high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Implementing Genetic Algorithms to CUDA Environment Using Data Parallelization

Masashi Oiso, Yoshiyuki Matsumura, Toshiyuki Yasuda, Kazuhiro Ohkura

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Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 280

January 11, 2012 by hgpu

Parallel LDPC decoding using CUDA and OpenMP

Joo-Yul Park, Ki-Seok Chung

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, Parity-check codes

January 11, 2012 by hgpu

Efficient Model-based 3D Tracking of Hand Articulations using Kinect

Iason Oikonomidis, Nikolaos Kyriazis, Antonis A. Argyros

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Tags: Computer science, Computer vision, nVidia, nVidia GeForce GTX 580

January 11, 2012 by hgpu

Massively Parallel GPU Computing of Continuum Robotic Dynamics

Roberto Orellana

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, Thesis

January 11, 2012 by hgpu

A Nearest Neighbor Data Structure for Graphics Hardware

Lawrence Cayton

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, Databases, Nearest neighbour, nVidia, Tesla C2050

January 11, 2012 by hgpu

Power-performance comparison of single-task driven many-cores

Fuat Keceli, Tali Moreshet, Uzi Vishkin

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Tags: Algorithms, Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GTX 280

January 11, 2012 by hgpu

High Precision Integer Multiplication with a GPU Using Strassen’s Algorithm with Multiple FFT Sizes

Niall Emmart, Charles C. Weems

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 480, Optimization

January 11, 2012 by hgpu

People detection method using graphics processing units for a mobile robot with an omnidirectional camera

Sungil Kang, Annah Roh, Bodam Nam, Hyunki Hong

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 460, Optical flow

January 10, 2012 by hgpu

Generating, Optimizing, and Scheduling a Compiler Level Representation of Stream Parallelism

Jeffrey M. Fifield

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Tags: Computer science, Heterogeneous systems, OpenCL, Optimization, Thesis

January 10, 2012 by hgpu

A Hybrid Circular Queue Method for Iterative Stencil Computations on GPUs

Yang Yang, Hui-Min Cui, Xiao-Bing Feng, Jing-Ling Xue

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Tags: Computer science, CUDA, nVidia, Performance, Tesla C2050

January 10, 2012 by hgpu

Acceleration of AES encryption on CUDA GPU

Keisuke Iwai, Naoki Nishikawa, Takakazu Kurokawa

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Tags: AES, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Security

January 10, 2012 by hgpu

Providing Source Code Level Portability Between CPU and GPU with MapCG

Chun-Tao Hong, De-Hao Chen, Yu-Bei Chen, Wen-Guang Chen, Wei-Min Zheng, Hai-Bo Lin

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Tags: Code generation, Computer science, CUDA, MapReduce, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, OpenCL

January 9, 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

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

Applications

Implementing Genetic Algorithms to CUDA Environment Using Data Parallelization

Parallel LDPC decoding using CUDA and OpenMP

Efficient Model-based 3D Tracking of Hand Articulations using Kinect

Massively Parallel GPU Computing of Continuum Robotic Dynamics

A Nearest Neighbor Data Structure for Graphics Hardware

Power-performance comparison of single-task driven many-cores

High Precision Integer Multiplication with a GPU Using Strassen’s Algorithm with Multiple FFT Sizes

People detection method using graphics processing units for a mobile robot with an omnidirectional camera

Generating, Optimizing, and Scheduling a Compiler Level Representation of Stream Parallelism

A Hybrid Circular Queue Method for Iterative Stencil Computations on GPUs

Acceleration of AES encryption on CUDA GPU

Providing Source Code Level Portability Between CPU and GPU with MapCG

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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