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Kernel Fusion: An Effective Method for Better Power Efficiency on Multithreaded GPU

Guibin Wang, YiSong Lin, Wei Yi

Tags: Computer science, CUDA, Energy-efficient computing, nVidia

April 9, 2011 by hgpu

A simple and efficient way to compute depth maps for multi-view videos

Gael Sourimant

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Tags: Algorithms, Computer science, Computer vision, Optical flow, Video tracking

April 9, 2011 by hgpu

Real-time parallel remote rendering for mobile devices using graphics processing units

Wucherl Yoo, Shu Shi, Won J. Jeon, Klara Nahrstedt, Roy H. Campbell

Tags: 3D Graphics and Realism, Computer science, Rendering

April 9, 2011 by hgpu

Parallel Dense Gauss-Seidel Algorithm on Many-Core Processors

H. Courtecuisse, J. Allard

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Source codes

Tags: Algorithms, Computer science, CUDA, Medicine, nVidia, nVidia GeForce GTX 280, Package, Physics-based simulation, Surgical simulation

April 8, 2011 by hgpu

Optimize or Wait? Using llc Fast-Prototyping Tool to Evaluate CUDA Optimizations

Ruyman Reyes, Francisco de Sande

Tags: Computer science, CUDA, nVidia, Optimization

April 8, 2011 by hgpu

Support Vector Machines on GPU with Sparse Matrix Format

Tsung-Kai Lin, Shao-Yi Chien

Tags: Computer science, Machine learning, nVidia, nVidia GeForce GTX 470

April 8, 2011 by hgpu

High-Speed Implementations of Block Cipher ARIA Using Graphics Processing Units

Yongjin Yeom, Yongkuk Cho, Moti Yung

Tags: Block Ciphers, Computer science, CUDA, Hardware Architecture, nVidia, nVidia GeForce 8800 GTS, OpenGL, Security

April 8, 2011 by hgpu

Record Setting Software Implementation of DES Using CUDA

G. Agosta, A. Barenghi, F. De Santis, G. Pelosi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 250, nVidia GeForce GTX 260, nVidia GeForce GTX 275, nVidia GeForce GTX 285, nVidia GeForce GTX 295, Security

April 8, 2011 by hgpu

Program Optimization of Array-Intensive SPEC2k Benchmarks on Multithreaded GPU Using CUDA and Brook+

Guibin Wang, Tao Tang, Xudong Fang, Xiaoguang Ren

Tags: Benchmarking, Brook, Computer science, CUDA, nVidia, Performance

April 8, 2011 by hgpu

CANSCID-CUDA

Michael Steffen, Veerendra Allada, Phillip Jones and Joseph Zambreno

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Tags: Computer science, CUDA, nVidia, Python, String matching, Tesla

April 8, 2011 by hgpu

Shape Manipulation on GPU

Hongqian Chen, Tianyu Huang, Fengxia Li, Shouyi Zhan

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Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce 6600, OpenGL, Rendering

April 8, 2011 by hgpu

High throughput multiple-precision GCD on the CUDA architecture

N. Fujimoto

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

April 7, 2011 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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high performance computing on graphics processing units: hgpu.org

Kernel Fusion: An Effective Method for Better Power Efficiency on Multithreaded GPU

A simple and efficient way to compute depth maps for multi-view videos

Real-time parallel remote rendering for mobile devices using graphics processing units

Parallel Dense Gauss-Seidel Algorithm on Many-Core Processors

Optimize or Wait? Using llc Fast-Prototyping Tool to Evaluate CUDA Optimizations

Support Vector Machines on GPU with Sparse Matrix Format

High-Speed Implementations of Block Cipher ARIA Using Graphics Processing Units

Record Setting Software Implementation of DES Using CUDA

Program Optimization of Array-Intensive SPEC2k Benchmarks on Multithreaded GPU Using CUDA and Brook+

CANSCID-CUDA

Shape Manipulation on GPU

High throughput multiple-precision GCD on the CUDA architecture

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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