high performance computing on graphics processing units: hgpu.org

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High Performance Programming for Soft Computing

Oscar Humberto Montiel Ross, Roberto Sepulveda

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Tags: Algorithms, Book, Computer science, CUDA, nVidia

January 14, 2014 by hgpu

GPUs for real-time processing in HEP trigger systems

R. Ammendola, A. Biagioni, L. Deri, M. Fiorini, O. Frezza, G. Lamanna, F. Lo Cicero, A. Lonardo, A. Messina, M. Sozzi, F. Pantaleo, P.S. Paolucci, D. Rossetti, F. Simula, L. Tosoratto, P. Vicini

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Tags: CUDA, Data acquisition, High Energy Physics - Experiment, nVidia, nVidia GeForce GTX 680, Physics, Tesla C1060, Tesla C2050

January 14, 2014 by hgpu

A Framework for Productive, Efficient and Portable Parallel Computing

Ekaterina I. Gonina

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Source codes

Tags: Algorithms, Code generation, Computer science, CUDA, MapReduce, nVidia, nVidia GeForce GTX 480, Package, Python, Thesis

January 12, 2014 by hgpu

A tool for mapping Single Nucleotide Polymorphisms using Graphics Processing Units

Andrea Manconi, Alessandro Orro, Emanuele Manca, Giuliano Armano, Luciano Milanesi

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Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 480, Package, Smith-Waterman algorithm, Tesla K20

January 12, 2014 by hgpu

Warp-Level Divergence in GPUs: Characterization, Impact, and Mitigation

Ping Xiang, Yi Yang, Huiyang Zhou

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, nVidia GeForce GTX 480, Performance

January 12, 2014 by hgpu

GPU-Accelerated parallel FDTD on Distributed Heterogeneous Platform

Ronglin Jiang, Shugang Jiang, Yu Zhang, Ying Xu, Lei Xu, Dandan Zhang

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Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, Fortran, Heterogeneous systems, MPI, nVidia, Tesla K20

January 12, 2014 by hgpu

Implementations of the Hough Transform on the Embedded Multicore Processors

Xin Zhou, Norihiro Tomagou, Yasuaki Ito, Koji Nakano

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Tags: CUDA, DSP, FPGA, Image processing, nVidia, nVidia GeForce GTX 680

January 11, 2014 by hgpu

Mining Rare Features in Fingerprints Using Core Points and Triplet-based Features

Indira Munagani

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Tags: Algorithms, Biometrics, Computer science, CUDA, nVidia, nVidia GeForce GT 200, Thesis

January 11, 2014 by hgpu

An octree-based proxy for collision detection in large-scale particle systems

An WenShan, Wang Bin, Paul Jean-Claude, Sun JiaGuang

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Tags: Collision detection, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 260, Particle simulation

January 10, 2014 by hgpu

Integrating Occlusion Culling with Parallel LOD for Rendering Complex 3D Environments on GPU

Chao Peng, Yong Cao

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Tags: Algorithms, Computer science, CUDA, Mesh simplification, nVidia, nVidia Quadro 5000, OpenGL, Rendering, Thrust

January 10, 2014 by hgpu

Saddle Vertex Graph (SVG): A Novel Solution to the Discrete Geodesic Problem

Xiang Ying, Xiaoning Wang, Ying He

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Geodesic Distances, nVidia, Tesla K20, Tessellation

January 10, 2014 by hgpu

GPU Accelerated 3-D Modeling and Simulation of a Blended Kinetic Impact and Nuclear Subsurface Explosion

Brian Kaplinger, Pavithra Premaratne, Christian Setzer, Bong Wie

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Tags: CUDA, Earth and Space Sciences, nVidia

January 10, 2014 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

See all packages

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high performance computing on graphics processing units: hgpu.org

High Performance Programming for Soft Computing

GPUs for real-time processing in HEP trigger systems

A Framework for Productive, Efficient and Portable Parallel Computing

A tool for mapping Single Nucleotide Polymorphisms using Graphics Processing Units

Warp-Level Divergence in GPUs: Characterization, Impact, and Mitigation

GPU-Accelerated parallel FDTD on Distributed Heterogeneous Platform

Implementations of the Hough Transform on the Embedded Multicore Processors

Mining Rare Features in Fingerprints Using Core Points and Triplet-based Features

An octree-based proxy for collision detection in large-scale particle systems

Integrating Occlusion Culling with Parallel LOD for Rendering Complex 3D Environments on GPU

Saddle Vertex Graph (SVG): A Novel Solution to the Discrete Geodesic Problem

GPU Accelerated 3-D Modeling and Simulation of a Blended Kinetic Impact and Nuclear Subsurface Explosion

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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