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GPU Accelerated Conjunction Assessment with Applications to Formation Flight and Space Debris Tracking

Abel Brown, Jason Tichy, Michael Demoret, David Rand

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Tags: CUDA, Earth and Space Sciences, nVidia, Tesla M2050

October 7, 2013 by hgpu

Measurements of performance of hardware and general purpose classical molecular dynamics simulation software

Jose O. Sotero-Esteva

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Tags: CUDA, Molecular dynamics, nVidia, Physics, Tesla C2075

October 5, 2013 by hgpu

Parametric GPU Code Generation for Affine Loop Programs

Athanasios Konstantinidis, Paul H. J. Kelly, J. Ramanujam, P. Sadayappan

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Tags: Code generation, Computer science, CUDA, nVidia, nVidia GeForce GT 540 M, nVidia GeForce GTX 580, OpenCL, Package, Tesla K20, Tesla M2070

October 5, 2013 by hgpu

Facial Expression Recognition – Review

Umesh Balkrishna Chavan, Dinesh B Kulkarni

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Tags: Computer science, Computer vision, CUDA, nVidia, Pattern recognition

October 4, 2013 by hgpu

Parallel Computing Using GPU for Efficient Traffic Simulation

Sadat Sakif Ahmed

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 560, Thesis, Vehicular traffic

October 4, 2013 by hgpu

Advanced Optimization Techniques for Sparse Grids on Modern Heterogeneous Systems

Alin Florindor Murarasu

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, nVidia Quadro 6000, Thesis

October 4, 2013 by hgpu

Cudagrind: A Valgrind Extension for CUDA

Thomas M. Baumann, Jose Gracia

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Tags: Computer science, CUDA, Memory, nVidia, Package, Software Engineering

October 4, 2013 by hgpu

3D Non-Local Means denoising via multi-GPU

Giuseppe Palma, Francesco Piccialli, Pasquale De Michele, Salvatore Cuomo, Marco Comerci, Pasquale Borrelli, Bruno Alfano

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Tags: Algorithms, CUDA, Filtering, Image processing, nVidia, Signal denoising, Tesla S2050

October 4, 2013 by hgpu

MC-RANSAC: A Pre-processing Model for RANSAC using Monte Carlo method implemented on a GPU

Priyank Trivedi, Tejaswi Agarwal, K. Muthunagai

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Tags: Computer science, Computer vision, Consensus, CUDA, Filtering, Monte Carlo simulation, nVidia

October 4, 2013 by hgpu

GPU-accelerated triangle-triangle intersection tester algorithm

Romain Maffina

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 590, Tessellation, Thesis

October 3, 2013 by hgpu

Compiler Optimizations for SIMD/GPU/Multicore Architectures

Jun Liu

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Tags: Code generation, Compilers, Computer science, CUDA, Data parallelism, nVidia, Tesla C2050, Thesis

October 3, 2013 by hgpu

CUDA Enhanced Filtering in a Pipelined Video Processing Framework

Austin Aaron Dworaczyk Wiltshire

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Tags: CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 780, nVidia GeForce GTX Titan, Thesis

October 2, 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

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high performance computing on graphics processing units: hgpu.org

GPU Accelerated Conjunction Assessment with Applications to Formation Flight and Space Debris Tracking

Measurements of performance of hardware and general purpose classical molecular dynamics simulation software

Parametric GPU Code Generation for Affine Loop Programs

Facial Expression Recognition – Review

Parallel Computing Using GPU for Efficient Traffic Simulation

Advanced Optimization Techniques for Sparse Grids on Modern Heterogeneous Systems

Cudagrind: A Valgrind Extension for CUDA

3D Non-Local Means denoising via multi-GPU

MC-RANSAC: A Pre-processing Model for RANSAC using Monte Carlo method implemented on a GPU

GPU-accelerated triangle-triangle intersection tester algorithm

Compiler Optimizations for SIMD/GPU/Multicore Architectures

CUDA Enhanced Filtering in a Pipelined Video Processing Framework

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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