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Parallel Breadth First Search on GPU Clusters

Zhisong Fu, Harish Kumar Dasari, Martin Berzins, Bryan Thompson

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Tags: Algorithms, Computer science, CUDA, GPU cluster, Graph theory, Network communications, nVidia, Package, Tesla K20

August 11, 2014 by hgpu

Optimising Purely Functional GPU Programs (Thesis)

Trevor L. McDonell

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Tags: Code generation, Computer science, CUDA, nVidia, Package, Performance, Tesla T10, Thesis

August 10, 2014 by hgpu

An Improved Image Segmentation Algorithm Based on GPU Parallel Computing

Haiyang Li, Zhaofeng Yang, Hongzhou He

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 260

August 10, 2014 by hgpu

Faster sequence alignment through GPU-accelerated restriction of the seed-and-extend search space

Richard Wilton, Tamas Budavari, Ben Langmead, Sarah Wheelan, Steven L. Salzberg, Alex Szalay

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Tags: Bioinformatics, Biology, CUDA, nVidia, Sequence alignment, Tesla K20

August 10, 2014 by hgpu

Real-Time Automatic Object Classification and Tracking using Genetic Programming and NVIDIA CUDA

Mehran Maghoumi

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Tags: Computer science, Computer vision, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 660, Package, Thesis

August 9, 2014 by hgpu

Vivaldi: A Domain-Specific Language for Volume Processing and Visualization on Distributed Heterogeneous Systems

Hyungsuk Choi, Woohyuk Choi, Tran Minh Quan, David G. C. Hildebrand, Hanspeter Pfister, Senior Member, Won-Ki Jeong

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Tags: CUDA, GPU cluster, Heterogeneous systems, Image processing, nVidia, Python, Rendering, Tesla M2090, Visualization

August 9, 2014 by hgpu

Fast Semantic Segmentation of RGB-D Scenes with GPU-Accelerated Deep Neural Networks

Nico Hoft, Hannes Schulz, Sven Behnke

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX Titan

August 9, 2014 by hgpu

Parallel Distributed Breadth First Search on the Kepler Architecture

Mauro Bisson, Massimo Bernaschi, Enrico Mastrostefano

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Tags: Computer science, CUDA, Distributed computing, Graph theory, nVidia, Tesla K20

August 9, 2014 by hgpu

On the Fly Porn Video Blocking Using Distributed Multi-GPU and Data Mining Approach

Urvesh Devani, Valmik B. Nikam, B.B. Meshram

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Tags: Algorithms, CUDA, Data mining, Filtering, Image processing, nVidia

August 7, 2014 by hgpu

Dense Arithmetic over Finite Fields with the CUMODP Library

Sardar Anisul Haquen, Xin Li, Farnam Mansouri, Marc Moreno Maza, Wei Pan, Ning Xie

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Tags: Algorithms, Computer science, CUDA, FFT, Linear Algebra, Mathematics, nVidia, Package, Tesla C2050

August 7, 2014 by hgpu

Multi-Agent Systems and General-Purpose Computing on Graphics Processing Units: A Survey

Emmanuel Hermellin, Fabien Michel, Jacques Ferber

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Tags: Computer science, CUDA, nVidia, Review

August 7, 2014 by hgpu

Cell Charge Approximation for Accelerating Molecular Simulation on CUDA-Enabled GPU

Shyam Mohan K T, Jayaraj P B

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Tags: Chemistry, CUDA, Electrostatics, Molecular dynamics, Molecular simulation, nVidia, Programming techniques

August 7, 2014 by hgpu

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

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

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

GEAK-agent: LLM-based AI agent, which can write correct and efficient GPU kernels automatically

Geak: Introducing Triton Kernel AI Agent & Evaluation Benchmarks

OpenDwarfs 2025: re-engineered version of the OpenDwarfs benchmark suite, for compatibility with modern platforms

OpenDwarfs 2025: Modernizing the OpenDwarfs Benchmark Suite for Heterogeneous Computing

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high performance computing on graphics processing units: hgpu.org

Parallel Breadth First Search on GPU Clusters

Optimising Purely Functional GPU Programs (Thesis)

An Improved Image Segmentation Algorithm Based on GPU Parallel Computing

Faster sequence alignment through GPU-accelerated restriction of the seed-and-extend search space

Real-Time Automatic Object Classification and Tracking using Genetic Programming and NVIDIA CUDA

Vivaldi: A Domain-Specific Language for Volume Processing and Visualization on Distributed Heterogeneous Systems

Fast Semantic Segmentation of RGB-D Scenes with GPU-Accelerated Deep Neural Networks

Parallel Distributed Breadth First Search on the Kepler Architecture

On the Fly Porn Video Blocking Using Distributed Multi-GPU and Data Mining Approach

Dense Arithmetic over Finite Fields with the CUMODP Library

Multi-Agent Systems and General-Purpose Computing on Graphics Processing Units: A Survey

Cell Charge Approximation for Accelerating Molecular Simulation on CUDA-Enabled GPU

Recent source codes

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)

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

SIGMo: Scalable Isomorphism Graph Matching on GPUs

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

GEAK-agent: LLM-based AI agent, which can write correct and efficient GPU kernels automatically

OpenDwarfs 2025: re-engineered version of the OpenDwarfs benchmark suite, for compatibility with modern platforms

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