 2013 by hgpu

Can GPUs Sort Strings Efficiently?

Aditya Deshpande, P. J. Narayanan

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Sorting, Tesla K20

September 20, 2013 by hgpu

ClusterWatch: Flexible, Lightweight Monitoring for High-end GPGPU Clusters

Magdalena Slawinska, Karsten Schwan, Greg Eisenhauer

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Tags: Computer science, CUDA, GPU cluster, nVidia, Tesla M2090

September 20, 2013 by hgpu

Comprehensive Evaluations of Cone-beam CT dose in Image-guided Radiation Therapy via GPU-based Monte Carlo simulations

Davide Montanari, Enrica Scolari, Chiara Silvestri, Yan J. Graves, Hao Yan, Laura Cervino, Roger Rice, Steve B. Jiang, Xun Jia

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Tags: Computed tomography, CT, CUDA, Medical Physics, Medicine, Monte Carlo simulation, nVidia, nVidia GeForce GTX 590, Physics

September 20, 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

Investigating the Performance of Motion Estimation Block-Matching Algorithms on GPU Cards

Fast Endmember Extraction for Massive Hyperspectral Sensor Data on GPUs

Paralleling Variable Block Size Motion Estimation of HEVC on Multi- Core CPU Plus GPU Platform

Optimization solutions for the segmented sum algorithmic function

A streaming model for nested data parallelism

Performing DCT8x8 Computation on GPU Using NVIDIA CUDA Technology

A GPU Implementation of Parallel Constraint-based Local Search

GPU Accelerated Parameter Estimation by Global Optimization using Interval Analysis

Preconditioned conjugate gradient solver for structural problems

Can GPUs Sort Strings Efficiently?

ClusterWatch: Flexible, Lightweight Monitoring for High-end GPGPU Clusters

Comprehensive Evaluations of Cone-beam CT dose in Image-guided Radiation Therapy via GPU-based Monte Carlo simulations

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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